Lombards history Essay Example

Lombards history Essay Example Lombards history Essay Lombards history Essay ONeill: (Very angry, in Tyrone accent) I think so. And this is my country. (Quietly, in his usual accent) I have married a very talented, a very spirited, a very beautiful young woman. This sudden change of accent is a method of gaining presence and making a point for ONeill, the use of his Irish accent shows he is in command and he is still in charge of his country. ONeills outburst of anger is also whilst defending and justifying his marriage to Mabel this really shows how loyal he is to her deep down and that he respects Mabels betrayal of her own country.ONeills description of Mabel (talented, spirited) is very accurate and is how Friel portrays her throughout the play. Mabel is a unique character as she manages to stay neutral to both opposing factions, as a character she represents peace and harmony because of this. Archbishop Lombard is described by the narrator, By profession he is a church diplomat and his manner is careful and exact. These careful choice of words tell the audience that Lombard is quite a sly character with a good sense of language and means to talk his way out or in to a situation well.He is not likely to be very religious but exploits his profession in order to gain himself an advantage. Lombard decides to write ONeills history, and, true to his character, refers to history as a story (p. 8), avoiding ONeills questions when asked if he will be telling the truth. Lombard: Im not sure that truth is a primary ingredient is that a shocking thing to say? (p. 8-9) It is clear from this conversation that both ONeill and Lombard have completely different stances on writing history.ONeill believes it should be an accurate document of events whereas Lombard believes it should be twisted in order to become an entertaining tale based on events. This presents ONeill with another pair of identities Hero vs. the real ONeill. How he will be portrayed through Lombards history will certainly not be the real, womanising, careless ONeill, but a brave leader and hero of Ireland.These ideas Friel has implemented challenges the audience to think about what they would themselves prefer as history the truth or a fairytale created to entertain in order to be passed down to others. Lombards rhetorical question ( is that a shocking thing to say? ) shows he knows that it is slightly devious, but its the truth never the less. The second act contrasts entirely with the first. Only eight months have passed in the play, but the Battle of Kinsale has been lost and ONeill is now living in poverty, He is using a wooden box as a table the narrator describes. ONeill: Have you any food? (p. 43) The mood is now desperate and sinister, ONeill is no longer the charismatic and talkative character he was eight months ago, but now an ageing man with growing regret, his rich and happy life no longer apart of him but now placed with a criminal identity.Wanted by both the Irish and English, both of ONeills identities have abandoned him. The end of Act 1 Scene 1 announces the death of both Mabel and her baby the cross-breed that Mabels sister Mary had warned her about. Friels use of herbs have also pre-empted the inevitable fate of Mabel and the baby. ONeill: (Almost in a whisper) Yes, I think Ill take some of that whiskey now, Hugh. Just a thimbleful, if you please. And no water. Oh, dear God (Quick black. ) (p. 54) The stage directions that show ONeill almost unable to speak after hearing the shocking news shows how unexpected it is for him.The quick black tells the audience it is the end of the scene and also adds further dramatic effect to the abrupt news the way this is delivered most probably leaves the audience is a state of shock also. Scene 2 is set in Rome, many years later (p. 54), ONeill and the others have been forced to flee, where they are no longer welcome in both Ireland or England. The narrator tells us he has a volatile and bitter temper, carries a walking stick and has begun to lose sight in his eyes. This image paints the picture of an elderly, dishevelled man burdened with the regret of many terrible mistakes.Throughout most of this final scene ONeill is scarcely sober, this indicates he must be very unhappy with his life and how it has ended up for him to drink so much. ONeill: (He bumps into a stool and knocks it over. As he straightens it) Forgive me. (p. 54) As ONeill drunkenly bumps into a stool and then apologises to it for knocking it over, you feel instantly embarrassed and sympathetic for ONeill. He is now a shadow of his former self, no longer his bubbly, talkative and distracted character.It appears to the audience that ONeill has lost sense of any identity he once had, which isnt hard to believe considering he has been banished from not one but both of his homes, and now resides in a foreign country that has been alien to him most of his life. ONeill: You said Mabel will have her place. That place is central to me. (p. 63) As the play draws to an end we see a scene shared by Lombard, Harry and ONeill, ONeill desperately trying to convince Lombard to tell the truth in his history, about his failure and corruption, and most interestingly to include Mabel.This shows how deeply he cared for her and enforces the idea of the bond they had over their dual identities. This must have comforted ONeill and made him feel at home, to lose that was really the turning point in his personality, almost as if when Mabel died she took his identity with her, as she was the last thing holding it together and making sense from it all. Act 2 Scene 2 reaches a close as ONeill finally accepts defeat and realises Lombard will write the history how he wants it, Lombard continuously asks What changes do you want me to make? But despite the details ONeill wants included, Lombard will still tell it in a way that is entertaining. Lombard begins to read the history as ONeill starts to cry and mourn for Mabel, (ONeill is now crying. Bring the lights down slowly. ) (p. 71). The slow fade of lights signifies the end of the play. Friel presented identity by portraying a man who had everything, and slowly stripped him of every last meaningful thing he had in order to convey the message of what makes us who we are.ONeill lost both of his countries, and his wife and baby, the loss of Mabel being pivotal she was the one person he could relate to and feel close to, and the baby symbolised a new beginning where the English and Irish could live in harmony together. Through Lombards history we will not learn about ONeills duality, his close friend Harry or wife Mabel that helped shape his character, but a Hero who fought a tough battle for Ireland, fled with the Flight of the Earls, and shall be king for the span of his life (p. 71), thus telling us that identity exists in many forms.

New SAT Conversion Chart Old 2400 to New 1600 (Official)

New SAT Conversion Chart Old 2400 to New 1600 (Official) SAT / ACT Prep Online Guides and Tips In March 2016, the SAT underwent a massive redesign, part of which included a change to its scoring system: it shifted from a 2400-point scale to a 1600-point scale. But how do you compare a new SAT score with one on the old SAT 2400 scale? What scores are colleges looking for since some still don't have data on the new SAT? The official new SAT to old SAT conversion charts below offer the most accurate score conversions from one SAT to the other. If you need to convert your new SAT score to an old SAT score, or vice versa, simply use our handy conversion tool below to find your score. After you get your SAT conversion, keep reading- I tell you why it's easier to get a higher SAT score than before due to the new SAT scoring advantage (the new SAT score is higher in certain score regions!). Disappointed with your scores? Want to improve your SAT score by 160 points? We've written a guide about the top 5 strategies you must be using to have a shot at improving your score. Download it for free now: Old 2400 SAT to New 1600 SAT Conversion Tool If you've taken both the new SAT and old SAT and want to know which test you've done better on, this tool will do that automatically for you. Enter your old SAT scores on the LEFT to get your new SAT scores on the RIGHT. Enter your old 2400 SAT here: Old Math (max 800) Old Reading (max 800) Old Writing (max 800) Get new 1600 SAT scores here: Old Total SAT (max 2400) New Math (max 800) New Reading + Writing (max 800) New Total SAT (max 1600) // 800) { $(this).val(800); } var m = parseInt($("#in_old_math").val()); var w = parseInt($("#in_old_writing").val()); var c = parseInt($("#in_old_critical").val()); var old_r = w + c var old_total = m + c + w; var new_m; var new_r; var new_total; if (isNaN(m)) { $("#out_new_math").val(''); } else { switch (m) { case 200:new_m = 200;break;case 210:new_m = 220;break;case 220:new_m = 230;break;case 230:new_m = 250;break;case 240:new_m = 260;break;case 250:new_m = 280;break;case 260:new_m = 300;break;case 270:new_m = 310;break;case 280:new_m = 330;break;case 290:new_m = 340;break;case 300:new_m = 350;break;case 310:new_m = 360;break;case 320:new_m = 360;break;case 330:new_m = 370;break;case 340:new_m = 380;break;case 350:new_m = 390;break;case 360:new_m = 400;break;case 370:new_m = 410;break;case 380:new_m = 420;break;case 390:new_m = 430;break;case 400:new_m = 440;break;case 410:new_m = 450;break;case 420:new_m = 460;break;case 430:new_m = 470;break;case 440:new_m = 480;break;case 450:new_m = 490;break;case 460:new_m = 500;break;case 470:new_m = 510;break;case 480:new_m = 510;break;case 490:new_m = 520;break;case 500:new_m = 530;break;case 510:new_m = 540;break;case 520:new_m = 550;break;case 530:new_m = 560;break;case 540:new_m = 570;break;case 550:new_m = 570;break;ca se 560:new_m = 580;break;case 570:new_m = 590;break;case 580:new_m = 600;break;case 590:new_m = 610;break;case 600:new_m = 620;break;case 610:new_m = 630;break;case 620:new_m = 640;break;case 630:new_m = 650;break;case 640:new_m = 660;break;case 650:new_m = 670;break;case 660:new_m = 690;break;case 670:new_m = 700;break;case 680:new_m = 710;break;case 690:new_m = 720;break;case 700:new_m = 730;break;case 710:new_m = 740;break;case 720:new_m = 750;break;case 730:new_m = 760;break;case 740:new_m = 760;break;case 750:new_m = 770;break;case 760:new_m = 780;break;case 770:new_m = 780;break;case 780:new_m = 790;break;case 790:new_m = 800;break;case 800:new_m = 800;break; } $("#out_new_math").val(new_m); } if (isNaN(old_r)) { $("#out_new_verbal").val(''); } else { switch (old_r) { case 400:new_r = 200;break;case 410:new_r = 210;break;case 420:new_r = 220;break;case 430:new_r = 230;break;case 440:new_r = 240;break;case 450:new_r = 260;break;case 460:new_r = 270;break;case 470:new_r = 280;break;case 480:new_r = 290;break;case 490:new_r = 300;break;case 500:new_r = 310;break;case 510:new_r = 310;break;case 520:new_r = 320;break;case 530:new_r = 320;break;case 540:new_r = 330;break;case 550:new_r = 330;break;case 560:new_r = 330;break;case 570:new_r = 340;break;case 580:new_r = 340;break;case 590:new_r = 350;break;case 600:new_r = 350;break;case 610:new_r = 360;break;case 620:new_r = 360;break;case 630:new_r = 360;break;case 640:new_r = 370;break;case 650:new_r = 370;break;case 660:new_r = 380;break;case 670:new_r = 380;break;case 680:new_r = 390;break;case 690:new_r = 390;break;case 700:new_r = 400;break;case 710:new_r = 400;break;case 720:new_r = 410;break;case 730:new_r = 410;break;case 740:new_r = 420;break;case 750:new_r = 420;break;ca se 760:new_r = 430;break;case 770:new_r = 430;break;case 780:new_r = 440;break;case 790:new_r = 440;break;case 800:new_r = 450;break;case 810:new_r = 450;break;case 820:new_r = 460;break;case 830:new_r = 460;break;case 840:new_r = 470;break;case 850:new_r = 480;break;case 860:new_r = 480;break;case 870:new_r = 490;break;case 880:new_r = 490;break;case 890:new_r = 500;break;case 900:new_r = 500;break;case 910:new_r = 510;break;case 920:new_r = 510;break;case 930:new_r = 520;break;case 940:new_r = 530;break;case 950:new_r = 530;break;case 960:new_r = 540;break;case 970:new_r = 540;break;case 980:new_r = 550;break;case 990:new_r = 550;break;case 1000:new_r = 560;break;case 1010:new_r = 560;break;case 1020:new_r = 570;break;case 1030:new_r = 570;break;case 1040:new_r = 580;break;case 1050:new_r = 580;break;case 1060:new_r = 590;break;case 1070:new_r = 590;break;case 1080:new_r = 600;break;case 1090:new_r = 600;break;case 1100:new_r = 610;break;case 1110:new_r = 610;break;case 1120:new_r = 620;break;case 1130:new_r = 620;break;case 1140:new_r = 630;break;case 1150:new_r = 630;break;case 1160:new_r = 640;break;case 1170:new_r = 640;break;case 1180:new_r = 650;break;case 1190:new_r = 650;break;case 1200:new_r = 650;break;case 1210:new_r = 660;break;case 1220:new_r = 660;break;case 1230:new_r = 670;break;case 1240:new_r = 670;break;case 1250:new_r = 680;break;case 1260:new_r = 680;break;case 1270:new_r = 680;break;case 1280:new_r = 690;break;case 1290:new_r = 690;break;case 1300:new_r = 700;break;case 1310:new_r = 700;break;case 1320:new_r = 700;break;case 1330:new_r = 710;break;case 1340:new_r = 710;break;case 1350:new_r = 710;break;case 1360:new_r = 720;break;case 1370:new_r = 720;break;case 1380:new_r = 730;break;case 1390:new_r = 730;break;case 1400:new_r = 730;break;case 1410:new_r = 740;break;case 1420:new_r = 740;break;case 1430:new_r = 740;break;case 1440:new_r = 750;break;case 1450:new_r = 750;break;case 1460:new_r = 750;break;case 1470:new_r = 760;break;case 1480:new_r = 760;break;case 1490:new_r = 760;break;case 1500:new_r = 770;break;case 1510:new_r = 770;break;case 1520:new_r = 770;break;case 1530:new_r = 780;break;case 1540:new_r = 780;break;case 1550:new_r = 780;break;case 1560:new_r = 790;break;case 1570:new_r = 790;break;case 1580:new_r = 800;break;case 1590:new_r = 800;break;case 1600:new_r = 800;break; } $("#out_new_verbal").val(new_r); } if (!isNaN(old_total)) { $("#out_old_total").val(old_total); switch (old_total) {case 600: new_total = 400; break; case 610: new_total = 410; break; case 620: new_total = 420; break; case 630: new_total = 430; break; case 640: new_total = 440; break; case 650: new_total = 450; break; case 660: new_total = 460; break; case 670: new_total = 470; break; case 680: new_total = 480; break; case 690: new_total = 490; break; case 700: new_total = 500; break; case 710: new_total = 510; break; case 720: new_total = 520; break; case 730: new_total = 530; break; case 740: new_total = 540; break; case 750: new_total = 550; break; case 760: new_total = 560; break; case 770: new_total = 580; break; case 780: new_total = 590; break; case 790: new_total = 600; break; case 800: new_total = 610; break; case 810: new_total = 620; break; case 820: new_total = 630; break; case 830: new_total = 640; break; case 840: new_total = 650; break; case 850: new_total = 660; break; case 860: new_total = 670; break; case 870: new_total = 680; break; case 880: new_total = 690; break; case 890: new_total = 690; break; case 900: new_total = 700; break; case 910: new_total = 710; break; case 920: new_total = 710; break; case 930: new_total = 720; break; case 940: new_total = 730; break; case 950: new_total = 730; break; case 960: new_total = 740; break; case 970: new_total = 740; break; case 980: new_total = 750; break; case 990: new_total = 760; break; case 1000: new_total = 760; break; case 1010: new_total = 770; break; case 1020: new_total = 780; break; case 1030: new_total = 780; break; case 1040: new_total = 790; break; case 1050: new_total = 800; break; case 1060: new_total = 800; break; case 1070: new_total = 810; break; case 1080: new_total = 810; break; case 1090: new_total = 820; break; case 1100: new_total = 830; break; case 1110: new_total = 830; break; case 1120: new_total = 840; break; case 1130: new_total = 850; break; case 1140: new_total = 850; break; case 1150: new_total = 860; break; case 1160: new_total = 870; break; case 1170: new_ total = 870; break; case 1180: new_total = 880; break; case 1190: new_total = 890; break; case 1200: new_total = 890; break; case 1210: new_total = 900; break; case 1220: new_total = 910; break; case 1230: new_total = 910; break; case 1240: new_total = 920; break; case 1250: new_total = 930; break; case 1260: new_total = 930; break; case 1270: new_total = 940; break; case 1280: new_total = 950; break; case 1290: new_total = 950; break; case 1300: new_total = 960; break; case 1310: new_total = 970; break; case 1320: new_total = 980; break; case 1330: new_total = 980; break; case 1340: new_total = 990; break; case 1350: new_total = 1000; break; case 1360: new_total = 1000; break; case 1370: new_total = 1010; break; case 1380: new_total = 1020; break; case 1390: new_total = 1020; break; case 1400: new_total = 1030; break; case 1410: new_total = 1030; break; case 1420: new_total = 1040; break; case 1430: new_total = 1050; break; case 1440: new_total = 1050; break; case 1450: new_total = 1060; break; case 1460: new_total = 1070; break; case 1470: new_total = 1070; break; case 1480: new_total = 1080; break; case 1490: new_total = 1090; break; case 1500: new_total = 1090; break; case 1510: new_total = 1100; break; case 1520: new_total = 1110; break; case 1530: new_total = 1110; break; case 1540: new_total = 1120; break; case 1550: new_total = 1120; break; case 1560: new_total = 1130; break; case 1570: new_total = 1140; break; case 1580: new_total = 1140; break; case 1590: new_total = 1150; break; case 1600: new_total = 1160; break; case 1610: new_total = 1160; break; case 1620: new_total = 1170; break; case 1630: new_total = 1180; break; case 1640: new_total = 1180; break; case 1650: new_total = 1190; break; case 1660: new_total = 1200; break; case 1670: new_total = 1200; break; case 1680: new_total = 1210; break; case 1690: new_total = 1210; break; case 1700: new_total = 1220; break; case 1710: new_total = 1230; break; case 1720: new_total = 1230; break; case 1730: new_total = 1240; break; case 1740: new_total = 1250; break; case 1750: new_total = 1250; break; case 1760: new_total = 1260; break; case 1770: new_total = 1270; break; case 1780: new_total = 1270; break; case 1790: new_total = 1280; break; case 1800: new_total = 1290; break; case 1810: new_total = 1290; break; case 1820: new_total = 1300; break; case 1830: new_total = 1300; break; case 1840: new_total = 1310; break; case 1850: new_total = 1320; break; case 1860: new_total = 1320; break; case 1870: new_total = 1330; break; case 1880: new_total = 1340; break; case 1890: new_total = 1340; break; case 1900: new_total = 1350; break; case 1910: new_total = 1350; break; case 1920: new_total = 1360; break; case 1930: new_total = 1370; break; case 1940: new_total = 1370; break; case 1950: new_total = 1380; break; case 1960: new_total = 1380; break; case 1970: new_total = 1390; break; case 1980: new_total = 1400; break; case 1990: new_total = 1400; break; case 2000: new_total = 1410; break; case 2010: new_total = 1410; break; case 2020: new_total = 1420; break; case 2030: new_total = 1430; break; case 2040: new_total = 1430; break; case 2050: new_total = 1440; break; case 2060: new_total = 1440; break; case 2070: new_total = 1450; break; case 2080: new_total = 1450; break; case 2090: new_total = 1460; break; case 2100: new_total = 1470; break; case 2110: new_total = 1470; break; case 2120: new_total = 1480; break; case 2130: new_total = 1480; break; case 2140: new_total = 1490; break; case 2150: new_total = 1490; break; case 2160: new_total = 1500; break; case 2170: new_total = 1500; break; case 2180: new_total = 1510; break; case 2190: new_total = 1510; break; case 2200: new_total = 1510; break; case 2210: new_total = 1520; break; case 2220: new_total = 1520; break; case 2230: new_total = 1530; break; case 2240: new_total = 1530; break; case 2250: new_total = 1540; break; case 2260: new_total = 1540; break; case 2270: new_total = 1550; break; case 2280: new_total = 15 50; break; case 2290: new_total = 1550; break; case 2300: new_total = 1560; break; case 2310: new_total = 1560; break; case 2320: new_total = 1570; break; case 2330: new_total = 1570; break; case 2340: new_total = 1580; break; case 2350: new_total = 1580; break; case 2360: new_total = 1590; break; case 2370: new_total = 1590; break; case 2380: new_total = 1590; break; case 2390: new_total = 1600; break; case 2400: new_total = 1600; break; } $("#out_new_total").val(new_total); var old_to_new_error_payload = "Why don't the section scores add up to the total score? Summing ".concat(new_m.toString()," and ",new_r.toString()," gives ",(new_m+new_r).toString(),", not ",new_total.toString(),"! The reason is that the College Board has one conversion table for individual sections (like Math to Math), and another for total to total conversion. They try to make each individual conversion as accurate as possible, which leads to some inconsistencies. You can read more here.Long story short? Don't worry about it. These are only meant to be estimates anyway. The two totals are ",Math.abs(new_total-new_r-new_m).toString()," points apart - just split the difference and use that value for what you need."); if (new_total != (new_r + new_m)) { document.getElementById("old_to_new_error").innerHTML = old_to_new_error_payload; } else { document.getElementById("old_to_new_error").innerHTML = ""; } } else { $("#out_old_total").val(''); $("#out_new_total").val(''); document.getElementById("old_to_new_error").innerHTML = ""; } }); }); // ]]> New 1600 SAT to Old 2400 SAT Conversion Tool Alternatively, if you want to input your new SAT scores and get old SAT scores, here's how to do it: Enter your new 1600 SAT here: New Math (max 800) New Reading + Writing (max 800) Get old 2400 SAT scores here: New Total SAT (max 1600) Old Math (max 800) Old Reading + Writing (max 1600) Old Total SAT (max 2400) // 800) { $(this).val(800); } var new_m = parseInt($("#in_new_math").val()); var new_v = parseInt($("#in_new_verbal").val()); new_total = new_m + new_v var old_m; var old_v; var old_total; if (isNaN(new_m)) { $("#out_old_math").val(''); } else { switch (new_m) { case 200: old_m = 200; break; case 210: old_m = 200; break; case 220: old_m = 210; break; case 230: old_m = 220; break; case 240: old_m = 220; break; case 250: old_m = 230; break; case 260: old_m = 240; break; case 270: old_m = 240; break; case 280: old_m = 250; break; case 290: old_m = 260; break; case 300: old_m = 260; break; case 310: old_m = 270; break; case 320: old_m = 280; break; case 330: old_m = 280; break; case 340: old_m = 290; break; case 350: old_m = 300; break; case 360: old_m = 310; break; case 370: old_m = 330; break; case 380: old_m = 340; break; case 390: old_m = 350; break; case 400: old_m = 360; break; case 410: old_m = 370; break; case 420: old_m = 380; break; case 430: old_m = 390; break; case 440: old_m = 400; break; case 450: old_m = 410; break; case 460: old_m = 420; break; case 470: old_m = 430; break; case 480: old_m = 440; break; case 490: old_m = 450; break; case 500: old_m = 460; break; case 510: old_m = 470; break; case 520: old_ m = 490; break; case 530: old_m = 500; break; case 540: old_m = 510; break; case 550: old_m = 520; break; case 560: old_m = 530; break; case 570: old_m = 550; break; case 580: old_m = 560; break; case 590: old_m = 570; break; case 600: old_m = 580; break; case 610: old_m = 590; break; case 620: old_m = 600; break; case 630: old_m = 610; break; case 640: old_m = 620; break; case 650: old_m = 630; break; case 660: old_m = 640; break; case 670: old_m = 650; break; case 680: old_m = 650; break; case 690: old_m = 660; break; case 700: old_m = 670; break; case 710: old_m = 680; break; case 720: old_m = 690; break; case 730: old_m = 700; break; case 740: old_m = 710; break; case 750: old_m = 720; break; case 760: old_m = 740; break; case 770: old_m = 750; break; case 780: old_m = 760; break; case 790: old_m = 780; break; case 800: old_m = 800; break; } $("#out_old_math").val(old_m); } if (isNaN(new_v)) { $("#out_old_critical").val(''); } else { switch (new_v) { case 200:old_v = 400;break;case 210:old_v = 410;break;case 220:old_v = 420;break;case 230:old_v = 430;break;case 240:old_v = 440;break;case 250:old_v = 440;break;case 260:old_v = 450;break;case 270:old_v = 460;break;case 280:old_v = 470;break;case 290:old_v = 480;break;case 300:old_v = 490;break;case 310:old_v = 500;break;case 320:old_v = 520;break;case 330:old_v = 550;break;case 340:old_v = 570;break;case 350:old_v = 600;break;case 360:old_v = 620;break;case 370:old_v = 640;break;case 380:old_v = 660;break;case 390:old_v = 690;break;case 400:old_v = 710;break;case 410:old_v = 730;break;case 420:old_v = 750;break;case 430:old_v = 770;break;case 440:old_v = 790;break;case 450:old_v = 800;break;case 460:old_v = 820;break;case 470:old_v = 840;break;case 480:old_v = 860;break;case 490:old_v = 880;break;case 500:old_v = 890;break;case 510:old_v = 910;break;case 520:old_v = 930;break;case 530:old_v = 950;break;case 540:old_v = 970;break;case 550:old_v = 990;break;ca se 560:old_v = 1010;break;case 570:old_v = 1020;break;case 580:old_v = 1040;break;case 590:old_v = 1060;break;case 600:old_v = 1080;break;case 610:old_v = 1100;break;case 620:old_v = 1120;break;case 630:old_v = 1150;break;case 640:old_v = 1170;break;case 650:old_v = 1190;break;case 660:old_v = 1210;break;case 670:old_v = 1240;break;case 680:old_v = 1260;break;case 690:old_v = 1290;break;case 700:old_v = 1310;break;case 710:old_v = 1340;break;case 720:old_v = 1370;break;case 730:old_v = 1390;break;case 740:old_v = 1420;break;case 750:old_v = 1450;break;case 760:old_v = 1480;break;case 770:old_v = 1510;break;case 780:old_v = 1540;break;case 790:old_v = 1560;break;case 800:old_v = 1590;break; } $("#out_old_critical").val(old_v); } if (!isNaN(new_total)) { $("#out_new_total2").val(new_total); switch(new_total) { case 400: old_total = 600; break;case 410: old_total = 610; break;case 420: old_total = 620; break;case 430: old_total = 630; break;case 440: old_total = 640; break;case 450: old_total = 650; break;case 460: old_total = 660; break;case 470: old_total = 670; break;case 480: old_total = 680; break;case 490: old_total = 690; break;case 500: old_total = 700; break;case 510: old_total = 710; break;case 520: old_total = 720; break;case 530: old_total = 730; break;case 540: old_total = 730; break;case 550: old_total = 740; break;case 560: old_total = 750; break;case 570: old_total = 760; break;case 580: old_total = 770; break;case 590: old_total = 780; break;case 600: old_total = 790; break;case 610: old_total = 800; break;case 620: old_total = 810; break;case 630: old_total = 820; break;case 640: old_total = 830; break;case 650: old_total = 840; break;case 660: old_total = 850; break;case 670: old_total = 860; break;case 680: old_total = 870; break;case 690: old_total = 880; break;ca se 700: old_total = 900; break;case 710: old_total = 910; break;case 720: old_total = 930; break;case 730: old_total = 950; break;case 740: old_total = 960; break;case 750: old_total = 980; break;case 760: old_total = 990; break;case 770: old_total = 1010; break;case 780: old_total = 1030; break;case 790: old_total = 1040; break;case 800: old_total = 1060; break;case 810: old_total = 1070; break;case 820: old_total = 1090; break;case 830: old_total = 1110; break;case 840: old_total = 1120; break;case 850: old_total = 1140; break;case 860: old_total = 1150; break;case 870: old_total = 1170; break;case 880: old_total = 1180; break;case 890: old_total = 1200; break;case 900: old_total = 1210; break;case 910: old_total = 1220; break;case 920: old_total = 1240; break;case 930: old_total = 1250; break;case 940: old_total = 1270; break;case 950: old_total = 1280; break;case 960: old_total = 1300; break;case 970: old_total = 1310; break;case 980: old_total = 1330; break;case 990: old_total = 1340; break;case 1000: old_total = 1360; break;case 1010: old_total = 1370; break;case 1020: old_total = 1390; break;case 1030: old_total = 1400; break;case 1040: old_total = 1420; break;case 1050: old_total = 1430; break;case 1060: old_total = 1450; break;case 1070: old_total = 1460; break;case 1080: old_total = 1480; break;case 1090: old_total = 1490; break;case 1100: old_total = 1510; break;case 1110: old_total = 1530; break;case 1120: old_total = 1540; break;case 1130: old_total = 1560; break;case 1140: old_total = 1570; break;case 1150: old_total = 1590; break;case 1160: old_total = 1610; break;case 1170: old_total = 1620; break;case 1180: old_total = 1640; break;case 1190: old_total = 1650; break;case 1200: old_total = 1670; break;case 1210: old_total = 1680; break;case 1220: old_total = 1700; break;case 1230: old_total = 1710; break;case 1240: old_total = 1730; break;case 1250: old_total = 1750; break;case 1260: old_total = 1760; break;case 1270: old_total = 1780; break;cas e 1280: old_total = 1790; break;case 1290: old_total = 1810; break;case 1300: old_total = 1820; break;case 1310: old_total = 1840; break;case 1320: old_total = 1850; break;case 1330: old_total = 1870; break;case 1340: old_total = 1880; break;case 1350: old_total = 1900; break;case 1360: old_total = 1920; break;case 1370: old_total = 1930; break;case 1380: old_total = 1950; break;case 1390: old_total = 1970; break;case 1400: old_total = 1990; break;case 1410: old_total = 2000; break;case 1420: old_total = 2020; break;case 1430: old_total = 2040; break;case 1440: old_total = 2060; break;case 1450: old_total = 2080; break;case 1460: old_total = 2090; break;case 1470: old_total = 2110; break;case 1480: old_total = 2130; break;case 1490: old_total = 2150; break;case 1500: old_total = 2170; break;case 1510: old_total = 2190; break;case 1520: old_total = 2210; break;case 1530: old_total = 2230; break;case 1540: old_total = 2260; break;case 1550: old_total = 2280; break;case 1560: old_total = 2300; break;case 1570: old_total = 2330; break;case 1580: old_total = 2350; break;case 1590: old_total = 2370; break;case 1600: old_total = 2390; break; } $("#out_old_total2").val(old_total); var new_to_old_error_payload = "Why don't the old section scores add up to the old total score? Summing ".concat(old_m.toString()," and ",old_v.toString()," gives ",(old_m+old_v).toString(),", not ",old_total.toString(),"! The reason is that the College Board has one conversion table for individual sections (like Math to Math), and another for total to total conversion. They try to make each individual conversion as accurate as possible, which leads to some inconsistencies. You can read more here.Long story short? Don't worry about it. These are only meant to be estimates anyway. The two totals are ",Math.abs(old_total-old_m-old_v).toString()," points apart - just split the difference and use that value for what you need."); if (old_total != (old_v + old_m)) { document.getElementById("new_to_old_error").innerHTML = new_to_old_error_payload; } else { document.getElementById("new_to_old_error").innerHTML = ""; } } else { $("#out_old_total2").val(''); $("#out_new_total2").val(''); document.getElementById("new_to_old_error").innerHTML = ""; } }); }); // ]]> Official Old SAT to New SAT Conversion Charts We created our conversion tools above using the College Board's official SAT conversion charts. Now, we give you actual conversion tables so that you can see more clearly how new SAT scores match up with old SAT scores (and vice versa). Before you use these tables, know that the most accurate conversion method is to split up the score conversion section by section. In other words, don't just use the College Board's total composite conversion chart (from 2400 to 1600); these can be inaccurate as they ignore the fact that individual sections convert scores differently. For example, if you're converting from an old SAT score to a new SAT score, you'd do the following: Get your old SAT Math score (out of 800) and convert it to a new SAT Math score (out of 800). Get your old Reading + Writing score (out of 1600) and convert it to a new SAT Reading + Writing score (out of 800). Old SAT Math to New SAT Math Conversion Table Math is straightforward because both the new SAT and old SAT Math sections are out of 800. Old SAT Math New SAT Math Old SAT Math New SAT Math Old SAT Math New SAT Math 800 800 600 620 400 440 790 800 590 610 390 430 780 790 580 600 380 420 770 780 570 590 370 410 760 780 560 580 360 400 750 770 550 570 350 390 740 760 540 570 340 380 730 760 530 560 330 370 720 750 520 550 320 360 710 740 510 540 310 360 700 730 500 530 300 350 690 720 490 520 290 340 680 710 480 510 280 330 670 700 470 510 270 310 660 690 460 500 260 300 650 670 450 490 250 280 640 660 440 480 240 260 630 650 430 470 230 250 620 640 420 460 220 230 610 630 410 450 210 220 200 200 Old SAT Reading + Writing to New SAT Reading + Writing Conversion Table On the old SAT, Reading and Writing were separate sections, each out of 800. On the new SAT, however, these two sections are combined for a total Evidence-Based Reading and Writing (EBRW) score out of 800. In this table, we added the old SAT Reading and Writing sections together to get a single Reading and Writing score out of 1600. Old R+W New R+W Old R+W New R+W Old R+W New R+W 1600 800 1200 650 800 450 1590 800 1190 650 790 440 1580 800 1180 650 780 440 1570 790 1170 640 770 430 1560 790 1160 640 760 430 1550 780 1150 630 750 420 1540 780 1140 630 740 420 1530 780 1130 620 730 410 1520 770 1120 620 720 410 1510 770 1110 610 710 400 1500 770 1100 610 700 400 1490 760 1090 600 690 390 1480 760 1080 600 680 390 1470 760 1070 590 670 380 1460 750 1060 590 660 380 1450 750 1050 580 650 370 1440 750 1040 580 640 370 1430 740 1030 570 630 360 1420 740 1020 570 620 360 1410 740 1010 560 610 360 1400 730 1000 560 600 350 1390 730 990 550 590 350 1380 730 980 550 580 340 1370 720 970 540 570 340 1360 720 960 540 560 330 1350 710 950 530 550 330 1340 710 940 530 540 330 1330 710 930 520 530 320 1320 700 920 510 520 320 1310 700 910 510 510 310 1300 700 900 500 500 310 1290 690 890 500 490 300 1280 690 880 490 480 290 1270 680 870 490 470 280 1260 680 860 480 460 270 1250 680 850 480 450 260 1240 670 840 470 440 240 1230 670 830 460 430 230 1220 660 820 460 420 220 1210 660 810 450 410 210 400 200 Using the two section tables above, you can convert any scores from the new SAT to the old SAT, and vice versa. You can then add up the scores you find to get your composite score. Want to get serious about improving your SAT score? We have the leading online SAT prep program that will raise your score by 160+ points, guaranteed. Exclusive to our program, we have an expert SAT instructor grade each of your SAT essays and give you customized feedback on how to improve your score. This can mean an instant jump of 80 points on the Writing section alone. Check out our 5-day free trial and sign up for free: Composite New SAT to Old SAT Conversion Chart This SAT conversion table is the one I recommend not using since it goes from composite score to composite score. This manner of translating scores is less accurate than splitting up your composite score section by section as recommended above. For example, here are two scenarios of a student with an 1800 score on the old SAT. If you just use the table below, you'd get 1290 as your new total SAT score. But this is just an approximation- if you use your section scores, you end up with entirely different conversions! Scenario 1 Old SAT Math: 800 Reading: 600 Writing: 400 Composite: 1800/2400 New SAT New Math: 800 New Reading + Writing: 560 New Composite: 1360/1600 Scenario 2 Old SAT Math: 600 Reading: 600 Writing: 600 Composite: 1800/2400 New SAT New Math: 620 New Reading + Writing: 650 New Composite: 1270/1600 Notice how in both scenarios, the old composite score adds up to 1800, but the new composite score varies by nearly 100 points. Once again, if you were to use the table below, you'd get 1290 for both, but this conversion is clearly less accurate since the two scenarios above yield wildly different scores when converting by section. Regardless, here's the official SAT composite score conversion chart for your reference: New SAT Old SAT New SAT Old SAT New SAT Old SAT 1600 2390 1200 1670 800 1060 1590 2370 1190 1650 790 1040 1580 2350 1180 1640 780 1030 1570 2330 1170 1620 770 1010 1560 2300 1160 1610 760 990 1550 2280 1150 1590 750 980 1540 2260 1140 1570 740 960 1530 2230 1130 1560 730 950 1520 2210 1120 1540 720 930 1510 2190 1110 1530 710 910 1500 2170 1100 1510 700 900 1490 2150 1090 1490 690 880 1480 2130 1080 1480 680 870 1470 2110 1070 1460 670 860 1460 2090 1060 1450 660 850 1450 2080 1050 1430 650 840 1440 2060 1040 1420 640 830 1430 2040 1030 1400 630 820 1420 2020 1020 1390 620 810 1410 2000 1010 1370 610 800 1400 1990 1000 1360 600 790 1390 1970 990 1340 590 780 1380 1950 980 1330 580 770 1370 1930 970 1310 570 760 1360 1920 960 1300 560 750 1350 1900 950 1280 550 740 1340 1880 940 1270 540 730 1330 1870 930 1250 530 730 1320 1850 920 1240 520 720 1310 1840 910 1220 510 710 1300 1820 900 1210 500 700 1290 1810 890 1200 490 690 1280 1790 880 1180 480 680 1270 1780 870 1170 470 670 1260 1760 860 1150 460 660 1250 1750 850 1140 450 650 1240 1730 840 1120 440 640 1230 1710 830 1110 430 630 1220 1700 820 1090 420 620 1210 1680 810 1070 410 610 400 600 What Does the Conversion Chart Say About the New SAT? The official conversion tables show that the new SAT has higher scores than expected across the entire score range. For a full explanation, read our guide on the new SAT scoring advantage. That said, I'll summarize the main points below. Without the College Board's concordance table, you might imagine that you could just multiply the old SAT score by 2/3 to get your new SAT score. For example, 2400 * 2/3 = 1600. Or, 1800 * 2/3 = 1200. In fact, new SAT scores are much higher than this simple formula would predict. An 1800 on the old SAT actually translates to 1280- that's 80 points higher than 1200. Likewise, a 1500 on the old SAT translates to 1100, or 100 points higher than 1000. This also reflects section by section. A 700 on the old SAT Math section is equivalent to a 730 on the new SAT Math section, while a 500 on the old SAT is equivalent to a 530 on the new SAT. What this means is that for the same performance on Math, you get a higher score on the new SAT than you would have on the old SAT. So what does this mean for you? Some people worry that this means grade inflation is happening, and that scores are creeping up. But I'm not personally worried about it, and you don't need to be either. The College Board will always grade the SAT in such a way that top students can be distinguished from average students, and average students from below-average students. What really matters is your score percentile, and the score that colleges believe is good. If everyone's SAT score goes up, then colleges will require higher scores for admission as well. This doesn't mean anything about how hard it is to get that score- the difficulty is likely going to stay similar. For now, just focus on studying for the SAT and getting the highest score possible! What’s Next? Curious about how the new SAT scoring system benefits you? Read our comprehensive guide to the new SAT scoring advantage to learn how the current version of the SAT gives you optically higher scores over a range of scores. Want to get a perfect SAT score? Then check out our guide on getting a 1600 SAT score, written by a perfect SAT scorer. What's a good SAT score for you? The answer to this question depends on your goals. Learn how to calculate a great SAT target score in our in-depth guide. Disappointed with your scores? Want to improve your SAT score by 160 points? We've written a guide about the top 5 strategies you must be using to have a shot at improving your score. Download it for free now: