Look at the MS Excel file (titled “Easy_Tough”) available in the Blackboard. This file carries data about average MathSAT scores of 297 colleges and universities located in the USA and they are all classified into two groups of colleges and universities. One group of institutions are tough to graduate for students and another group of institutions are easy to graduate for students. Using MS Excel, perform analysis of variance test to examine whether the mean MathSAT score between these two groups are same or not. this is the data on excel
Look at the MS Excel file (titled “Easy_Tough”) available in the Blackboard. This file carries data about average MathSAT scores of 297 colleges and universities located in the USA and they are all classified into two groups of colleges and universities. One group of institutions are tough to graduate for students and another group of institutions are easy to graduate for students. Using MS Excel, perform analysis of variance test to examine whether the mean MathSAT score between these two groups are same or not. this is the data on excel
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Look at the MS Excel file (titled “Easy_Tough”) available in the Blackboard. This file carries data about average MathSAT scores of 297 colleges and universities located in the USA and they are all classified into two groups of colleges and universities. One group of institutions are tough to graduate for students and another group of institutions are easy to graduate for students. Using MS Excel, perform analysis of variance test to examine whether the
this is the data on excel
Easy to graduate colleges | Tough to graduate colleges |
547 | 495 |
550 | 526 |
451 | 480 |
470 | 533 |
617 | 429 |
554 | 529 |
524 | 568 |
620 | 550 |
650 | 535 |
519 | 506 |
486 | 540 |
494 | 509 |
513 | 459 |
615 | 526 |
524 | 377 |
525 | 543 |
608 | 490 |
537 | 513 |
550 | 466 |
520 | 544 |
540 | 502 |
497 | 480 |
520 | 531 |
533 | 470 |
455 | 400 |
525 | 494 |
603 | 395 |
578 | 445 |
459 | 460 |
525 | 372 |
575 | 504 |
564 | 480 |
509 | 520 |
530 | 542 |
670 | 522 |
590 | 440 |
590 | 510 |
532 | 419 |
585 | 330 |
514 | 457 |
592 | 436 |
485 | 433 |
660 | 426 |
470 | 433 |
408 | 440 |
505 | 455 |
557 | 486 |
650 | 399 |
538 | 508 |
515 | 488 |
536 | 436 |
515 | 393 |
560 | 439 |
560 | |
642 | |
557 | |
524 | |
617 | |
570 | |
470 | |
528 | |
462 | |
544 | |
570 | |
532 | |
541 | |
508 | |
422 | |
538 | |
579 | |
515 | |
575 | |
450 | |
564 | |
550 | |
540 | |
685 | |
600 | |
742 | |
571 | |
550 | |
660 | |
610 | |
550 | |
498 | |
526 | |
469 | |
530 | |
575 | |
555 | |
435 | |
520 | |
550 | |
482 | |
570 | |
444 | |
650 | |
687 | |
530 | |
482 | |
432 | |
514 | |
508 | |
442 | |
480 | |
392 | |
623 | |
496 | |
524 | |
540 | |
535 | |
515 | |
472 | |
570 | |
560 | |
535 | |
525 | |
438 | |
529 | |
524 | |
480 | |
516 | |
500 | |
593 | |
479 | |
490 | |
623 | |
578 | |
434 | |
577 | |
521 | |
556 | |
632 | |
537 | |
679 | |
481 | |
479 | |
518 | |
502 | |
555 | |
444 | |
680 | |
530 | |
680 | |
537 | |
429 | |
466 | |
580 | |
530 | |
485 | |
505 | |
601 | |
640 | |
480 | |
470 | |
498 | |
593 | |
560 | |
485 | |
502 | |
525 | |
600 | |
575 | |
557 | |
614 | |
443 | |
465 | |
444 | |
551 | |
571 | |
537 | |
482 | |
470 | |
460 | |
584 | |
578 | |
594 | |
499 | |
457 | |
536 | |
463 | |
487 | |
600 | |
529 | |
545 | |
594 | |
552 | |
580 | |
524 | |
536 | |
529 | |
537 | |
583 | |
515 | |
640 | |
553 | |
740 | |
570 | |
549 | |
549 | |
480 | |
489 | |
506 | |
413 | |
596 | |
538 | |
520 | |
509 | |
435 | |
630 | |
572 | |
640 | |
460 | |
483 | |
692 | |
424 | |
490 | |
603 | |
474 | |
494 | |
708 | |
496 | |
428 | |
612 | |
680 | |
620 | |
524 | |
517 | |
560 | |
573 | |
497 | |
527 | |
546 | |
558 | |
504 | |
540 | |
470 | |
490 | |
561 | |
599 | |
517 | |
515 | |
408 | |
455 |
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