The question below is for a data project that I am doing. I have the necessary data to complete the project however I'm confused on what I need to actually be doing to answer the question. What information from the chart below should I be inputting in SPSS to complete the t-test. I don't understand the question.

Which teacher should stay and which should go?

Use the rosters below for the 9^thgrade teachers of the current sophomores.Based on the average gain scores of the students (difference between the actual and predicted 9^thgrade scores), did the teachers' students score significantly different?If so, which teacher's students outperformed the other?

Complete the template for at-test for Step 1.

*3 Data Pro Insert Draw Page Layout Data Review View Acrobat Home Formulas Arial 10 A- A = = Wrap Text . Gener A Merge & Center $ B I UT = EE Paste 539 x v fx F G H J K L A B C D E Last First 6th grade 7th grade 8th grade 9th grade Pred 9th Difference Teacher Ables Viviana 738 710 754 759 763.086 -4.086 2 Kevin 710 724 733.407 9.407 Alvarez 687 727 738 -5.942 4 Baity Catherine 697 729 743 743.942 5 Bates Victoria 728 780 778 759 770.692 -11.692 6 Birg Kyrstyna 719 772 754 754 757.74 -3.74 7 Boyd Freeman 620 652 662 695 681.248 13.752 Jerry 687 692 715 742 728.217 13.783 B Branscomb 9 Brown Julie 646 688 687 711 701.793 9.207 10 Cantu Jennifer 674 688 699 716.989 1.011 718 716.905 .095 11 Chandler Asma 676 686 697 INNNNN 654 712 722 728 719.112 8.868 12 Chang Mary Heather 706 700 738 735.593 13 Coles 715 2.407 14 Crabtree India 626 607 636 678 672.085 5.915 15 Dalton Ashleigh 676 718 713 724.057 21.943 16 Dison Jami 697 729 727 754 737.718 16.282 17 Harrell Matthew 642 692 674 698 695.348 2.652 3.585 NNNNNN-ZI 18 Harris Jessica 689 696 685 721 717.415 Shannon 639 654 676 671 693.896 -22.896 19 Huang 685 -12.633 20 Hutchinson Ashley 624 642 701 697.633 21 Juells Madison 637 670 703 682 704.111 -22.111 1 710.265 3.735 22 Kelly Valerie 650 660 707 4 717.683 23 Lopez Joshua 676 686 699 6.317 24 Mosteller Chan 664 674 711 721 717.491 3.509 25 Nolte 700 723 734 735 741.395 6.395 Natalie 26 Oconnor Devin 728 753 742 746 755.905 9.905 27 Olberding Maxwell 682 733 743 742 738.418 3.582 28 Perry Jon 644 662 670 663 693.674 -30.674 29 Shaw Mercedes 618 644 670 692 683.376 8.624 30 Shin Tianna 626 652 685 692.451 7.451 Jasmine 642 674 682 692 31 Sikes 697.938 5.938 N 670 3.805 Roman 735 32 Soliman 720 737 731.195 Sharee' 676 705 734 746 731.849 14.151 33 Thomas Benjamin 624 698 695.367 6.633 34 Townsend 691 702 Daren 676 707 722 731 727.239 3.761 35 Whitt 654 718 -22.893 36 Wilson Rick 685 682 704.893 7.754 37 Wright John 624 646 674 695 687.246