HW4.sav [DataSet1] - IBM SPSS Statistics Data Editor Data Transform Analyze Graphs Utilities Help File Edit Extensions Window + Q Name Type Width Decimals Label Values Missing Columns Align Measure Role Numeric 2 None None 8 Right Scale Input math english Numeric 2 None None 18 Right Scale Input W N - class Numeric 2 (1.00, morni... None 8 Right Nominal Input Nominal Input training Numeric 2 [.00, no}. None Right 8 Nominal Input sex Numeric 2 {.00, males)... None Right 11 Right Scale \\ Input motivation Numeric 2 None None 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Data View Variable View#@ HW4.sav [DataSet1] - IBM SPSS Statistics Data Editor ile Edit View Data Transform Analyze Graphs Utilities Extensions Window f math f english &) class & training & sex f motivation 1 56.00 69.00 morning no females 2.00 2 79.00 89.00 morning no males 4.00 3 68.00 81.00 morning no males 5.00 4 79.00 71.00 morning yes females 3.00 5 64.00 75.00 morning yes males 3.00 6 74.00 86.00 morning yes females 4.00 T 73.00 6.00 morning yes females 8.00 8 67.00 69.00 morning no males 400 9 78.00 100.00 morning no males .00 10 61.00 35.00 morning no females 7.00 1 68.00 93.00 morning yes males 8.00 12 61.00 97.00 evening no males 6.00 13 57.00 89.00 evening no females 400 14 49.00 3.00 evening no females 3.00 15 71.00 52.00 evening yes females 10.00 16 61.00 84.00 evening yes males 5.00 17 58.00 46.00 evening yes females 2.00 18 68.00 92.00 evening yes females 2.00 19 64.00 86.00 morning no males 1.00 20 82.00 77.00 morning no males 10.00 21 77.00 67.00 evening no males 8.00 22 69.00 35.00 morning yes females 7.00 23 77.00 79.00 evening no males 9.00 24 88.00 97.00 morning yes males 9.00 25 85.00 6500 morning yes males 9.00 26 64.00 97.00 morning no females 6.00 27 98.00 83.00 morning no males 10.00 28 87.00 75.00 morning no males 7.00 29 84.00 86.00 morning no females 5.00 Data View Variable View #@ HW4.sav [DataSet1] - IBM SPSS Statistics Data Editor ile Edit View Data Transform Analyze Graphs Utilities Extensions Window mEe DexFLZEB A BF f math f english &) class & training &) sex f motivation 30 91.00 67.00 morning yes males 10.00 31 47.00 67.00 evening yes females 8.00 32 69.00 35.00 evening no females 5.00 33 47.00 79.00 morning no males 4.00 34 78.00 100.00 morning no males 8.00 3 1.00 85.00 evening no females 7.00 36 68.00 93.00 evening no females 8.00 37 64.00 87.00 morning yes females 5.00 38 53.00 76.00 morning yes males 2.00 39 71.00 95.00 evening yes males 8.00 40 61.00 97.00 evening yes males 8.00 41 37.00 89.00 evening yes females 4.00 42 439.00 87.00 evening no females 3.00 43 71.00 100.00 evening yes females 10.00 44 61.00 94.00 evening yes males 5.00 45 77.00 79.00 morning no females 3.00 46 88.00 87.00 morning no males 9.00 47 85.00 65.00 morning yes males 9.00 43 64.00 93.00 morning no females 5.00 49 50 51 52 53 54 55 56 57 58 s Data View Variable View For problems #1-6, use the HW4.sav dataset which shows student scores in Math and English depending on student's class time, additional training received, and sex. #1. (4 points) Only for students who took the morning class: a) construct a histogram for Math scores, include the normal curve; b) construct a bar chart with percentages for English scores. #2. (8 points) Only for students who did not receive training, find the means for Math and English scores, separately for those taking a morning vs. evening class. Report 4 means (Math/morning, Math/evening, English/morning, English/evening). #3. (10 points) Find: a) out of all the students, the percent of those who received training; b) out of male students, the percent of those who were in the morning class and received training; c) out of female students, the percent of those who were in the evening class and did not receive training. Report 3 numbers. #4. (8 points) For the Math scores, find the means and standard deviations for z-scores for males and females. For the English scores, find the means and standard deviations for z-scores for males and females. Report all results in APA style. #5. (5 points) Construct a scatterplot to examine the relation between MATH (y-axis), MOTIVATION (x-axis), and class time. #6. (5 points) Construct a clustered bar graph representing the relation between Math scores (dependent variable), sex (independent variable), and class time (grouping variable). For problems #7-8, report: a) hypothesis; b) independent variable(s); c) dependent variable(s); d) nature of each variable (categorical vs. quantitative). #7. (5 points) Janet is interested in determining if adolescents who do not engage in sports are more depressed than those who do engage in sports. To test this hypothesis, she evaluates 60 adolescents on Kansas University Depression Inventory (KUDI). The KUDI is a depression measure that was standardized to have a range of scores from O to 100. #8. (5 points) Mike is interested in assessing whether there is a difference between how much male versus female college students argue with a professor regarding an exam grade. Mike obtains the permission of a professor to observe the class the day graded midterm exams are returned. In the class, there are 20 female and 20 male students. Mike records any occurrences of students complaining about some aspect of the midterm exam grade