HI, statistics is so difficult for me! I need help with an assignment for statistics II at NCU. The following assignment is due this Sunday, 6/25/2018, by midnight.

Part A. SPSS Assignment

The "Activity 9.sav" file contains a dataset of a researcher interested in finding the best way to educate elementary age children in mathematics. In particular, she thinks that 5th grade girls do better in small class sizes while boys excel in larger classes. Through the school district, she has arranged a pilot program in which some classroom sizes are reduced prior to the state-wide mathematics competency assessment. In the dataset, you will find the following variables:

Participant: unique identifier

Gender: Male (M) or Female (F)

Classroom:

Small (1) - no more than 10 children

Medium (2) - between 11 and 19 children

Large (3) - 20 or more students

Score - final score on the statewide competency assessment.

Now do the following:

1. Exploratory Data Analysis.
3. Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.
5. Give a one to two paragraph write up of the data once you have done this.
7. Factorial ANOVA. Perform a factorial ANOVA using the "Activity 9.sav" data set.
9. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
11. Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
13. Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.
15. Is there support for the researcher's hypothesis that girls would do better than boys in classrooms with fewer students? Explain your answer.
17. interpret the results. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.

Part B. Applying Analytical Strategies to an Area of Research Interest

1. Briefly restate your research area of interest.
2. Analysis of Covariance. Using your area of interest, identify one independent and two dependent variables, such that the dependent variables would likely be covariates. Now, assume you conducted an ANCOVA that shows both the first independent variable as well as the covariate significantly predicts the dependent variable. Report your mock findings.

The data set is as follows::

Participant Gender Classroom Math_Score

1 M 1 93.00

2 M 1 96.00

3 M 1 92.00

4 M 1 95.00

5 M 1 89.00

6 M 1 87.00

7 M 1 93.00

8 M 1 99.00

9 M 1 92.00

10 M 1 91.00

11 M 2 90.00

12 M 2 86.00

13 M 2 87.00

14 M 2 92.00

15 M 2 90.00

16 M 2 93.00

17 M 2 87.00

18 M 2 92.00

19 M 2 91.00

20 M 2 89.00

21 M 3 90.00

22 M 3 91.00

23 M 3 98.00

24 M 3 93.00

25 M 3 94.00

26 M 3 92.00

27 M 3 90.00

28 M 3 89.00

29 M 3 88.00

30 M 3 87.00

31 F 1 95.00

32 F 1 98.00

33 F 1 92.00

34 F 1 90.00

35 F 1 88.00

36 F 1 89.00

37 F 1 98.00

38 F 1 93.00

39 F 1 97.00

40 F 1 98.00

41 F 2 89.00

42 F 2 92.00

43 F 2 92.00

44 F 2 95.00

45 F 2 85.00

46 F 2 82.00

47 F 2 85.00

48 F 2 86.00

49 F 2 90.00

50 F 2 89.00

51 F 3 76.00

52 F 3 72.00

53 F 3 79.00

54 F 3 81.00

55 F 3 82.00

56 F 3 79.00

57 F 3 74.00

58 F 3 82.00

59 F 3 86.00

60 F 3 81.00