# How do I perform exploratory data analysis on 6 variables

Part A. SPSS Assignment
The “Activity 7.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:

Exploratory Data
Analysis.

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.
Give
a one to two paragraph write up of the data once you have done this.
Create
an APA style table that presents descriptive statistics for the sample.

Factorial ANOVA. Perform
a factorial ANOVA using the “Activity 7a.sav” data set.

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).
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).
Is
there an interaction between your two variables? If so, using post hoc
tests, describe these differences.
Is
there support for the researcher’s hypothesis that girls would do better
Write
up the results in APA style and interpret them. Be sure that you discuss
both main effects and the presence/absence of an interaction between the
two.

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