PRACTICAL Week 2 – Data preparation


1.      Open dataset students.sav

2.      Generate a histogram for student weight

a.       Add a normal curve

3.      Generate descriptive statistics for student height (M, SD, min, max, median, variance)

4.      Generate a boxplot for student height

a.       Are there any outliers?

5.      Now generate a boxplot for student weight by gender

a.       Which gender’s median is higher? Which gender has more variance?

6.      Create a scatterplot for height and weight

a.       Add a regression line

7.      Do we see a relationship?

8.      Compute Mahalanobis distance for the variables sleep hours and weight

a.       How many cases have a significant value for Mahalanobis distance at p <.001?


Submit your practical:

1. Save your dataset, output, and syntax with your initials as extension, e.g., E0420
practical_week 2_GK

2. Submit all files to Homework Vaults