Differences between the Pre BMI and different education level.

Running head: STATISTICS
Statistics
Name of the Student:
Name of the University:
Author note:

STATISTICS
1
Table of Contents
Answer to the question 1............................................................................................................2
Answer to the question 2............................................................................................................3
Answer to the question 3............................................................................................................5
Answer to the question 4............................................................................................................6
Answer to the question 5............................................................................................................8
Answer to the question 6............................................................................................................9
Bibliography.............................................................................................................................11

STATISTICS
2
Answer to the question 1
To test the differences between Pre BMI and education level the one way ANOVA
test is applied. In this problem there is one quantitative dependent variable and one
categorical nominal variable. Hence the one way ANOVA test has been applied. In this
problem Pre BMI is quantitative and education level is categorical variable.
Null hypothesis: There is no differences between the Pre BMI and different education level.
Alternative hypothesis: There is a differences between the Pre BMI and different education
level.
Table 1 ANOVA test output
Test statistic is 10.40
P- Value or critical value is 0.000
Alpha is 0.05, at 5% significance level.
It is clear from this test that the P-Value is lesser than the alpha (at 5%). Thus the null
hypothesis of this test is rejected and the alternative hypothesis is accepted. Therefore it may
be summarised that the there is a differences between the Pre BMI and different education
level.

STATISTICS
3
It has been seen that the ANOVA test is significant therefore the post hoc test has
been conducted.
Table 2 Post Hoc Analysis
The Post hoc test clear that the P-Value is smaller than the alpha (at 5%). Thus the
null hypothesis of this test is rejected and at the same time the alternative hypothesis is
accepted. Hence it may be concluded that the there is a differences between the Pre BMI and
different education level.
Answer to the question 2
To test the difference between education level and weights, systolic blood pressure
and pulse one way MANOVA test has been applied. In this problem there are more than one
quantitative dependent variable and one categorical nominal variable. The categorical and
nominal variable is education level. The quantitative variables are weight, systolic blood
pressure and the pulse.
Null hypothesis: There is no differences between the weight, systolic blood pressure and the
pulse and different education level.