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# Analyze Anova for Test Scores

Not sure how to set this up, or how to calculate Anova analysis.
The team wants to investigate whether or not test scores are significantly related to
to different teaching styles including
a) lecture style,
b) group learning,
c) self directed and
d) distance learning.

1. Use the data provided to conduct a one-way analysis of variance of the data.
2. Determine whether or not teaching style has an impact on student test scores at the 5% significance level.
Areas to calculate: ANOVA Analysis Of Variance
Correction for the Mean
df degrees of freedom
F F statistic used to compare with the F-table value ('critical value')
MS Mean Square
SS Sum of Squares

So what must be found is:
What is the SUM of SQUARES (SS) for FACTOR?
What is the SUM of SQUARES (SS) for ERROR?
What is the SUM of SQUARES (SS) TOTAL?
What is the Degrees of Freedom (Df) for FACTOR?
What is the Degrees of Freedom (Df) for the ERROR term?
What is the Degrees of Freedom (Df) TOTAL?
What is the MEAN SQUARED (MS) for FACTOR?
What is the MEAN SQUARED (MS) for the ERROR term?
What is the F Calculated value?
What is F Critical value (from the table)?

#### Solution Summary

The solution analyzes ANOVA for test scores to examine different teaching styles.

\$2.19