The analysis of variance differs from the ttest for two independent samples because:

1
Review Questions Oneway ANOVA

• The analysis of variance differs from the t-test
  for two independent samples because
• the t-test is limited to two samples
• the analysis of variance can handle multiple
  samples
• they test different hypotheses about the data
• both a and b
• The F ratio is the ratio of
• between group variance over within group variance
• total variance over within group variance
• within group variance over total variance
• within group variance over total variance
• If the null hypothesis is true, we would expect F
  to be
• approximately 0
• somewhere around 1
• at least 10
• the value of F is not dependent on the status of
  the null hypothesis.
• Mean squares are closest to

2
Review Questions Oneway ANOVA
   

• What are the null and alternative hypotheses?
• What is the value of SSgroup?
• What are the df for group? Why?
• Do we reject the null?