1. The degrees of freedom for the sum of squares within for one-way ANOVA equal

Question

1. The degrees of freedom for the sum of squares within for one-way ANOVA equal the total number of observations minus one.

2. The degrees of freedom for the sum of squares between for one-way ANOVA equal the number of populations being compared minus one. T/F

3. Two-way ANOVA incorporates a blocking factor to account for variation outside of the main factor in the hopes of increasing the likelihood of detecting a variation due to the main factor.

4. ANOVA provides a lower probability of a Type I error when compared to multiple t-tests when comparing three or more population means.

5. When calculating the degrees of freedom for a hypothesis test comparing two population means with population variances that are unknown and assumed to be unequal, always round up the degrees of freedom to the next highest integer. This makes it more challenging to reject the null hypothesis which is a more conservative approach.

6. The approximate standard error of the difference between population proportions uses the sample proportions to estimate the values of the population proportions when determining the standard deviation.

Explanation / Answer

1) degrees of freedom for the sum of squares within for one-way ANOVA equal the total number of observations minus one --False

2)

degrees of freedom for the sum of squares between for one-way ANOVA equal the number of populations being compared minus one. T/F --true

3)

True

4)

False

5)

false

6)

true

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