Chapter 12, 13 EXAM Questions

In one-way ANOVA, as the between-treatment variation decreases, the probability of rejecting the null hypothesis increases.

False

The chi-square distribution is a continuous probability distribution that is skewed to the left.

False

The error sum of squares measures the between-treatment variability

False

When we carry out a chi-square test of independence, in the alternative hypothesis we state that the two classifications are statistically independent.

False

When we carry out a chi-square test of independence, the chi-square statistic is based on degrees of freedom, where r and c denote, respectively, the number of rows and columns in the contingency table.

False

Which of the following is not an assumption for one-way analysis of variance?

The number of sampled observations must be equal for all p treatments

A one-way analysis of variance is a method that allows us to estimate and compare the effects of several treatments on a response variable.

True

If the factors being studied cannot be controlled, the data are said to be observational.

True

In performing a chi-square goodness-of-fit test with multinomial probabilities, the smaller the difference between observed and expected frequencies, the higher the probability of concluding that the probabilities specified in the null hypothesis are favored over the alternative hypothesis.

True

In the ANOVA, treatments refer to

different levels of a factor.

As the difference between observed frequency and expected frequency ________, the probability of rejecting the null hypothesis increases.

increases

If there are three or more populations, then it is

possible to test for equality of three or more population proportions.

The required condition for using an ANOVA procedure on data from several populations is that the

selected samples are dependent on each other.

In performing a chi-square test of independence, as the differences between respective observed and expected frequencies ________, the probability of concluding that the row variable is independent of the column variable increases.

stay the same

In the analysis of variance procedure (ANOVA), "factor" refers to

the independent variable.

The ANOVA procedure is a statistical approach for determining whether or not the means of

three or more populations are equal.