Stats 2 Test 2 Concepts

The sampling distribution of p1-p2 is approximated by a A) normal distribution. B) t distribution with n1 + n2 degrees of freedom. C) t distribution with n1 + n2 - 1 degrees of freedom. D) p1-p2 distribution.

A

To compute an interval estimate for the difference between the means of two populations, the t distribution A) is restricted to small sample situations. B) is not restricted to small sample situations. C) can be applied when the populations have equal means. D) can be applied only when the populations have equal standard deviations.

B

All of the tests in Chapter 12 apply to which type of variables A) The Normal Distribution B) Quantitative variables C) Categorical variables D) The Chi-Square Distribution

C

If two independent large samples are taken from two populations, the sampling distribution of the difference between the two sample means A) can be approximated by any distribution. B) will have a variance of one C) can be approximated by a normal distribution. D) will have a mean of one.

C

If we are interested in testing whether the proportion of items in population 1 is larger than the proportion of items in population 2, the A) null hypothesis should state p1 - p2 < 0 B) null hypothesis should state p1 - p2 > 0 C) alternative hypothesis should state p1 - p2 > 0 D) alternative hypothesis should state p1 - p2 < 0.

C

The standard error of x1-x2 is the A) pooled estimator of x1-x2 B) variance of the sampling distribution of x1-x2 C)standard deviation of the sampling distribution of x1-x2 D) margin of error of x1-x2

C

When developing an interval estimate for the difference between two population means with sample sizes of n1 and n2, A) n1 must be equal to n2. B) n1 must be smaller than n2. C) n1 must be larger than n2. D) n1 and n2 can be of different sizes.

D

The null hypothesis for a goodness of fit test is that the population does not follow the distribution that we are testing against. True or False

False

When testing the equality of population proportions for three or more populations, if we reject the null hypothesis then we can conclude that none of the population proportions are equal to each other. True or False

False

The expected values for the chi-squared test for independence and equality of proportions are calculated by taking the (row total)x(column total)/Total Sample Size True or False

True

When conducting a test of independence, the null hypothesis for this test is that the two categorical variables are independent. True or False

True

When using the multiple comparison procedure mentioned in Chapter 12, we can conclude that two proportions differ significantly if the absolute value of the differences between the proportions is greater than the calculated critical value for the comparison. True or False

True