Question 1:

Which of the following Python methods is used to perform an unpaired t-test for the difference in two population means? Select one.

Question 1 options:

a) ttest_ind from scipy module

b) proportions_ztest from statsmodels module

c) paired_ttest from scipy module

Question 2:

The null and alternative hypotheses for a hypothesis test of the difference in two population means are:

Null Hypothesis:

Alternative Hypothesis:

Notice that the alternative hypothesis is a two-tailed test. Suppose ttest_ind method from scipy module is used to perform the test and the output is (-1.99, 0.0512). What is the P-value for this hypothesis test? Select one.

Question 2 options:

a) 0.0512

b) 1.99

c) -1.99

d) 0.0256

Question 3:

Which of the following Python methods is used to perform a hypothesis test for the difference in two population proportions? Select one.

Question 3 options:

a) proportions_ztest from statsmodels module

b) prop_1samp_hypothesistest from pandas module

c) prop_1samp_ztest from numpy module

d) prop_hypothesis_test from statsmodels module

Question 4:

The null and alternative hypotheses for a hypothesis test of the difference in two population means are:

Null Hypothesis:

Alternative Hypothesis:

Notice that the alternative hypothesis is a one-tailed test. Suppose ttest_ind method from scipy module is used to perform the test and the output is (3.25, 0.0043). What is the P-value for this hypothesis test? Select one.

Question 4 options:

a) 3.25

b) 0.00215

c) 0.0043

d) -3.25

Question 5:

What are the inputs to ttest_ind method in the scipy module? Select one.

Question 5 options:

a) z-score and the corresponding P-value

b) dataframes of values from each sample and optional equal variance indicator

c) null and alternative hypothesis values

d) test statistic and the P-value