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Part (a): Group the bivariate data for these two variables into a contingency table.

Part (b): Determine the conditional distribution of class level within each political party affiliation.

Part (c): Are the variables "political party affiliation" and "class level" for this population of night school students associated? Explain your answer.

Part (d): Without doing further calculation, determine the marginal distribution of class level.

Part (e): Without doing further calculation, respond true or false to the following statement and explain your answer: "The conditional distributions of political party affiliations class levels are identical to each other and to the marginal distribution of political party affiliations".

Short Answer

Expert verified

Part (a): The contingency table is given below,

Part (b): The conditional distribution is given below,

Part (c): No, because the conditional distribution of class level for all values of "party affiliation" are identical.

Part (d): The marginal distribution of class level is fresh 0.1, junior 0.4, senior 0.2and sophomore 0.3.

Part (e): True, as the two variables "political party affiliation" and "class level" are not associated as the table in part (b) shows.

Step by step solution

01

Part (a) Step 1. Given information,

Consider the given question,

02

Part (a) Step 2. Write the contingency table.

On grouping the bivariate data for the two variables "political party affiliation" and "class level" into a contingency table is given below,

03

Part (b) Step 1. Determine the conditional distribution of gender.

The table of required conditional distribution within each political part affiliation is given below,

04

Part (c) Step 1. Explain if an association exist.

No, there is no association between the two variables "political party affiliation" and "class level" for this population of night school students.

As the conditional distribution of class level for all values of "party affiliation" are identical.

05

Part (d) Step 1. Determine the marginal distribution.

Without any calculation, the marginal distribution of class level is given below,

As there is no association between the two given variables.

06

Part (e) Step 1. Explain if the statement is true or false.

The statement is true.

Because the two variables "political party affiliation" and "class level" are not associated as the table in part (b) shows.

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Most popular questions from this chapter

In each of Exercises 12.18-12.23, we have provided a distribution and the observed frequencies of the values of a variable from a simple random sample of a population. In each case, use the chi-square goodness-of-fit test to decide, at the specified significance level, whether the distribution of the variable differs from the given distribution.

Distribution: 0.2, 0.4, 0.3, 0.1

Observed frequencies: 39, 78, 64, 19

Significance level = 0.05

In each of exeercises 12.57-12.59, use the technology of your choice to solve the specified problems.

The U.S. Congress, Joint Committee on Printing. provides information on the composition of Congress in Congressional Directory. On the WeissStats CD, we present data on party and class for the senators in the 113th Congress.
a. Group the bivariate data for these two variables into a contingency table.
a. Group the bivariate data for these two variables into a contingency table.
b. Determine the conditional distribution of party within each class and the marginal distribution of party.
c. Determine the conditional distribution of class within each party and the marginal distribution of class.
d. Are the variables "party" and "class" for U.S. senators in the 111th Congress associated? Explain your answer.

For what purpose is a chi-square homogeneity test used?

In each of the given Exercises, we have given the number of possible values for two variables of a population. For each exercise, determine the maximum number of expected frequencies that can be less than 5 in order that Assumption 2 of Procedure 12.2 on page 506 to be satisfied. Note: The number of cells for a contingency table with m rows and n columns is mโ‹…n.

12.73 two and two

What is meant by saying that a variable has a chi-square distribution?

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