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Consider the variables "gender" and "class level."

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

Part (b): Determine the conditional distribution of gender within each class level and the marginal distribution of gender.

Part (c): Determine the conditional distribution of class level within each gender and the marginal distribution of class level.

Part (d): Does an association exist between the variables "gender" and "class level" for this population? Explain your answer.

Short Answer

Expert verified

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

Part (b): The distribution is given below, where the last given row shows the marginal distribution of the variable gender,

Part (c): The distribution is given below, where the last column shows the required marginal distribution,

Part (d): Yes. If there was no association then the conditional distribution of class levels within the genders male and female would be identical, but this is not the case.

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 "gender" and "class level" into a contingency table is given below,

03

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

The table given below is of required conditional and marginal distribution,

The last given row shows the marginal distribution of the variable gender.

04

Part (c) Step 1. Determine the conditional distribution of class level.

The table given below is of required conditional and marginal distribution,

The column headed "F", shows the distribution of class level within females. Similarly, the column "M" shows the distribution within males.

Hence, the last column shows the required marginal distribution.

05

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

Yes, an association exist between the variables "gender" and "class level" for this population.

If there was no association then the conditional distribution of class levels within the genders male and female would be identical, but this is not the case.

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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

A chi-square homogeneity test is to be conducted to decide whether a difference exists among the distributions of a variable of six populations. The variable has five possible values. What are the degrees of freedom for the x2-statistic?

To decide whether two variables of a population are associated, we usually need to resort to inferential methods such as the chi-square independence test. Why?

In each of the given Exercises, we have presented a contingency table that gives a cross-classification of a random sample of values for two variables, x, and y, of a population. For each exercise, perform the following tasks.

a. Find the expected frequencies. Note: You will first need to compute the row totals, column totals, and grand total.

b. Determine the value of the chi-square statistic.

c. Decide at the 5% significance level whether the data provide sufficient evidence to conclude that the two variables are associated.

Suppose that bivariate data are to be grouped into a contingency table. Determine the number of cells that the contingency table will have if the numbers of possible values for the two variables are

a. two and three.
b. four and three.
c. m and n.
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