Fear of Gangs. In the article "Growing Pains and Fear of Gangs" (Applied Psychology in Criminal Justice, Vol. 5, No. 2, pp. 139-164), B. Brown and W. Benedict examined the relationship between worry about a gang attack and actually being a victim of a gang attack. Interviews of a sample of high school students yielded the following contingency table.

Short Answer

Expert verified

The data provide sufficient evidence to conclude that an association exists between worry about a gang attack and actually being a victim of a gang attack at the 1% significance level.

Step by step solution

01

Step 1. Given information

02

Step 2. 

Check whether or not the data provide sufficient evidence to conclude that an association exists between worry about a gang attack and actually being a victim of a gang attack.

Step 1:

The test hypotheses are given below:

Null hypothesis:

H0 : There is no association exists between worry about a gang attack and actually being a victim of a gang attack.

Alternative hypothesis:

H1 : There is an association exists between worry about a gang attack and actually being a victim of a gang attack.

Step 2: Decide the level of significance.

Here, the level of significance is, 1%

Step 3:

Find the expected frequency and test statistic.

MINITAB procedure:

Step 1: Choose Stat > Tables > Chi-Square test for association.

Step 2: In Columns containing the table, enter the column of Yes and No.

Step 3: In Rows, select Victim.

Step 4: Under Statistics, select Chi-square test, Display counts in each cell, Display marginal counts and expected cell counts.

Step 5: Click OK.

Now,

Minitab output

Pearson Chi-Square =23.455,DF=1,p-Value=0.000

Likelihood Ratio Chi-Square=19.841, DF=1, p-Value =0.000

From the MINITAB output, the value of the chi-square statistic is 23.455.

Step 4:

Find the p-value.

From the MINITAB output, the p-value is 0.000

Step 5:

Rejection rule:

If , then reject the null hypothesis.

Here, the P-value is lesser than the level of significance.

That is, P-value (=0.000)<alpha(=0.01).

Therefore, the null hypothesis is rejected at 1 % level.

Thus, the results are statistically significant at 1% level of significance.

The data provide sufficient evidence to conclude that an association exists between worry about a gang attack and actually being a victim of a gang attack at the 1% significance level.

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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: 0.2,0.1,0.1,0.3,0.3

Observed frequencies: 29,13,5,25,28

Significance level =0.10

Job Satisfaction. A CNN/USA TODAY poll conducted by Gallul asked a sample of employed Americans the following question: "Which do you enjoy more, the hours when you are on your job, or the hours when you are not on your job?" The responses to this question were cross-tabulated against several characteristics, among which were gender, age, type of community, educational attainment, income, and type of employer. The data are provided on the WeissStats site. In each of Exercises 12.87-12.92, use the technology of your choice to decide, at the 5% significance level, whether an association exists between the specified pair of variables.

Gender and response

Are the observed frequencies variables? What about the expected frequencies? Explain your answers.

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 m⋅n.

12.69 four and five

Suppose that you have bivariate data for an entire population.

a. How would you decide whether an association exists between the two variables under consideration?

b. Assuming that you make no calculation mistakes, could your conclusion be in error? Explain your answer.

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