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In each of Exercises 12.11-12.16, we have given the relative frequencies for the null hypothesis of a chi-square goodness-of-fir text and the sample size. In each case, decide whether Assumptions 1 and 2 for using that text are satisfied.

Sample size : n= 50.

Relative frequencies: 0.22 , 0.21 , 0.25 , 0.30 , 0.02.

Short Answer

Expert verified

In assumption 1 , All the expected frequencies are 1.

In assumption 2 ,

Number of expected frequencies less than 5 = 0

Percentage of expected frequencies less than 5 = 15×100=20

Both the assumptions are satisfied.

Step by step solution

01

Step 1. Given 

The sample size is n= 50

02

Step 2. Assumption 1 

Relative frequencyExpected frequency
( p)( np )
0.2211
0.2110.5
0.2512.5
0.3015
0.021

All the expected frequencies are 1.

Assumption 1 is satisfied .

03

Step 3. Assumption 2

Number of expected frequencies less than 5 = 0

Percentage of expected frequencies less than 5 = 15×100=20

Assumption 2 is satisfied.

Both the assumptions are satisfied.

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Most popular questions from this chapter

The Quinnipiac University Pol conducts nationwide surveys as a public service and for research. This problem is baed on the results of one such poll that asked independent random samples of American adults in urban, suburban, and rural regions, "Do you support or oppose requiring background checks for all gun buyers?" Here are the results.

At the 1%significance level, do the data provide sufficient evidence to conclude that a difference exists in the proportions of supporters among the three regions?

Why is the phrase "goodness of fit" used to describe the type of hypothesis test considered in this section?

In each case, decide whether Assumptions 1and 2for using chi-square goodness-of-fit test are satisfied.

Sample size:n=50.

Relative frequencies:0.20,0.20,0.25,0.30,0.05.

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.

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.

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

The Scottish Executive, Analytical Services Division Transport Statistics, compiles information on motorcycle accidents in Scotland. During one year, data on the number of motorcycle accidents, by day of the week and type of road (built-up or non built-up), are as presented on the WeissStats CD.
a. Group the bivariate data for these two variables into a contingency table.
b. Determine the conditional distribution of day of the week within each type-of-road category and the marginal distribution of day of the week.
c. Determine the conditional distribution of type of road within each day of the week and the marginal distribution of type of road.
d. Does an association exist between the variables "day of the week" and "type of road" for these motorcycle accidents? Explain your answer.

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