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11.3 Goodness-of-Fit Test

Observed category counts weighed against the counts a proposed distribution predicts, deciding whether data plausibly came from that distribution at all.

Introductory Business Statistics 2e, 11.3 Goodness-of-Fit Test

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18 exercises

11.3 Exercise 1

Ha: Student absenteeism does not fit faculty perception.

a. Can you use the information as it appears in the charts to conduct the goodness-of-fit test?

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11.3 Exercise 2

Ha: Student absenteeism does not fit faculty perception.

b. What is the number of degrees of freedom (df)?

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11.3 Exercise 3

A factory manager needs to understand how many products are defective versus how many are produced. The number of expected defects is listed in the table.

A random sample was taken to determine the actual number of defects. the table shows the results of the survey.

State the null and alternative hypotheses needed to conduct a goodness-of-fit test, and state the degrees of freedom.

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11.3 Exercise 5

Teachers want to know which night each week their students are doing most of their homework. Most teachers think that students do homework equally throughout the week. Suppose a random sample of 56 students were asked on which night of the week they did the most homework. The results were distributed as in the table.

From the population of students, do the nights for the highest number of students…

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11.3 Exercise 7

The expected percentage of the number of pets students have in their homes is distributed (this is the given distribution for the student population of the United States) as in the table.

A random sample of 1,000 students from the Eastern United States resulted in the data in the table.

At the 1% significance level, does it appear that the distribution “number of pets” of students in the Eastern Uni…

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11.3 Exercise 11

Determine the appropriate test to be used in the next three exercises.

An economist is deriving a model to predict outcomes on the stock market. They create a list of expected points on the stock market index for the next two weeks. At the close of each day’s trading, the economist records the actual points on the index. They want to see how well the model matched what actually happened.

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11.3 Exercise 13

df= d f = ______

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11.3 Exercise 15

χ2 test statistic = ______

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11.3 Exercise 16

At the 5% significance level, what can you conclude?

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11.3 Exercise 18

H0: _______

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11.3 Exercise 20

Is this a right-tailed, left-tailed, or two-tailed test?

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11.3 Exercise 22

χ2 test statistic = _______

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11.3 Exercise 26

The marital status distribution of the U.S. male population, ages 15 and older, is as shown in the table.

Suppose that a random sample of 400 U.S. young adult men, 18 to 24 years old, yielded the following frequency distribution. We are interested in whether this age group of males fits the distribution of the U.S. adult population. Calculate the frequency one would expect when surveying 400 peo…

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11.3 Exercise 28

Perform a goodness-of-fit test to determine whether the local results follow the distribution of those who use mass transit, based on ethnicity.

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11.3 Exercise 30

Use the following information to answer the next two exercises: UCLA conducted a survey of more than 263,000 first-year students from 385 colleges in a certain year. Suppose a survey of 5,000 graduating women and 5,000 graduating men was done as a follow-up last year to determine what their actual majors were. The results are shown in the tables for the exercise and the exercise. The second column…

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11.3 Exercise 33

Read the statement and decide whether it is true or false.

Use a goodness-of-fit test to determine if high school principals believe that students are absent equally during the week or not.

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11.3 Exercise 35

Read the statement and decide whether it is true or false.

In a goodness-of fit test, if the p-value is 0.0113, in general, do not reject the null hypothesis.

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11.3 Exercise 37

Read the statement and decide whether it is true or false.

the table contains information from a survey among 499 participants classified according to their age groups. The second column shows the percentage of obese people per age class among the study participants. The last column comes from a different study at the national level that shows the corresponding percentages of obese people in the s…

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Adapted from Introductory Business Statistics 2e © 2023 Rice University. Licensed under CC BY 4.0. Source: Introductory Business Statistics 2e. Imported at revision 50ec917.