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If df=2, the chi-square distribution has a shape that reminds us of the exponential.

Short Answer

Expert verified

The statement is true.

Step by step solution

01

Given information

Given in the question that, we have to find that whether the statement is true or false

02

Explanation

The gamma distribution with shape parameter n2and scale parameter 1can be written as shown below:

f(x)=12n2Γn2xn21ex2

The chi-square distribution with2 degrees of freedom can be written as a gamma distribution with the shape parameter as one and the scale parameter as one. And it is understood that this is the exponential distribution with scale parameter 2. Therefore, the statement is true.

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Most popular questions from this chapter

Use the following information to answer the next nine exercise: The following data are real. the cumulative number of AIDS cases reported for Santa Clary Country is broken down by ethnicity as in table 11.29

The percentage of each ethnic group in Santa Clary Country is as in Table shown below

H0:------

A psychologist is interested in testing whether there is a difference in the distribution of personality types for business majors and social science majors. The results of the study are shown in Table. Conduct a test of homogeneity. Test at a 5%level of significance.

OpenConscientiousExtrovertAgreeableNeuroticBusiness4152466158Social Science7275638065

Conduct a goodness-of-fit test to determine if the actual college majors of graduating females fit the distribution of their expected majors.

Major Women -Expected MajorWome -Actual Major
Arts & Humaities 14.0% 670
Biological Sciences
8.4% 410
Business
13.1% 685
Education 13.0% 650
Engineering
2.6% 145
Physical Sciences
2.6% 125
Professional
18.9% 975
Social Sciences
13.0% 605
Technical
0.4% 15
Other
5.8% 300
Undecided 8.0% 420

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

Suppose an airline claims that its flights are consistently on time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is no more than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next 25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.

How did you know to test the variance instead of the mean?

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