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

Short Answer

Expert verified

The actual college majors of graduating females fit the distribution of their expected majors.

Step by step solution

01

Step 1. Given information

Total frequency: \(=5000\)

02

Step 2. Calculation

\(H_{0}\) The actual college majors of graduating females fit the distribution of their expected majors

\(H_{a}\) The actual college majors of graduating females do not fit the distribution of their expected majors.

\(df=11-1=10\)

\(\chi ^{2}=11.48\)

\(\alpha=0.05\) or \(\alpha=0.01\)

\(p=0.3211\)

Since \(p\) value \(>\alpha\), the null hypothesis is not rejected. Therefore the actual college majors of graduating females fit the distribution of their expected majors.

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Most popular questions from this chapter

A fisherman is interested in whether the distribution of fish caught in Green Valley Lake is the same as the distribution of fish caught in Echo Lake. Of the 191 randomly selected fish caught in Green Valley Lake, 105 were rainbow trout, 27 were other trout, 35 were bass, and 24 were catfish. Of the 293 randomly selected fish caught in Echo Lake, 115 were rainbow trout, 58 were other trout, 67 were bass, and 53 were catfish. Perform a test for homogeneity at a 5% level of significance.

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

use a solution sheet to solve the hypothesis test problem. Go to Appendix E for the chi-square solution sheet. Round expected frequency to two decimal places car manufacturers are interested in whether there is a relationship between the size of the car an individual drives and the number of people in the driver’s family (that is, whether car size and family size are independent).To test this, suppose that 800car owners were randomly surveyed with the results in Table 11.44. Conduct a test of independence.

Family SizeSub & CompactMid-sizeFull-sizeVan & Truck
1
20
35
40
35
2
20
50
70
80
3-4
20
50
100
90
5+
20
30
70
70

Table 11.44

Letα=0.05

Decision: ________

Conclusion (write out in a complete sentence.): ________

Use a solution sheet to solve the hypothesis test problem. Go to Appendix E for the chi-square solution sheet. Round expected frequency to two decimal places.

A manager of a sports club keeps information concerning the main sport in which members participate and their ages. To test whether there is a relationship between the age of a member and his or her choice of sport, 643members of the sports club are randomly selected. Conduct a test of independence.

Sport18-2526-3031-4041andover
racquetball42583046
tennis58763865
swimming72606533
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