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Home | Trắc nghiệm | Kinh tế lượng | 500 câu trắc nghiệm Kinh tế lượng – 10A Tổng hợp 500 câu trắc nghiệm + tự luận Kinh tế lượng (Elementary Statistics). Tất cả các câu hỏi trắc nghiệm + tự luận đều có đáp án

# 500 câu trắc nghiệm Kinh tế lượng – 10A

Tổng hợp 500 câu trắc nghiệm + tự luận Kinh tế lượng (Elementary Statistics). Tất cả các câu hỏi trắc nghiệm + tự luận đều có đáp án. Nội dung được khái quát trong 13 phần, mỗi phần gồm 3 bài kiểm tra (A, B, C). Các câu hỏi trắc nghiệm + tự luận bám rất sát chương trình kinh tế lượng, đặc biệt là phần thống kê, rất phù hợp cho các bạn củng cố và mở rộng các kiến thức về Kinh tế lượng. Các câu hỏi trắc nghiệm + tự luận của phần 10A bao gồm:

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Provide an appropriate response.
1) Describe the test of homogeneity. What characteristic distinguishes a test of homogeneity from a test of independence?

The test of homogeneity tests the claim that different populations have the same proportions of some characteristics. In the test of homogeneity, there are predetermined totals for either the rows or columns of the contingency table. In the test of independence, there is one big sample drawn so that the row and column totals are determined randomly. In the test of homogeneity, predetermined sample sizes are used for each population.

2) Define categorical data and give an example.

Categorical data are data that can be separated into different nonnumeric categories. Examples will vary.

Perform the indicated goodness-of-fit test.
3) A company manager wishes to test a union leader’s claim that absences occur on the different week days with the same frequencies. Test this claim at the 0.05 level of significance if the following sample data have been compiled.

 Day Mon Tue Wed Thur Fri Absences 37 15 12 23 43

H0: The proportions of absences are all the same, p = .20.
H1: The proportions of absences are not all the same.
Test statistic: $${\chi ^2}$$ = 28.308. Critical value: $${\chi ^2}$$ = 9.488. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that absences occur on the different week days with the same
frequency.

4) In studying the responses to a multiple-choice test question, the following sample data were obtained. At the 0.05 significance level, test the claim that the responses occur with the same frequency.

 Response A B C D E Frequency 12 15 16 18 19

H0: The proportions of responses are all equal, p = .20.
H1: The proportions of responses are not all equal.
Test statistic: $${\chi ^2}$$ = 1.875. Critical value: $${\chi ^2}$$ = 9.488. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that the responses occur with the same frequency.

5) Using the data below and a 0.05 significance level, test the claim that the responses occur with percentages of 15%, 20%, 25%, 25%, and 15% respectively.

 Response A B C D E Frequency 12 15 16 18 19

H0: The responses occur according to the stated percentages.
H1: The responses do not occur according to the stated percentages.
Test statistic: $${\chi ^2}$$ = 5.146. Critical value: $${\chi ^2}$$ = 9.488. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that the responses occur according to the stated
percentages.