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Material Type: Exam; Class: STATISTICAL METHODS; Subject: STATISTICS; University: Texas A&M University; Term: Fall 2006;
Typology: Exams
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A. a statistic is to a parameter. B. x is to μ. C. r is to ρ. D. All of the above are correct. E. Only two of the above are correct.
Public Private Total Non-Hispanic White 7094 1982 9076 Non-Hispanic Black 831 290 1121 Hispanic 336 47 383 Asian 166 32 198 Native American 68 9 77 Total 8495 2360 10855
How likely is a public college student to be non-Hispanic black?
A. 831/ B. 831/ C. 831/ D. 1121/ E. 8495/
A. 9/ B. 9/ C. 9/ D. 77/ E. 2360/
LANK A in a sampling method means that the sample results will systematically misrepresent the population in the same way when we take repeated samples. For example, if we contact only people listed in telephone directories, the sample suffers from BLANK B. If some people chosen for the sample refuse to participate, the sample suffers from BLANK C. Both BLANK B and BLANK C are common sources of BLANK A. B ¯
A should read
A. bias B. random sampling error C. high variability D. undercoverage E. nonresponse
A. the first one since it has the worst (farthest away from the median) outliers B. the second one C. the third one since it has the most outliers D. the fourth one E. the sixth one
A. the first one B. the second one C. the fourth one D. the fifth one E. the sixth one
A. There is a strong negative correlation between a person’s gender and the amount that he or she pays for automobile insurance. Males must pay more for their insurance. B. The standard deviation of scores on the first STAT303 exam was s = −14 points. C. The mean height of young women is 64 inches, and the correlation between their heights and weights is 0.6 inches. D. The correlation between height and weight for adult females is about r = 1.2. E. All four statements contain blunders.
A. a two-way table with drinking as the column vari- able and income as the row variable B. side-by-side boxplots of income for drinkers and non C. a scatterplot of income vs. drinks per week D. two pie charts since drinking is a categorical vari- able E. Any of the above would work.
A. strongly negative B. moderately negative C. weak D. moderately positive E. strongly positive
A. The new slope would be 1 over the old slope (the inverse). B. The new slope would be the old intercept and the new intercept would be the old slope (they would switch position since x and y switched). C. The correlation would be exactly the same. D. The new correlation would be 1 over the old cor- relation. E. Two of the above are true.
A. Since the point (5,3) would be off of the line, the correlation would decrease, and the slope and in- tercept would change some. B. Since the point (5,3) is about the mean, none of the 3 statistics would change much. C. Since the point (3,5) would be off of the line, the correlation would decrease, but the slope and in- tercept would not change. D. Since the point (3,5) would be on of the line, the correlation would decrease, the slope decrease some and intercept would increase some. E. Since the point (3,5) would be off of the line, the correlation would decrease, the slope decrease some and intercept would increase some.
A. Simple random sampling B. Systematic samping C. Stratified random sampling D. Multistage sampling E. None of the above; this is not a good sampling technique.
1D,2C,3A,4A,5E,6A,7E,8B,9D,10B,11E 12E,13C,14D,15D,16B,17D,18C,19B,20D