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Material Type: Exam; Class: Statistical Methods; Subject: STA: Statistics; University: Valencia Community College; Term: Unknown 1989;
Typology: Exams
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a. 5 b. 6 c. 7 d. 3
a. test statistic b. level of significance c. sample mean d. critical value
a. Less than 5 % of those who took the test made a score higher than mine. b. Less than half of those who took the test made a score higher than mine. c. Less than 5 % of those who took the test made a score lower than mine. d. My score was in the top 5 % of those who took the test.
These are boxplots of the salaries made by employees of a company. 0 is for males and 1 is for females.
Which of the following is a true statement about the boxplots. a. The median salary for females is about the same as the median salary for males. b. There is more variation in the salaries for men. c. The median salary for women is less than the minimum salary for men. d. The salaries for the women as a whole are about the same as the salaries for the men as a whole.
0 1
40000
35000
30000
25000
GENDER N
SA LA RY
a. all households in this particular city b. the children receiving welfare support in the 400 households that were selected c. 400 households receiving welfare support that were selected d. the households in this particular city that are listed on the welfare rolls of the city
The linear correlation coefficient between X and Y is equal to -.. Select the best interpretation of the correlation between X and Y.
a. The strength of the linear correlation between exercise and days missed due to illness is weak. The more a person exercises, the more days of work he misses due to illness.
b. The strength of the linear correlation between exercise and days missed due to illness is strong. The more a person exercises, the more days of work he misses due to illness.
c. The strength of the linear correlation between exercise and days missed due to illness is weak. The more a person exercises, the less days of work he misses due to illness.
d. The strength of the linear correlation between exercise and days missed due to illness is strong. The more a person exercises, the less days of work he misses due to illness.
What is the 25th percentile of these numbers:
a. 130 b. 160 c. 172 d. 182
a. (.238, .302) b. (.269, .271) c. (-.03, .044) d. (.231, .309)
a. -.242 b. -4.845 c. -1.083 d. -2.
a. We are 99% sure that the mean IQ is equal to 105. b. We are 99% sure that the mean IQ is not equal to 105. c. At a significance level of .01 there is not sufficient evidence to conclude that the mean is different from 105.. d. At a significance level of .01, we reject the null hypothesis and conclude that the mean is different from 105.
The mean of this distribution is:
a. 1.95 b. 2.5 c. 5 d. 9.
a. 1 b. 1.5 c. 2 d. 2.
For the above histogram, which statement is true? a. The mean is approximately 250. b. The mean is less than the median. c. The range of the data is 250. d. The range of the data is 9.
0 1 2 3 4 5 6 7 8 9 10
200
100
0
C
Frequency
a. 82. b. 115 c. 131. d. 148.
a. .5596 b. .7734 c. 1.03 d. –1.
Data set #1: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11 Data set #2: 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7
a. The standard deviation of data set 1 is the same as the standard deviation of data set # b. The standard deviation of data set 1 is more than the standard deviation of data set # c. The standard deviation of data set 1 is less than the standard deviation of data set # d. It is impossible to know the relationship between the standard deviations of the two data sets without calculating the standard deviation of each.
Ha
0 0 0
μ μ
a. There is sufficient evidence to conclude that the mean is equal to 100. b. There is not sufficient evidence to conclude that the mean is less than 100. c. There is sufficient evidence to conclude that the mean is less than or equal to 100. d. There is sufficient evidence to conclude that the mean is less than 100.
57 59 61 63 65 67 69 71
15
10
5
0
HEIGHTS
Frequency
What percentage of this population has heights between 61 and under 65 inches? a. 21% b. 27% c. 36% d. 60%