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16. What is the area greater than z = 1.1? A. 0.5000 B. 0.8413 C. 0.8643 D. 0.9999

16. What is the area greater than z = 1.1? A. 0.5000 B. 0.8413 C. 0.8643 D. 0.9999

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
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16. What is the area greater than z = 1.1? A. 0.5000 B. 0.8413 C. 0.8643 D. 0.9999 17. What is the area under the normal curve between the z-scores -1.93 and 1.53 A. 0.9102 B. 0.9190 C. 0.9369 D. 0.9639 18. What is the 95 percentile of the normal curve? A. z = 1.60 B. z = 1.64 C. z = 1.645 D. z = 1.65 19. Which of the following refers to the entire group that is under study or investigation? A. Population B. Random sampling C. Sample D. Sample Size 20. Which type of random sampling that can be done by listing all the elements in the population and selecting every kth element in the population list? A. Cluster Sampling B. Simple Random Sampling C. Stratified Sampling D. Systematic Sampling 21. What do you call a number that describes a population characteristic? A. Data B. Parameter C. Sample D. Statistic 22. In a study concerning the economic status of employees in a certain company, a researcher randomly selected 45 employees. What do you call the descriptive measures computed from the 45 employees? A. Confidence B. Parameter C. Statistic D. Variable 23. What do you call a frequency distribution using the means computed from all possible random samples of a specific size taken from a population? C. Probability Distribution D. Sampling Distribution of Sample Means A. Point Estimation B. Population Distribution 24. Given a set of data of a population (11, 12, 13, 14). How many different samples of size n = 2 can be drawn without replacement from the population? A. 4 В.5 C. 6 D. 7 For numbers 25 and 26, refer to the given situation. A population has a mean of 65 and a variance of 2. A random sample of 16 measurements is drawn from this population. Assume that the population is infinite. 25. What is the mean of the sampling distribution of the sample mean? B. 16 A. 12 C. 60 D. 65 26. What is the variance of the sampling distribution of the sample mean? A. 0.0125 B. 0.125 C. 1.25 D. 12.5
Transcribed Image Text:16. What is the area greater than z = 1.1? A. 0.5000 B. 0.8413 C. 0.8643 D. 0.9999 17. What is the area under the normal curve between the z-scores -1.93 and 1.53 A. 0.9102 B. 0.9190 C. 0.9369 D. 0.9639 18. What is the 95 percentile of the normal curve? A. z = 1.60 B. z = 1.64 C. z = 1.645 D. z = 1.65 19. Which of the following refers to the entire group that is under study or investigation? A. Population B. Random sampling C. Sample D. Sample Size 20. Which type of random sampling that can be done by listing all the elements in the population and selecting every kth element in the population list? A. Cluster Sampling B. Simple Random Sampling C. Stratified Sampling D. Systematic Sampling 21. What do you call a number that describes a population characteristic? A. Data B. Parameter C. Sample D. Statistic 22. In a study concerning the economic status of employees in a certain company, a researcher randomly selected 45 employees. What do you call the descriptive measures computed from the 45 employees? A. Confidence B. Parameter C. Statistic D. Variable 23. What do you call a frequency distribution using the means computed from all possible random samples of a specific size taken from a population? C. Probability Distribution D. Sampling Distribution of Sample Means A. Point Estimation B. Population Distribution 24. Given a set of data of a population (11, 12, 13, 14). How many different samples of size n = 2 can be drawn without replacement from the population? A. 4 В.5 C. 6 D. 7 For numbers 25 and 26, refer to the given situation. A population has a mean of 65 and a variance of 2. A random sample of 16 measurements is drawn from this population. Assume that the population is infinite. 25. What is the mean of the sampling distribution of the sample mean? B. 16 A. 12 C. 60 D. 65 26. What is the variance of the sampling distribution of the sample mean? A. 0.0125 B. 0.125 C. 1.25 D. 12.5
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