Exam 7: Sampling and Sampling Distributions
Exam 1: Instruction and Data Collection47 Questions
Exam 2: Presenting Data in Tables and Charts277 Questions
Exam 3: Numerical Descriptive Measures139 Questions
Exam 4: Basic Probability137 Questions
Exam 5: Some Important Discrete Probability Distributions188 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions164 Questions
Exam 7: Sampling and Sampling Distributions187 Questions
Exam 8: Confidence Interval Estimation173 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests146 Questions
Exam 10: Two-Sample Tests190 Questions
Exam 11: Analysis of Variance127 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests174 Questions
Exam 13: Simple Linear Regression198 Questions
Exam 14: Introduction to Multiple Regression215 Questions
Exam 15: Multiple Regression Model Building101 Questions
Exam 16: Time-Series Analysis and Index Numbers133 Questions
Exam 17: Statistical Applications in Quality Management132 Questions
Exam 18: Data Analysis Overview52 Questions
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Which of the following is NOT a reason for the need for sampling?
(Multiple Choice)
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Suppose the ages of students in Statistics 101 follow a skewed-right distribution with a mean of 23 years and a standard deviation of 3 years. If we randomly sampled 100 students, which of the following statements about the sampling distribution of the sample mean age is incorrect?
(Multiple Choice)
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A study at a college in the west coast reveals that, historically, 45% of their students are minority students. If random samples of size 75 are selected, 95% of the samples will have more than ________% of minority students.
(Short Answer)
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Which of the following sampling methods is a probability sample?
(Multiple Choice)
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A population frame for a survey contains a listing of 6,179 names. Using a table of random numbers, which of the following code numbers will appear on your list?
(Multiple Choice)
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If the amount of gasoline purchased per car at a large service station has a population mean of $15 and a population standard deviation of $4 and it is assumed that the amount of gasoline purchased per car is symmetric, there is approximately a 68.26% chance that a random sample of 16 cars will have a sample mean between $14 and $16.
(True/False)
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For sample sizes greater than 30, the sampling distribution of the mean will be approximately normally distributed
(Multiple Choice)
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