Exam 7: Sampling and Sampling Distributions
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays67 Questions
Exam 3: Descriptive Statistics: Numerical Measures127 Questions
Exam 4: Introduction to Probability99 Questions
Exam 5: Discrete Probability Distributions86 Questions
Exam 6: Continuous Probability Distributions120 Questions
Exam 7: Sampling and Sampling Distributions117 Questions
Exam 8: Interval Estimation144 Questions
Exam 9: Hypothesis Tests129 Questions
Exam 10: Inference About Means and Proportions With Two Populations85 Questions
Exam 11: Inferences About Population Variances85 Questions
Exam 12: Comparing Multiple Proportions, Tests of Independence and Goodness of Fit59 Questions
Exam 13: Experimental Design and Analysis of Variance80 Questions
Exam 14: Simple Linear Regression131 Questions
Exam 15: Multiple Regression103 Questions
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Which of the following statements about cluster sampling is false?
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The desired situation is when the sampled population is _____ the targeted population.
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There are 7 children in a family.The number of children defines a population.The number of simple random samples of size 2 (without replacement) which are possible equals
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A finite population correction factor is needed in computing the standard deviation of the sampling distribution of sample means
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In computing the standard error of the mean, the finite population correction factor is used when
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The expected value of equals the mean of the population from which the sample is drawn
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A random sample of 144 bottles of cologne showed an average content of 4 ounces.It is known that the standard deviation of the contents (i.e., of the population) is 0.3 ounces.The standard error of the mean equals
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When the population has a normal distribution, the sampling distribution of
is normally distributed for any sample

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A population has a mean of 60 and a standard deviation of 18.A sample of 81 observations will be taken.The probability that the sample mean will be larger than 64 is
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Random samples of size 64 are taken from an infinite population whose mean and standard deviation are 24 and 6.4, respectively.The distribution of the population is unknown.The mean and the standard error of the mean are
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In a local university, 70% of the students live in the dormitories.A random sample of 75 students is selected for a particular study.The probability that the sample proportion (the proportion living in the dormitories) is between 0.69 and 0.72 is
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A population consists of 500 elements.We want to draw a simple random sample of 50 elements from this population.On the first selection, the probability of an element being selected is
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As a rule of thumb, the sampling distribution of the sample proportions can be approximated by a normal probability distribution whenever
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A sample of 66 observations will be taken from an infinite population.The population proportion equals 0.12.The probability that the sample proportion will be less than 0.1969 is
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Which of the following is NOT an example of nonsampling error?
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A sample of 400 observations will be taken from an infinite population.The population proportion equals 0.8.The probability that the sample proportion will be greater than 0.75 is
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A population of size 1,000 has a proportion of 0.5.Therefore, the proportion and the standard deviation of the sample proportion for samples of size 100 are
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