Exam 9: Understanding Sampling Distributions: Statistics As Random Variables
Exam 1: Statistics Success Stories and Cautionary Tales79 Questions
Exam 2: Turning Data Into Information94 Questions
Exam 3: Relationships Between Quantitative Variables99 Questions
Exam 4: Relationships Between Categorical Variables100 Questions
Exam 5: Sampling: Surveys and How to Ask Questions109 Questions
Exam 6: Gathering Useful Data for Examining Relationships90 Questions
Exam 7: Probability112 Questions
Exam 8: Random Variables115 Questions
Exam 9: Understanding Sampling Distributions: Statistics As Random Variables231 Questions
Exam 10: Estimating Proportions With Confidence104 Questions
Exam 11: Estimating Means With Confidence103 Questions
Exam 12: Testing Hypotheses About Proportions139 Questions
Exam 13: Testing Hypotheses About Means166 Questions
Exam 14: Inference About Simple Regression115 Questions
Exam 15: More About Inference for Categorical Variables111 Questions
Exam 16: Analysis of Variance111 Questions
Exam 17: Turning Information Into Wisdom70 Questions
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Based on the 2000 Census, the proportion of the California population aged 15 years old or older who are married is p = 0.524. Suppose n = 1000 persons are to be sampled from this population and the sample proportion of married persons ( ) is to be calculated.
-What is the approximate probability that less than 50% of the people in the sample are married?
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The t-distribution is the sampling distribution for which of the following?
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The mean of the sampling distribution for a sample proportion depends on the value(s) of
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Suppose height of college students can be modeled by the normal distribution. We believe the mean of the normal distribution is 1.72 m. We randomly sample 18 students and find an average of 1.69 m and a standard deviation of 5 cm (= 0.05 m).
-What is the standard error of ?
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Suppose that the weight of apples eaten by individual Americans each year can be described by a normal distribution with mean = 15 pounds and standard deviation = 5 pounds per year.
-For a random sample of n = 16 people, what is the mean of the sampling distribution of the sample mean ?
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Suppose that 80% of all English majors and 85% of all engineering majors at a Minnesota college wear winter boots when there is snow on the ground. Two independent random samples of 40 English majors and 60 engineering majors are to be selected during a day with snow on the ground and the proportions of students with winter boots are to be calculated.
-What is the probability that more English majors than engineering majors in the sample wear winter boots?
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In each situation, indicate whether the value given in bold print is .
-75% of all students at a school are in favor of more bicycle parking spaces on campus.
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Scores on an English spelling test are determined for a sample of 16 5th graders both before and after they learn some new vocabulary "tricks of the trade". In the population of difference scores it is know that students improve with an average of 3 points, with a standard deviation of 4 points, and that the distribution of the differences is approximately normal.
-What is the probability that the 16 students in the sample do not improve, on average? a
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Items produced by a certain process are supposed to weigh 90 grams. However, the process is such that there is variability in the items produced and they do not all weigh exactly 90 grams. The distribution of weights is normal with a mean of 89.8 grams and a standard deviation of 1.1 gram.
-If we have a random sample of 10 of these items, what is the probability that their average weight exceeds 91 grams?
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The distribution of quiz, exam, and course grades is known to be left-skewed. The course grades (measured as percentage scores) in upper level statistics classes have a mean of 68 with a standard deviation of 15.
-Suppose 50 course grades are to be randomly selected and the average score in the sample calculated. What is the expected value of the average percentage score in the sample of 50 course grades?
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