Exam 7: Sampling Distributions
Exam 1: Defining and Collecting Data204 Questions
Exam 2: Organizing and Visualizing Variables185 Questions
Exam 3: Numerical Descriptive Measures167 Questions
Exam 4: Basic Probability163 Questions
Exam 5: Discrete Probability Distributions216 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions187 Questions
Exam 7: Sampling Distributions129 Questions
Exam 8: Confidence Interval Estimation189 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests185 Questions
Exam 10: Two-Sample Tests212 Questions
Exam 11: Analysis of Variance210 Questions
Exam 12: Chi-Square and Nonparametric Tests175 Questions
Exam 13: Simple Linear Regression210 Questions
Exam 14: Introduction to Multiple Regression256 Questions
Exam 15: Multiple Regression Model Building67 Questions
Exam 16: Time-Series Forecasting168 Questions
Exam 17: Business Analytics113 Questions
Exam 18: A Roadmap for Analyzing Data325 Questions
Exam 19: Statistical Applications in Quality Management158 Questions
Exam 20: Decision Making123 Questions
Exam 21: Getting Started: Important Things to Learn First35 Questions
Exam 22: Binomial Distribution and Normal Approximation230 Questions
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A study at a college in the west coast reveals that,historically,45% of the students are minority students.If random samples of size 75 are selected,the standard error of the proportion of students in the samples who are minority students is .
(Short Answer)
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The amount of time it takes to complete an examination has a left skewed distribution with a mean of 65 minutes and a standard deviation of 8 minutes.If 64 students were randomly sampled,the probability that the sample mean of the sampled students exceeds 71 minutes is approximately 0.
(True/False)
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The standard error of the sampling distribution of a sample proportion is where p is the sample proportion.


(True/False)
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The amount of tea leaves in a can from a production line is normally distributed with μ = 110 grams and σ = 25 grams.A sample of 25 cans is to be selected.So,95% of all sample means will be greater than how many grams?
(Short Answer)
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The sample proportion is an unbiased estimate of the population proportion.
(True/False)
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If the population distribution is symmetric,the sampling distribution of the mean can be approximated by the normal distribution if the samples contain 15 observations.
(True/False)
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The amount of tea leaves in a can from a production line is normally distributed with μ = 110 grams and σ = 25 grams.A sample of 25 cans is to be selected.What is the probability that the sample mean will be less than 100 grams?
(Short Answer)
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SCENARIO 7-5
According to an article,19% of the entire population in a developing country has high-speed access to the Internet.Random samples of size 200 are selected from the country's population.
-Referring to Scenario 7-5,among all the random samples of size 200,_____% will have between 9% and 29% who have high-speed access to the Internet.
(Short Answer)
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SCENARIO 7-1
The time spent studying by students in the week before final exams follows a normal distribution with a standard deviation of 8 hours.A random sample of 4 students was taken to estimate the mean study time for the population of all students.
-Referring to Scenario 7-1,what is the probability that the sample mean is more than 3 hours below the population mean?
(Short Answer)
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SCENARIO 7-5
According to an article,19% of the entire population in a developing country has high-speed access to the Internet.Random samples of size 200 are selected from the country's population.
-Referring to Scenario 7-5,among all the random samples of size 200,_____% will have between 14% and 24% who have high-speed access to the Internet.
(Short Answer)
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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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The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The probability that the mean of the sample exceeds 36.01 oz.is .
(Short Answer)
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Suppose ? = 50 and = 10 for a population.In a sample where n = 100 is randomly taken,90% of all possible sample means will fall between 49 and 51.
(True/False)
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The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean has a mean of 36 oz.
(True/False)
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The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The probability that the mean of the sample is less than 36.03 is .
(Short Answer)
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SCENARIO 7-3
The lifetimes of a certain brand of light bulbs are known to be normally distributed with a mean of 1,600 hours and a standard deviation of 400 hours.A random sample of 64 of these light bulbs is taken.
-Referring to Scenario 7-3,what is the probability that the sample mean lifetime is more than 1,550 hours?
(Short Answer)
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The standard error of the population proportion will become larger
(Multiple Choice)
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The amount of tea leaves in a can from a production line is normally distributed with μ = 110 grams and σ = 25 grams.A sample of 25 cans is to be selected.What is the probability that the sample mean will be between 100 and 120 grams?
(Short Answer)
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If the amount of gasoline purchased per car at a large service station has a population mean of 15 gallons and a population standard deviation of 4 gallons and a random sample of 4 cars is selected,there is approximately a 68.26% chance that the sample mean will be between 13 and 17 gallons.
(True/False)
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A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes.Suppose a random sample of 64 purchasers of this table saw is taken.So,the middle 95% of the sample means based on samples of size 64 will be between_____ and _____.
(Short Answer)
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