Exam 9: Sampling Distributions
Exam 1: What Is Statistics39 Questions
Exam 2: Graphical Descriptive Techniques I89 Questions
Exam 3: Graphical Descriptive Techniques II179 Questions
Exam 4: A: Numerical Descriptive Techniques202 Questions
Exam 4: B: Numerical Descriptive Techniques39 Questions
Exam 4: C: Numerical Descriptive Techniques18 Questions
Exam 5: Data Collection and Sampling76 Questions
Exam 6: Probability223 Questions
Exam 7: A: Random Variables and Discrete Probability Distributions225 Questions
Exam 7: B: Random Variables and Discrete Probability Distributions44 Questions
Exam 8: Continuous Probability Distributions200 Questions
Exam 9: Sampling Distributions150 Questions
Exam 10: Introduction to Estimation143 Questions
Exam 11: Introduction to Hypothesis Testing179 Questions
Exam 12: Inference About a Population149 Questions
Exam 13: Inference About Comparing Two Populations169 Questions
Exam 14: Analysis of Variance154 Questions
Exam 15: Chi-Squared Tests174 Questions
Exam 16: A: Simple Linear Regression and Correlation246 Questions
Exam 16: B: Simple Linear Regression and Correlation47 Questions
Exam 17: Multiple Regression156 Questions
Exam 18: Model Building137 Questions
Exam 19: Nonparametric Statistics171 Questions
Exam 20: Time-Series Analysis and Forecasting217 Questions
Exam 21: Statistical Process Control133 Questions
Exam 22: Decision Analysis121 Questions
Exam 23: Conclusion45 Questions
Select questions type
For a sample size of 1,the sampling distribution of the mean is normally distributed:
(Multiple Choice)
4.7/5
(38)
As the number of throws of a fair die increases,the probability that the sample mean is close to (the number)____________________ increases.
(Essay)
4.8/5
(29)
The mean of the sampling distribution of the sample proportion ,when the sample size n = 100 and the population proportion p = 0.92,is 92.0.
(True/False)
4.8/5
(29)
A sample of size 25 is selected at random from a finite population.If the finite population correction factor is 0.63,then the population size is:
(Multiple Choice)
4.9/5
(34)
Given that X is a binomial random variable with very large n,the binomial probability P(X 5)is approximated by the area under a normal curve to the right of
(Multiple Choice)
4.9/5
(40)
A sample of size 40 is taken from an infinite population whose mean and standard deviation are 68 and 12,respectively.The probability that the sample mean is larger than 70 equals
(Multiple Choice)
4.8/5
(43)
As n gets ____________________,the shape of the sampling distribution of becomes increasingly bell shaped.
(Essay)
4.7/5
(38)
Mean Salary
In order to estimate the mean salary for a population of 500 employees,the president of a certain company selected at random a sample of 40 employees.
-{Mean Salary Narrative} If the population standard deviation is $800,compute the standard error both with and without using the finite population correction factor.
(Essay)
4.9/5
(36)
College Dean
A college dean would like to estimate a population mean to within 40 units with 99% confidence given that the population standard deviation is 200.
-The Central Limit Theorem permits us to draw conclusions about a population based on a sample alone,without having any knowledge about the distribution of that population.And this works no matter what the sample size is.
(True/False)
4.8/5
(42)
As a general rule in computing the standard error of the sample mean,the finite population correction factor is used only if the:
(Multiple Choice)
4.9/5
(35)
If two random samples of sizes 30 and 32 are selected independently from two populations with means 121 and 109,then the mean of the sampling distribution of the sample mean difference, ,equals 12.
(True/False)
4.9/5
(48)
Poker Time
The amount of time spent by American adults playing Poker per week is normally distributed with a mean of 4 hours and standard deviation of 1.25 hours.
-{Poker Time Narrative} Find the probability that if four American adults are randomly selected,all four play Poker for more than 5 hours per week.
(Essay)
4.8/5
(42)
The width of the sampling distribution of gets ____________________ as the sample size increases.
(Essay)
4.8/5
(41)
A randomly selected value of is likely to be ____________________ to(than)the mean of the population than is a randomly selected value of X.
(Essay)
4.9/5
(38)
A sampling distribution is a probability distribution for a statistic,not a parameter.
(True/False)
4.9/5
(34)
Heights of Men
The heights of men in the USA are normally distributed with a mean of 68 inches and a standard deviation of 4 inches.
-{Heights of Men Narrative} A random sample of five men is selected.What is the probability that the sample mean is greater than 70 inches?
(Essay)
4.9/5
(33)
An infinite population has a mean of 40 and a standard deviation of 15.A sample of size 100 is taken at random from this population.The standard error of the sample mean equals:
(Multiple Choice)
4.9/5
(33)
The amount of bleach a machine pours into bottles has a mean of 50 ounces with a standard deviation of 0.25 ounces.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean has a standard error of 0.25 ounces.
(True/False)
4.8/5
(47)
Graduate Internships
The chairman of the Biology department in a certain college believes that 70% of the department's graduate internships are given to international students.A random sample of 50 graduate interns is taken.
-{Graduate Internships Narrative} Assume that the chairman is correct and p = 0.70.What is the sampling distribution of the sample proportion ? Explain.
(Essay)
4.8/5
(40)
As a general rule,the normal distribution is used to approximate the sampling distribution of the sample proportion only if the sample size n is greater than or equal to 30.
(True/False)
4.9/5
(27)
Showing 41 - 60 of 150
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)