Exam 7: Sampling and Sampling Distributions
Exam 1: Introduction to Statistics130 Questions
Exam 2: Charts and Graphs94 Questions
Exam 3: Descriptive Statistics105 Questions
Exam 4: Probability122 Questions
Exam 5: Discrete Distributions75 Questions
Exam 6: Continuous Distributions107 Questions
Exam 7: Sampling and Sampling Distributions101 Questions
Exam 8: Statistical Inference: Estimation for Single Populations75 Questions
Exam 9: Statistical Inference: Hypothesis Testing for Single Populations73 Questions
Exam 10: Statistical Inferences About Two Populations73 Questions
Exam 11: Analysis of Variance and Design of Experiments75 Questions
Exam 12: Simple Regression Analysis and Correlation75 Questions
Exam 13: Multiple Regression Analysis75 Questions
Exam 14: Building Multiple Regression Models75 Questions
Exam 15: Time-Series Forecasting and Index Numbers74 Questions
Exam 16: Analysis of Categorical Data74 Questions
Exam 17: Nonparametric Statistics79 Questions
Exam 18: Statistical Quality Control75 Questions
Exam 19: Decision Analysis77 Questions
Select questions type
Catherine Chao, Director of Marketing Research, needs a sample of Ottawa households to participate in the testing of a new toothpaste package.If 40% of the households in Ottawa prefer the new package, the probability that Catherine's random sample of 300 households will have a sample proportion greater than 45% is ___.
(Multiple Choice)
4.8/5
(31)
Increasing the sample size causes the sampling distribution of
to ___.

(Multiple Choice)
4.9/5
(36)
Suppose a population has a mean of 870 and a variance of 1,600.If a random sample is size 64 is drawn from the population, the probability that the sample mean is between 860 and 875 is ___.
(Multiple Choice)
4.9/5
(33)
Suppose 40% of the population possess a given characteristic.If a random sample of size 300 is drawn from the population, then the probability that 44% or fewer of the samples possess the characteristic is ___.
(Multiple Choice)
4.9/5
(41)
A random sample of size 100 is drawn from a population with a standard deviation of 10.If only 5% of the time a sample mean greater than 20 is obtained, the mean of the population is ______
(Multiple Choice)
4.9/5
(30)
Financial analyst Larry Potts needs a sample of 100 securities listed on either the Toronto Stock Exchange (TSX)or the New York Stock Exchange (NYSE).According to the Report on Business Magazine's "Stock Market Data Bank," 2,531 TSX securities and 746 NYSE securities were traded on the previous business day.Larry directs his staff to randomly select 77 TSX and 23 NYSE securities.His sample is a ___.
(Multiple Choice)
4.7/5
(38)
Suppose a population has a mean of 870 and a variance of 8,100.If a random sample is size 36 is drawn from the population, the probability that the sample mean is between 840 and 900 is ___.
(Multiple Choice)
4.9/5
(29)
Suppose a population has a mean of 450 and a variance of 900.If a random sample is size 100 is drawn from the population, the probability that the sample mean is between 448 and 453 is ___.
(Multiple Choice)
4.7/5
(31)
Financial analyst Larry Potts needs a sample of 100 securities listed on the Toronto Stock Exchange.The current issue of the Report on Business Magazine, has an alphabetical list of the 2,531 securities that are listed in the "Toronto Exchange Composite Transactions," an alphabetical listing of all securities traded on the previous business day.Larry uses a table of random numbers to select 100 numbers between 1 and 2,531.His sample is a ___.
(Multiple Choice)
4.9/5
(32)
The two major categories of sampling methods are proportionate and disproportionate sampling.
(True/False)
4.8/5
(27)
If random variable X is distributed according to a uniform distribution between 0 and 1 (X ~ U[0, 1]), and 100 random samples of sizes 35-40 were taken, the standard deviation of the sample means would be ______.
(Multiple Choice)
4.8/5
(37)
In a random sampling technique every unit of the population has a randomly varying chance or probability of being included in the sample.
(True/False)
4.9/5
(38)
Alice Zhong is the VP of Operations at Pearl Financial Services.She wants to measure customer satisfaction after a new website and other changes were introduced a few months ago.For this purpose, she instructs her staff to prepare a questionnaire and send it to the first 200 clients in their alphabetical list of active clients.This is an example of ______.
(Multiple Choice)
4.8/5
(36)
Financial analyst Larry Potts needs a sample of 100 securities listed on the Toronto Stock Exchange.The current issue of the Report on Business Magazine, has an alphabetical list of the 2,531 securities that are listed in the "Toronto Exchange Composite Transactions," an alphabetical listing of all securities traded on the previous business day.Larry randomly selects the 7th security as a starting point, and selects every 25th security thereafter (7, 32, 57, etc.).His sample is a ___.
(Multiple Choice)
4.8/5
(38)
The central limit theorem states that if the sample size, n, is large enough (n ≥30), the distribution of the sample means is uniformly distributed regardless of the shape of the population.
(True/False)
4.9/5
(33)
Suppose the population of all public Universities shows the annual parking fee per student is normally distributed with a mean of $110 with a standard deviation of $18.If a random sample of size 49 is drawn from the population, the probability of drawing a sample with a mean of less than $92 is _______.
(Multiple Choice)
4.8/5
(36)
Saving time and money are reasons to take a sample rather than do a census.
(True/False)
4.8/5
(38)
Albert Abbasi, VP of Operations at Ingleside International Bank, is evaluating the service level provided to walk-in customers.Accordingly, he plans a sample of waiting times for walk-in customers.If the population of waiting times has a mean of 15 minutes and a standard deviation of 4 minutes, the probability that Albert's sample of 64 will have a mean less than 14 minutes is ___.
(Multiple Choice)
4.9/5
(46)
Suppose 30% of a population possess a given characteristic.If a random sample of size 1200 is drawn from the population, then the probability that less than 348 possess that characteristic is ___.
(Multiple Choice)
4.8/5
(30)
Showing 21 - 40 of 101
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)