Question 1

Sometimes,sampling from a population may be preferred because collecting statistics may require that products be ___________.

Accepted Answer

The answer of Sometimes,sampling from a population may be preferred...

Question 2

In stratified random sampling,a population is divided into strata using naturally occurring geographic or other boundaries.Then strata are randomly selected and a random sample is collected from each strata.

Accepted Answer

A) True 
 B)False

Question 3

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.What is the probability that a person would score between 85 and 115?

Accepted Answer

A) 0.3413 
B) 0.6826 
C) 1.00 
D) Very likely 
A) 0.3413 
B) 0.6826 
C) 1.00 
D) Very likely

Question 4

When cluster sampling is used,the central limit theorem cannot be applied.

Accepted Answer

A) True 
 B)False

Question 5

Which sampling method would be best to use if the population can be divided into homogeneous subgroups? ______________________

Accepted Answer

Stratified

Question 6

Truck tire life is normally distributed with a mean of 60,000 miles and a standard deviation of 4,000 miles.You bought four tires.What is the probability that the average mileage of the four tires exceeds 66,000 miles?

Accepted Answer

A) 0.0013 
B) 0.9987 
C) 0.4987 
D) 0.9544 
A) 0.0013 
B) 0.9987 
C) 0.4987 
D) 0.9544

Question 7

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.You enrolled in a class of 25 students.What is the probability that the class' average IQ exceeds 130?

Accepted Answer

A) 0.0228 
B) 0.9772 
C) Approximately zero 
D) 0.9544 
A) 0.0228 
B) 0.9772 
C) Approximately zero 
D) 0.9544

Question 8

The true sampling error is usually not known because

Accepted Answer

A) µ is a unknown 
B) µ is a random variable 
C) $\sigma$2 is unknown 
D) The sample mean cannot be computed 
A) µ is a unknown 
B) µ is a random variable 
C) $\sigma$2 is unknown 
D) The sample mean cannot be computed

Question 9

The process of making statements about a population based on a sample from the population is called ______________________.

Accepted Answer

statistica

Question 10

Fish and game wardens estimate the average weight of the fish or game population by using creel checks and other devices.Based on this sample data,a warden might estimate that the mean weight of Coho salmon caught in Lake Michigan is 2.5 pounds.This single number is called a point estimate of the unknown population parameter.

Accepted Answer

A) True 
 B)False

Question 11

The central limit theorem implies that for adequate sample size,the sampling distribution of the sample mean is approximately normal.

Accepted Answer

A) True 
 B)False

Question 12

What type of sampling is it when a population is first divided into subgroups and then a sample is selected from each subgroup? _________

Accepted Answer

Stratified

Question 13

The central limit theorem implies that for samples of size one or two,we can infer that the sampling distribution of the sample mean is approximately normal.

Accepted Answer

A) True 
 B)False

Question 14

When systematic random sampling is used,the central limit theorem cannot be applied.

Accepted Answer

A) True 
 B)False

Question 15

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.Given a class with 25 students,what is the probability that the class' average IQ score is between 85 and 115?

Accepted Answer

A) 0.4987 
B) 3.00 
C) 0.0026 
D) 0.9974 
A) 0.4987 
B) 3.00 
C) 0.0026 
D) 0.9974

Question 16

How is the Central Limit Theorem helpful when computing probabilities?

Accepted Answer

The Central Limit Theorem allo

Question 17

For a population that is not normally distributed,the distribution of the sample means will

Accepted Answer

A) be negatively skewed. 
B) approach the normal distribution. 
C) be positively skewed. 
D) take the same shape as the population. 
A) be negatively skewed. 
B) approach the normal distribution. 
C) be positively skewed. 
D) take the same shape as the population.

Question 18

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.What is the probability that a person would score 130 or more on the test?

Accepted Answer

A) 0.0228 
B) 0.9772 
C) 0.4772 
D) 0.9544 
A) 0.0228 
B) 0.9772 
C) 0.4772 
D) 0.9544

Question 19

As the size of the sample increases,what happens to the shape of the distribution of sample means?

Accepted Answer

A) Cannot be predicted in advance 
B) Approaches a normal distribution 
C) Positively skewed 
D) Negatively skewed 
A) Cannot be predicted in advance 
B) Approaches a normal distribution 
C) Positively skewed 
D) Negatively skewed

Question 20

Sampling error is defined as

Accepted Answer

A) (   - µ) 
B) $\sigma$ 
C) $\sigma$/n 
D) N - n 
A) (   - µ) 
B) $\sigma$ 
C) $\sigma$/n 
D) N - n

Sometimes,sampling from a population may be preferred because collecting statistics may require that products be ___________.

In stratified random sampling,a population is divided into strata using naturally occurring geographic or other boundaries.Then strata are randomly selected and a random sample is collected from each strata.

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.What is the probability that a person would score between 85 and 115?

When cluster sampling is used,the central limit theorem cannot be applied.

Which sampling method would be best to use if the population can be divided into homogeneous subgroups? ______________________

Truck tire life is normally distributed with a mean of 60,000 miles and a standard deviation of 4,000 miles.You bought four tires.What is the probability that the average mileage of the four tires exceeds 66,000 miles?

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.You enrolled in a class of 25 students.What is the probability that the class' average IQ exceeds 130?

The true sampling error is usually not known because

The process of making statements about a population based on a sample from the population is called ______________________.

The central limit theorem implies that for adequate sample size,the sampling distribution of the sample mean is approximately normal.

What type of sampling is it when a population is first divided into subgroups and then a sample is selected from each subgroup? _________

The central limit theorem implies that for samples of size one or two,we can infer that the sampling distribution of the sample mean is approximately normal.

When systematic random sampling is used,the central limit theorem cannot be applied.

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.Given a class with 25 students,what is the probability that the class' average IQ score is between 85 and 115?

How is the Central Limit Theorem helpful when computing probabilities?

For a population that is not normally distributed,the distribution of the sample means will

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.What is the probability that a person would score 130 or more on the test?

As the size of the sample increases,what happens to the shape of the distribution of sample means?

Sampling error is defined as

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Linear Regression and Correlation

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters

Exam 8: Sampling Methods and the Central Limit Theorem

Sometimes,sampling from a population may be preferred because collecting statistics may require that products be ___________.

In stratified random sampling,a population is divided into strata using naturally occurring geographic or other boundaries.Then strata are randomly selected and a random sample is collected from each strata.

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.What is the probability that a person would score between 85 and 115?

When cluster sampling is used,the central limit theorem cannot be applied.

Which sampling method would be best to use if the population can be divided into homogeneous subgroups? ______________________

Truck tire life is normally distributed with a mean of 60,000 miles and a standard deviation of 4,000 miles.You bought four tires.What is the probability that the average mileage of the four tires exceeds 66,000 miles?

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.You enrolled in a class of 25 students.What is the probability that the class' average IQ exceeds 130?

The true sampling error is usually not known because

The process of making statements about a population based on a sample from the population is called ______________________.

The central limit theorem implies that for adequate sample size,the sampling distribution of the sample mean is approximately normal.

What type of sampling is it when a population is first divided into subgroups and then a sample is selected from each subgroup? _________

The central limit theorem implies that for samples of size one or two,we can infer that the sampling distribution of the sample mean is approximately normal.

When systematic random sampling is used,the central limit theorem cannot be applied.

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.Given a class with 25 students,what is the probability that the class' average IQ score is between 85 and 115?

How is the Central Limit Theorem helpful when computing probabilities?

For a population that is not normally distributed,the distribution of the sample means will

The Intelligence Quotient (IQ)test scores are normally distributed with a mean of 100 and a standard deviation of 15.What is the probability that a person would score 130 or more on the test?

As the size of the sample increases,what happens to the shape of the distribution of sample means?

Sampling error is defined as

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Linear Regression and Correlation

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters