Question 1

Social scientists gather data from samples instead of populations because

Accepted Answer

A) samples are much larger and more complete. 
B) samples are more trustworthy. 
C) populations are often too large to test. 
D) samples are more meaningful and interesting. 
A) samples are much larger and more complete. 
B) samples are more trustworthy. 
C) populations are often too large to test. 
D) samples are more meaningful and interesting.

Question 2

There are about 70 million eligible voters in a society.A public opinion pollster has estimated their probable choices for the next president with a sample of 2,000 randomly selected citizens.In this example,the 2,000 citizens are a ____ and the 70 million eligible voters are a ____.

Accepted Answer

A) sampling distribution,sample distribution 
B) population,cluster 
C) cluster,proportion 
D) sample,population 
A) sampling distribution,sample distribution 
B) population,cluster 
C) cluster,proportion 
D) sample,population

Question 3

The sampling distribution links the ____ to the ____.

Accepted Answer

A) stratified,EPSEM 
B) statistical,empirical 
C) sample,population 
D) empirical,real 
A) stratified,EPSEM 
B) statistical,empirical 
C) sample,population 
D) empirical,real

Question 4

Samples are to populations as

Accepted Answer

A) big is to little. 
B) central tendency is to dispersion. 
C) measures are to variables. 
D) statistics are to parameters. 
A) big is to little. 
B) central tendency is to dispersion. 
C) measures are to variables. 
D) statistics are to parameters.

Question 5

By the theorems presented in the text,we know that the mean of a sampling distribution of sample means will be

Accepted Answer

A) the same as the population mean. 
B) close to the value of the sample mean. 
C) between the population and sample means in value. 
D) representative of the entire population. 
A) the same as the population mean. 
B) close to the value of the sample mean. 
C) between the population and sample means in value. 
D) representative of the entire population.

Question 6

In systematic random sampling,the researcher randomly selects

Accepted Answer

A) the first case and every kth case thereafter. 
B) cases following any systematic pattern. 
C) every other case. 
D) cases according to their scores. 
A) the first case and every kth case thereafter. 
B) cases following any systematic pattern. 
C) every other case. 
D) cases according to their scores.

Question 7

Define and distinguish between the sample distribution,the sampling distribution,and the population distribution.How are these three distributions related to each other in inferential statistics? What symbols are used to identify the means and standard deviations of each of the three distributions?

Accepted Answer

The answer of Define and distinguish between the sample distribution,the...

Question 8

A properly selected cluster sample is

Accepted Answer

A) quite small. 
B) non-probability. 
C) EPSEM. 
D) the population. 
A) quite small. 
B) non-probability. 
C) EPSEM. 
D) the population.

Question 9

A major limitation for stratified sampling is that

Accepted Answer

A) the samples so selected are not representative. 
B) it violates the rule of EPSEM. 
C) the samples are non-random. 
D) the exact composition of the population is usually unknown. 
A) the samples so selected are not representative. 
B) it violates the rule of EPSEM. 
C) the samples are non-random. 
D) the exact composition of the population is usually unknown.

Question 10

With a sample size of 75,a normal sampling distribution can be assumed if

Accepted Answer

A) the cases in the sample are homogeneous. 
B) the cases in the sample are heterogeneous. 
C) the population distribution is normal. 
D) the sample distribution is normal. 
A) the cases in the sample are homogeneous. 
B) the cases in the sample are heterogeneous. 
C) the population distribution is normal. 
D) the sample distribution is normal.

Question 11

Both the sample and the population distributions are empirical,which means that they are

Accepted Answer

A) theoretical. 
B) real. 
C) ordinal. 
D) stratifieD. 
A) theoretical. 
B) real. 
C) ordinal. 
D) stratifieD.

Question 12

The main problem with non-probability samples is that they

Accepted Answer

A) do not allow us to generalize to a population. 
B) are far too expensive. 
C) are much too large. 
D) can only be assembled using the technique of cluster sampling. 
A) do not allow us to generalize to a population. 
B) are far too expensive. 
C) are much too large. 
D) can only be assembled using the technique of cluster sampling.

Question 13

When we use larger samples (N > 100),we can assume a normal sampling distribution because of

Accepted Answer

A) common sense. 
B) the Central Limit Theorem. 
C) what we know about the population. 
D) what we know about the sample. 
A) common sense. 
B) the Central Limit Theorem. 
C) what we know about the population. 
D) what we know about the sample.

Question 14

A sampling technique that allows you to ensure proportional representativeness in a sample is

Accepted Answer

A) representative sampling. 
B) stratified sampling. 
C) systematic sampling. 
D) simple sampling. 
A) representative sampling. 
B) stratified sampling. 
C) systematic sampling. 
D) simple sampling.

Social scientists gather data from samples instead of populations because

There are about 70 million eligible voters in a society.A public opinion pollster has estimated their probable choices for the next president with a sample of 2,000 randomly selected citizens.In this example,the 2,000 citizens are a and the 70 million eligible voters are a .

The sampling distribution links the to the .

Samples are to populations as

By the theorems presented in the text,we know that the mean of a sampling distribution of sample means will be

In systematic random sampling,the researcher randomly selects

Define and distinguish between the sample distribution,the sampling distribution,and the population distribution.How are these three distributions related to each other in inferential statistics? What symbols are used to identify the means and standard deviations of each of the three distributions?

A properly selected cluster sample is

A major limitation for stratified sampling is that

With a sample size of 75,a normal sampling distribution can be assumed if

Both the sample and the population distributions are empirical,which means that they are

The main problem with non-probability samples is that they

When we use larger samples (N > 100),we can assume a normal sampling distribution because of

A sampling technique that allows you to ensure proportional representativeness in a sample is

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 6: Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Social scientists gather data from samples instead of populations because

There are about 70 million eligible voters in a society.A public opinion pollster has estimated their probable choices for the next president with a sample of 2,000 randomly selected citizens.In this example,the 2,000 citizens are a ____ and the 70 million eligible voters are a ____.

The sampling distribution links the ____ to the ____.

Samples are to populations as

By the theorems presented in the text,we know that the mean of a sampling distribution of sample means will be

In systematic random sampling,the researcher randomly selects

Define and distinguish between the sample distribution,the sampling distribution,and the population distribution.How are these three distributions related to each other in inferential statistics? What symbols are used to identify the means and standard deviations of each of the three distributions?

A properly selected cluster sample is

A major limitation for stratified sampling is that

With a sample size of 75,a normal sampling distribution can be assumed if

Both the sample and the population distributions are empirical,which means that they are

The main problem with non-probability samples is that they

When we use larger samples (N > 100),we can assume a normal sampling distribution because of

A sampling technique that allows you to ensure proportional representativeness in a sample is

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

There are about 70 million eligible voters in a society.A public opinion pollster has estimated their probable choices for the next president with a sample of 2,000 randomly selected citizens.In this example,the 2,000 citizens are a and the 70 million eligible voters are a .

The sampling distribution links the to the .