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

Using the General Social Survey as an example, the concept of the sampling distribution allows us to link the sample of about respondents to the population of about ___ adult Americans.

(Multiple Choice)

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Question 21

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?

(Essay)

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Question 22

Statistics are characteristics of samples while are characteristics of ___.

(Multiple Choice)

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Question 23

For a simple random sample, each case and each combination of cases in the population must________.

(Multiple Choice)

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Question 24

In your own words, explain the purpose of inferential statistics. Include in your essay the concepts of sample, population, statistic, parameter, representativeness, and the principle of EPSEM. Make sure that you define each of these terms as you develop your essay.

(Essay)

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Question 25

If a sample is representative, it________.

(Multiple Choice)

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Question 26

When we use larger samples (N 100) we can assume a normal sampling distribution because of________.

(Multiple Choice)

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Question 27

The standard deviation of the sampling distribution is represented by which of the following symbol(s)?

(Multiple Choice)

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Question 28

What are the three distributions involved in every application of inferential statistics?

(Multiple Choice)

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Question 29

Cluster sampling often involves selecting________.

(Multiple Choice)

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Question 30

Of the three distributions used in inferential statistics, which is only theoretical?

(Multiple Choice)

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Question 31

When using systematic sampling, the researcher must________.

(Multiple Choice)

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Question 32

The sampling distribution and its characteristics are based upon________.

(Multiple Choice)

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Question 33

Which of the following is necessary to calculate the standard error of the mean?

(Multiple Choice)

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Question 34

I surveyed 48 randomly-selected residents of the apartment complex where I live to determine their voting habits. I can only use this information to generalize to all the residents if________.

(Multiple Choice)

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Question 35

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

(Multiple Choice)

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Question 36

The fundamental principle of probability sampling is that a sample selected by is very likely to be __.

(Multiple Choice)

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Question 37

Showing 21 - 37 of 37

Using the General Social Survey as an example, the concept of the sampling distribution allows us to link the sample of about respondents to the population of about ___ adult Americans.

Statistics are characteristics of samples while are characteristics of ___.

For a simple random sample, each case and each combination of cases in the population must________.

In your own words, explain the purpose of inferential statistics. Include in your essay the concepts of sample, population, statistic, parameter, representativeness, and the principle of EPSEM. Make sure that you define each of these terms as you develop your essay.

If a sample is representative, it________.

When we use larger samples (N 100) we can assume a normal sampling distribution because of________.

The standard deviation of the sampling distribution is represented by which of the following symbol(s)?

What are the three distributions involved in every application of inferential statistics?

Cluster sampling often involves selecting________.

Of the three distributions used in inferential statistics, which is only theoretical?

When using systematic sampling, the researcher must________.

The sampling distribution and its characteristics are based upon________.

Which of the following is necessary to calculate the standard error of the mean?

I surveyed 48 randomly-selected residents of the apartment complex where I live to determine their voting habits. I can only use this information to generalize to all the residents if________.

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

The fundamental principle of probability sampling is that a sample selected by is very likely to be __.

Introduction

Basic Descriptive Statistics Tables Percentages Rates and Ratios and Graphs

Measures of Central Tendency

Measures of Variation

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 for Nominal and Ordinal Level Variables

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

Using the General Social Survey as an example, the concept of the sampling distribution allows us to link the sample of about ____ respondents to the population of about _______ adult Americans.

Statistics are characteristics of samples while ________ are characteristics of ___________.

For a simple random sample, each case and each combination of cases in the population must________.

In your own words, explain the purpose of inferential statistics. Include in your essay the concepts of sample, population, statistic, parameter, representativeness, and the principle of EPSEM. Make sure that you define each of these terms as you develop your essay.

If a sample is representative, it________.

When we use larger samples (N 100) we can assume a normal sampling distribution because of________.

The standard deviation of the sampling distribution is represented by which of the following symbol(s)?

What are the three distributions involved in every application of inferential statistics?

Cluster sampling often involves selecting________.

Of the three distributions used in inferential statistics, which is only theoretical?

When using systematic sampling, the researcher must________.

The sampling distribution and its characteristics are based upon________.

Which of the following is necessary to calculate the standard error of the mean?

I surveyed 48 randomly-selected residents of the apartment complex where I live to determine their voting habits. I can only use this information to generalize to all the residents if________.

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

The fundamental principle of probability sampling is that a sample selected by________ is very likely to be __________.

Introduction

Basic Descriptive Statistics Tables Percentages Rates and Ratios and Graphs

Measures of Central Tendency

Measures of Variation

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 for Nominal and Ordinal Level Variables

Association Between Variables Measured at the Interval Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Using the General Social Survey as an example, the concept of the sampling distribution allows us to link the sample of about respondents to the population of about ___ adult Americans.

Statistics are characteristics of samples while are characteristics of ___.

The fundamental principle of probability sampling is that a sample selected by is very likely to be __.