Question 1

A sample of 92 observations is taken from a process (an infinite population). The sampling distribution of $\bar { X }$ is approximately normal because _____.

Accepted Answer

A)  $\bar { x }$ is always approximately normally distributed 
B)  the sample size is small in comparison to the population size 
C)  of the central limit theorem 
D)  None of the answers is correct. 
A)  $\bar { x }$ is always approximately normally distributed 
B)  the sample size is small in comparison to the population size 
C)  of the central limit theorem 
D)  None of the answers is correct.

Question 2

A sample of 66 observations will be taken from a process (an infinite population). The population proportion equals .12. The probability that the sample proportion will be less than .1768 is _____.

Accepted Answer

A)  .0568 
B)  .0778 
C)  .4222 
D)  .9222 
A)  .0568 
B)  .0778 
C)  .4222 
D)  .9222

Question 3

For a population with an unknown distribution, the form of the sampling distribution of the sample mean is _____.

Accepted Answer

A)  approximately normal for all sample sizes 
B)  exactly normal for large sample sizes 
C)  exactly normal for all sample sizes 
D)  approximately normal for large sample sizes 
A)  approximately normal for all sample sizes 
B)  exactly normal for large sample sizes 
C)  exactly normal for all sample sizes 
D)  approximately normal for large sample sizes

Question 4

The expected value of the random variable $\bar { x }$ is

Accepted Answer

A)  ? 
B)  the standard error 
C)  the sample size 
D)  ? 
A)  ? 
B)  the standard error 
C)  the sample size 
D)  ?

Question 5

The standard deviation of $\bar { x }$ is referred to as the _____.

Accepted Answer

A)  standard x 
B)  standard error of the mean 
C)  sample standard mean 
D)  sample mean deviation 
A)  standard x 
B)  standard error of the mean 
C)  sample standard mean 
D)  sample mean deviation

A sample of 92 observations is taken from a process (an infinite population). The sampling distribution of $\bar { X }$ is approximately normal because _____.

A sample of 66 observations will be taken from a process (an infinite population). The population proportion equals .12. The probability that the sample proportion will be less than .1768 is _____.

For a population with an unknown distribution, the form of the sampling distribution of the sample mean is _____.

The expected value of the random variable $\bar { x }$ is

The standard deviation of $\bar { x }$ is referred to as the _____.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

Exam 7: Sampling and Sampling Distributions

A sample of 92 observations is taken from a process (an infinite population). The sampling distribution of Xˉ\bar { X }Xˉ is approximately normal because _____.

A sample of 66 observations will be taken from a process (an infinite population). The population proportion equals .12. The probability that the sample proportion will be less than .1768 is _____.

For a population with an unknown distribution, the form of the sampling distribution of the sample mean is _____.

The expected value of the random variable xˉ\bar { x }xˉ is

The standard deviation of xˉ\bar { x }xˉ is referred to as the _____.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

A sample of 92 observations is taken from a process (an infinite population). The sampling distribution of $\bar { X }$ is approximately normal because _____.

The expected value of the random variable $\bar { x }$ is

The standard deviation of $\bar { x }$ is referred to as the _____.