Exam 8: Confidence Interval Estimation

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The 95% confidence interval for the population mean $\mu$ ,given that the sample size n = 49 and the population standard deviation $\sigma = 7 \text {, is } \bar { X } \pm 1.96$

(True/False)

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Question 41

Two independent samples of sizes 50 and 50 are randomly selected from two populations to test the difference between the population means, $\mu _ { 1 } - \mu _ { 2 }$ )The sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ Is:

(Multiple Choice)

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Question 42

If you increase the confidence level,the confidence interval:

(Multiple Choice)

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Question 43

If the standard error of the sampling distribution of the sample proportion $\hat { pp }$ is 0.0324 for samples of size 200,then the population proportion must be 0.30.

(True/False)

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Question 44

In general,the paired-sample procedure is appropriate when the samples are naturally paired in some way and there is a reasonably large positive correlation between the pairs.In this case,the paired-sample procedure makes more efficient use of the data and generally results in narrower confidence intervals.

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Question 45

In developing confidence interval for the difference between two population means using two independent samples,we use the pooled estimate $s _ { p }$ in estimating the standard error of the sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ if the populations are normal with equal variances.

(True/False)

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Question 46

If you decrease the confidence level,the confidence interval .

(Multiple Choice)

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Question 47

The degrees of freedom for the t and chi-square distributions is a numerical parameter of the distribution that defines the precise shape of the distribution.

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Question 48

Two independent samples of sizes 20 and 25 are randomly selected from two normal populations with equal variances.In order to test the difference between the population means,the test statistic is:

(Multiple Choice)

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Question 49

When samples of size n are drawn from a population,then the sampling distribution of the sample mean $x$ is approximately normal,provided that n is reasonably large.

(True/False)

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Question 50

When we replace $\sigma$ With the sample standard deviation (s),we introduce a new source of variability and the sampling distribution becomes the:

(Multiple Choice)

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Question 51

Confidence intervals are a function of which of the following three things?

(Multiple Choice)

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Question 52

The general form of a confidence interval is:

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Question 53

Showing 41 - 53 of 53

The 95% confidence interval for the population mean $\mu$ ,given that the sample size n = 49 and the population standard deviation $\sigma = 7 \text {, is } \bar { X } \pm 1.96$

Two independent samples of sizes 50 and 50 are randomly selected from two populations to test the difference between the population means, $\mu _ { 1 } - \mu _ { 2 }$ )The sampling distribution of the sample mean difference $\bar { x } _ { 1 } - \bar { x } _ { 2 }$ Is:

If you increase the confidence level,the confidence interval:

If the standard error of the sampling distribution of the sample proportion $\hat { pp }$ is 0.0324 for samples of size 200,then the population proportion must be 0.30.

If you decrease the confidence level,the confidence interval .

The degrees of freedom for the t and chi-square distributions is a numerical parameter of the distribution that defines the precise shape of the distribution.

Two independent samples of sizes 20 and 25 are randomly selected from two normal populations with equal variances.In order to test the difference between the population means,the test statistic is:

When samples of size n are drawn from a population,then the sampling distribution of the sample mean $x$ is approximately normal,provided that n is reasonably large.

When we replace $\sigma$ With the sample standard deviation (s),we introduce a new source of variability and the sampling distribution becomes the:

Confidence intervals are a function of which of the following three things?

The general form of a confidence interval is:

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 8: Confidence Interval Estimation

The 95% confidence interval for the population mean μ\muμ ,given that the sample size n = 49 and the population standard deviation σ=7, is Xˉ±1.96\sigma = 7 \text {, is } \bar { X } \pm 1.96σ=7, is Xˉ±1.96

If you increase the confidence level,the confidence interval:

If the standard error of the sampling distribution of the sample proportion pp^\hat { pp }pp^​ is 0.0324 for samples of size 200,then the population proportion must be 0.30.

If you decrease the confidence level,the confidence interval .

The degrees of freedom for the t and chi-square distributions is a numerical parameter of the distribution that defines the precise shape of the distribution.

Two independent samples of sizes 20 and 25 are randomly selected from two normal populations with equal variances.In order to test the difference between the population means,the test statistic is:

When samples of size n are drawn from a population,then the sampling distribution of the sample mean xxx is approximately normal,provided that n is reasonably large.

When we replace σ\sigmaσ With the sample standard deviation (s),we introduce a new source of variability and the sampling distribution becomes the:

Confidence intervals are a function of which of the following three things?

The general form of a confidence interval is:

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

The 95% confidence interval for the population mean $\mu$ ,given that the sample size n = 49 and the population standard deviation $\sigma = 7 \text {, is } \bar { X } \pm 1.96$

If the standard error of the sampling distribution of the sample proportion $\hat { pp }$ is 0.0324 for samples of size 200,then the population proportion must be 0.30.

When samples of size n are drawn from a population,then the sampling distribution of the sample mean $x$ is approximately normal,provided that n is reasonably large.

When we replace $\sigma$ With the sample standard deviation (s),we introduce a new source of variability and the sampling distribution becomes the: