Exam 11: Estimation: Describing a Single Population

A marketing researcher wishes to determine the sample size needed to estimate the proportion of wine drinkers who prefer a certain brand of wine. How many wine drinkers should be surveyed if the researcher wants to be within 0.025 with 95% confidence?

(Essay)

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Question 121

The sample proportion is a biased estimator of the population proportion.

(True/False)

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Question 122

The z value for a 95% confidence interval estimate is:

(Multiple Choice)

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Question 123

In the formula $\bar { x } \pm z _ { d 2 } \sigma / \sqrt { n }$ , the subscript $\alpha / 2$ refers to the area in the lower tail or upper tail of the sampling distribution of the sample mean.

(True/False)

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Question 124

Which of the following best describes an unbiased estimator?

(Multiple Choice)

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Question 125

The width of a confidence interval increases as the level of significance increases.

(True/False)

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Question 126

What is the margin of error for a 99% confidence interval for the population proportion of people that own more than one mobile phone, if a random sample of 50 people was taken, and 10 of these had more than one mobile phone?

(Essay)

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Question 127

Showing 121 - 127 of 127

A marketing researcher wishes to determine the sample size needed to estimate the proportion of wine drinkers who prefer a certain brand of wine. How many wine drinkers should be surveyed if the researcher wants to be within 0.025 with 95% confidence?

The sample proportion is a biased estimator of the population proportion.

The z value for a 95% confidence interval estimate is:

In the formula $\bar { x } \pm z _ { d 2 } \sigma / \sqrt { n }$ , the subscript $\alpha / 2$ refers to the area in the lower tail or upper tail of the sampling distribution of the sample mean.

Which of the following best describes an unbiased estimator?

The width of a confidence interval increases as the level of significance increases.

What is the margin of error for a 99% confidence interval for the population proportion of people that own more than one mobile phone, if a random sample of 50 people was taken, and 10 of these had more than one mobile phone?

What Is Statistics

Types of Data, Data Collection and Sampling

Graphical Descriptive Methods Nominal Data

Graphical Descriptive Techniques Numerical Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Introduction

Sampling Distributions

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Inference About Population Variances

Analysis of Variance

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Techniques

Statistical Inference: Conclusion

Time-Series Analysis and Forecasting

Index Numbers

Decision Analysis

Filters

Exam 11: Estimation: Describing a Single Population

A marketing researcher wishes to determine the sample size needed to estimate the proportion of wine drinkers who prefer a certain brand of wine. How many wine drinkers should be surveyed if the researcher wants to be within 0.025 with 95% confidence?

The sample proportion is a biased estimator of the population proportion.

The z value for a 95% confidence interval estimate is:

In the formula xˉ±zd2σ/n\bar { x } \pm z _ { d 2 } \sigma / \sqrt { n }xˉ±zd2​σ/n​ , the subscript α/2\alpha / 2α/2 refers to the area in the lower tail or upper tail of the sampling distribution of the sample mean.

Which of the following best describes an unbiased estimator?

The width of a confidence interval increases as the level of significance increases.

What is the margin of error for a 99% confidence interval for the population proportion of people that own more than one mobile phone, if a random sample of 50 people was taken, and 10 of these had more than one mobile phone?

What Is Statistics

Types of Data, Data Collection and Sampling

Graphical Descriptive Methods Nominal Data

Graphical Descriptive Techniques Numerical Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Introduction

Sampling Distributions

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Inference About Population Variances

Analysis of Variance

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Techniques

Statistical Inference: Conclusion

Time-Series Analysis and Forecasting

Index Numbers

Decision Analysis

Filters

In the formula $\bar { x } \pm z _ { d 2 } \sigma / \sqrt { n }$ , the subscript $\alpha / 2$ refers to the area in the lower tail or upper tail of the sampling distribution of the sample mean.