Vehicles Four families live on a cul-de-sac represent a very small population.The number of vehicles owned by each family is shown below: \[\begin{array} { | c | c | } \hline \text { Family } & \boldsymbol { x } \text { = Number of vehicles } \\ \hline \text { Ali } & 1 \\ \text { Brown } & 1 \\ \text { Cosby } & 2 \\ \text { Davis } & 3 \\ \hline \end{array}\] -Calculate the population mean.

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Exam 8: Sampling Distributions

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A simple random sample of 300 observations is taken from a population whose proportion A)What is the expected value of the sample proportion p? B)What is the standard error of the sample proportion p? C)What is the probability that the sample proportion p will be within $\pm$ 0.02 of the population proportion $\pi$ ?

(Short Answer)

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Question 101

Why is the central limit theorem basic to the concept of statistical inference?

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Question 102

In a given year,the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500.If a sample of 50 players was taken,then probability that the sample mean will be $192,000 or more is:

(Multiple Choice)

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Question 103

A videocassette rental store wants to know what proportion of its stock should include the Beta format VCR.A random sample of the owners of VCRs is suggested.Five hundred VCR owners are asked if they own the Beta or VHS format.Out of 500 interviewed,125 were owners of the Beta format.Presume that the true population proportion of Beta format VCRs is $\pi$ = 0.32.What is the probability that the sample proportion p will be within 0.04 of the true proportion of Beta format ownership?

(Short Answer)

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Question 104

Vehicles Four families live on a cul-de-sac represent a very small population.The number of vehicles owned by each family is shown below: Family = Number of ve hicles Ali 1 Brown 1 Cosby 2 Davis 3 -Describe the sampling distribution of sample means. Distribution is: Mean: SD:

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Question 105

A videocassette rental store wants to know what proportion of its stock should include the Beta format VCR.A random sample of the owners of VCRs is suggested.Five hundred VCR owners are asked if they own the Beta or VHS format.Out of 500 interviewed,125 were owners of the Beta format.Presume that the true population proportion of Beta format VCRs is $\pi$ = 0.32.Describe the sampling distribution of the proportion of Beta format ownership. Distribution is: Mean: SD:

(Short Answer)

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Question 106

Vehicles Four families live on a cul-de-sac represent a very small population.The number of vehicles owned by each family is shown below: Family = Number of vehicles Ali 1 Brown 1 Cosby 2 Davis 3 -Calculate the population mean.

(Short Answer)

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Question 107

Historically,a company that mails its monthly catalog to potential customers receives orders from 8 percent of the addresses.If 500 addresses are selected randomly from the last mailing,what is the probability that between 35 and 50 orders were received from this sample?

(Multiple Choice)

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Question 108

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Why is the central limit theorem basic to the concept of statistical inference?

In a given year,the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500.If a sample of 50 players was taken,then probability that the sample mean will be $192,000 or more is:

Vehicles Four families live on a cul-de-sac represent a very small population.The number of vehicles owned by each family is shown below: Family = Number of ve hicles Ali 1 Brown 1 Cosby 2 Davis 3 -Describe the sampling distribution of sample means. Distribution is: Mean: SD:

Vehicles Four families live on a cul-de-sac represent a very small population.The number of vehicles owned by each family is shown below: Family = Number of vehicles Ali 1 Brown 1 Cosby 2 Davis 3 -Calculate the population mean.

Historically,a company that mails its monthly catalog to potential customers receives orders from 8 percent of the addresses.If 500 addresses are selected randomly from the last mailing,what is the probability that between 35 and 50 orders were received from this sample?

A Preview of Business Statistics

Visual Description of Data

Statistical Description of Data

Data Collection and Sampling Methods

Probability: Review of Basic Concepts

Discrete Probability Distributions

Continuous Probability Distributions

Estimation From Sample Data

Hypothesis Tests Involving a Sample Mean or Proportion

Hypothesis Tests Involving Two Sample Means

Analysis of Variance Tests

Chi-Square Applications

Nonparametric Methods

Simple Linear Regression and Correlation

Multiple Regression and Correlation

Model Building

Models for Time Series and Forecasting

Decision Theory

Total Quality Management

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