Exam 9: Introduction to Estimation

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Can we conclude at the 1% significance level that the true proportion of physicians in the population who make at least $400,000 a year is less than 0.24?

(Essay)

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Question 61

The formula is used to find the ____________________ to estimate a population proportion.

(Short Answer)

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Question 62

If the population standard deviation is guesstimated, and it turned out to be smaller than you assumed, then the sample size you calculated is ____________________ than it needs to be.

(Short Answer)

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Question 63

A point estimator is defined as:

(Multiple Choice)

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Question 64

When a population is small, it is necessary to include the ____________________ factor in our hypothesis tests and confidence interval estimators for p.

(Short Answer)

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Question 65

An unbiased estimator of a population parameter is defined as:

(Multiple Choice)

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Question 66

The sample mean $The sample mean is a consistent estimator of the population mean \mu .$ is a consistent estimator of the population mean $\mu$ .

(True/False)

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Question 67

An estimator is said to be consistent if:

(Multiple Choice)

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Question 68

Is the sample mean a consistent estimator of the population mean? Explain

(Essay)

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Question 69

If there are two unbiased estimators of a parameter, the one whose variance is smaller is said to be relatively efficient.

(True/False)

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Question 70

Draw the sampling distribution of two unbiased estimators for $\mu$ , one of which is relatively efficient.

(Essay)

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Question 71

An interval estimator estimates the value of an unknown ____________________.

(Short Answer)

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Question 72

The test statistic for p is approximately normal when and are both greater than 5.

(Short Answer)

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Question 73

The sample proportion is a consistent estimator of the population proportion p because it is unbiased and the variance of is p(1 - p) / n, which grows smaller as n grows larger.

(True/False)

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Question 74

The sample variance (where you divide by n - 1) is an unbiased estimator of the population variance.

(True/False)

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Question 75

Statisticians can control the ____________________ of a confidence interval by determining the sample size necessary to produce the desired results.

(Short Answer)

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Question 76

An interval estimate is an estimate of the range for a sample statistic.

(True/False)

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Question 77

Draw a sampling distribution of a biased estimator for $\mu$ .

(Essay)

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Question 78

The sampling error for a confidence interval is also defined as the of .

(Short Answer)

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Question 79

Estimating or testing for p is used in situations when the data are ____________________.

(Short Answer)

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Question 80

Showing 61 - 80 of 85

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Can we conclude at the 1% significance level that the true proportion of physicians in the population who make at least $400,000 a year is less than 0.24?

The formula is used to find the ____________________ to estimate a population proportion.

If the population standard deviation is guesstimated, and it turned out to be smaller than you assumed, then the sample size you calculated is ____________________ than it needs to be.

A point estimator is defined as:

When a population is small, it is necessary to include the ____________________ factor in our hypothesis tests and confidence interval estimators for p.

An unbiased estimator of a population parameter is defined as:

The sample mean $The sample mean is a consistent estimator of the population mean \mu .$ is a consistent estimator of the population mean $\mu$ .

An estimator is said to be consistent if:

Is the sample mean a consistent estimator of the population mean? Explain

If there are two unbiased estimators of a parameter, the one whose variance is smaller is said to be relatively efficient.

Draw the sampling distribution of two unbiased estimators for $\mu$ , one of which is relatively efficient.

An interval estimator estimates the value of an unknown ____________________.

The test statistic for p is approximately normal when and are both greater than 5.

The sample proportion is a consistent estimator of the population proportion p because it is unbiased and the variance of is p(1 - p) / n, which grows smaller as n grows larger.

The sample variance (where you divide by n - 1) is an unbiased estimator of the population variance.

Statisticians can control the ____________________ of a confidence interval by determining the sample size necessary to produce the desired results.

An interval estimate is an estimate of the range for a sample statistic.

Draw a sampling distribution of a biased estimator for $\mu$ .

The sampling error for a confidence interval is also defined as the of .

Estimating or testing for p is used in situations when the data are ____________________.

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

Filters

Exam 9: Introduction to Estimation

Physicians: A random sample of 200 physicians shows that there are 36 of them who make at least $400,000 a year. -Can we conclude at the 1% significance level that the true proportion of physicians in the population who make at least $400,000 a year is less than 0.24?

The formula is used to find the ____________________ to estimate a population proportion.

If the population standard deviation is guesstimated, and it turned out to be smaller than you assumed, then the sample size you calculated is ____________________ than it needs to be.

A point estimator is defined as:

When a population is small, it is necessary to include the ____________________ factor in our hypothesis tests and confidence interval estimators for p.

An unbiased estimator of a population parameter is defined as:

The sample mean is a consistent estimator of the population mean μ\muμ .

An estimator is said to be consistent if:

Is the sample mean a consistent estimator of the population mean? Explain

If there are two unbiased estimators of a parameter, the one whose variance is smaller is said to be relatively efficient.

Draw the sampling distribution of two unbiased estimators for μ\muμ , one of which is relatively efficient.

An interval estimator estimates the value of an unknown ____________________.

The test statistic for p is approximately normal when ____________________ and ____________________ are both greater than 5.

The sample proportion is a consistent estimator of the population proportion p because it is unbiased and the variance of is p(1 - p) / n, which grows smaller as n grows larger.

The sample variance (where you divide by n - 1) is an unbiased estimator of the population variance.

Statisticians can control the ____________________ of a confidence interval by determining the sample size necessary to produce the desired results.

An interval estimate is an estimate of the range for a sample statistic.

Draw a sampling distribution of a biased estimator for μ\muμ .

The sampling error for a confidence interval is also defined as the ____________________ of ____________________.

Estimating or testing for p is used in situations when the data are ____________________.

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

Filters

The sample mean $The sample mean is a consistent estimator of the population mean \mu .$ is a consistent estimator of the population mean $\mu$ .

Draw the sampling distribution of two unbiased estimators for $\mu$ , one of which is relatively efficient.

The test statistic for p is approximately normal when and are both greater than 5.

Draw a sampling distribution of a biased estimator for $\mu$ .

The sampling error for a confidence interval is also defined as the of .