Exhibit 9-3 n = 49 = 54.8 s = 28 HS1U1B10S1U1B0: $\mu$ 50 HS1U1B1aS1U1B0: $\mu$> 50 -Refer to Exhibit 9-3. The p-value is between

A) 0.01 to 0.025 B) 0.025 to 0.05 C) .05 to 0.1 D) 0.1 to 0.2 A) 0.01 to 0.025 B) 0.025 to 0.05 C) .05 to 0.1 D) 0.1 to 0.2

A) can be any value B) can be any positive value C) can be any value, negative or positive D) must be a number between zero and 1 A) can be any value B) can be any positive value C) can be any value, negative or positive D) must be a number between zero and 1

When the following hypotheses are being tested at a level of significance of $\alpha$ H0: $\mu$ 500 Ha: $\mu$ < 500 The null hypothesis will be rejected if the p-value is

A) $\alpha$ B) > $\alpha$ C) > $\alpha$/2 D) 1 - $\alpha$/2 A) $\alpha$ B) > $\alpha$ C) > $\alpha$/2 D) 1 - $\alpha$/2

Exam 9: Hypothesis Tests

Exhibit 9-3 n = 49 $Exhibit 9-3 n = 49 = 54.8 s = 28 H0: \mu 50 Ha: \mu > 50 -Refer to Exhibit 9-3. The p-value is between$ = 54.8 s = 28 H₀: $\mu$ $Exhibit 9-3 n = 49 = 54.8 s = 28 H0: \mu 50 Ha: \mu > 50 -Refer to Exhibit 9-3. The p-value is between$ 50 H_a: $\mu$ > 50 -Refer to Exhibit 9-3. The p-value is between

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Question 21

Consider the following hypothesis test: H_o: p = 0.5 H_a: p $\neq$ 0.5 A sample of 800 provided a sample proportion of 0.58. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value, and at 95% confidence, test the hypotheses.

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Question 22

For a lower bounds one-tailed test, the test statistic z is determined to be zero. The p-value for this test is

(Multiple Choice)

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Question 23

If a hypothesis is rejected at 95% confidence, it

(Multiple Choice)

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Question 24

In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

(Multiple Choice)

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Question 25

The average U.S. daily internet use at home is two hours and twenty minutes. A sample of 64 homes in Soddy-Daisy showed an average usage of two hours and 50 minutes with a standard deviation of 80 minutes. We are interested in determining whether or not the average usage in Soddy-Daisy is significantly different from the U.S. average. a.State the null and alternative hypotheses to be tested. b.Compute the test statistic. c.The null hypothesis is to be tested at 95% confidence. Determine the critical value(s) for this test. d.What do you conclude?

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Question 26

In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5. The p-value for this test is

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Question 27

Exhibit 9-4 The manager of a grocery store has taken a random sample of 100 customers. The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes. We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes. -Refer to Exhibit 9-4. The p-value is between

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Question 28

The error of rejecting a true null hypothesis is

(Multiple Choice)

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Question 29

For a two-tailed test, a sample of 20 at 80% confidence, t =

(Multiple Choice)

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Question 30

A law enforcement agent believes that at least 88% of the drivers stopped on Saturday nights for speeding are under the influence of alcohol. A sample of 66 drivers who were stopped for speeding on a Saturday night was taken. Eighty percent of the drivers in the sample were under the influence of alcohol. a.State the null and alternative hypotheses. b.Compute the test statistic. c.Using the p-value approach, test the hypotheses at the .05 level of significance.

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Question 31

The average gasoline price of one of the major oil companies has been $2.20 per gallon. Because of cost reduction measures, it is believed that there has been a significant reduction in the average price. In order to test this belief, we randomly selected a sample of 36 of the company's gas stations and determined that the average price for the stations in the sample was $2.14. Assume that the standard deviation of the population ( $\sigma$ ) is $0.12. a.State the null and the alternative hypotheses. b.Compute the test statistic. c.What is the p-value associated with the above sample results? d.At 95% confidence, test the company's claim.

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Question 32

The average price of homes sold in the U.S. in 2012 was $240,000. A sample of 144 homes sold in Chattanooga in 2012 showed an average price of $246,000. It is known that the standard deviation of the population ( $\sigma$ ) is $36,000. We are interested in determining whether or not the average price of homes sold in Chattanooga is significantly more than the national average. a.State the null and alternative hypotheses to be tested. b.Compute the test statistic. c.The null hypothesis is to be tested at 95% confidence. Determine the critical value(s) for this test. d.What do you conclude?

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Question 33

In hypothesis testing if the null hypothesis is rejected,

(Multiple Choice)

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Question 34

The p-value

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Question 35

A lathe is set to cut bars of steel into lengths of 6 centimeters. The lathe is considered to be in perfect adjustment if the average length of the bars it cuts is 6 centimeters. A sample of 121 bars is selected randomly and measured. It is determined that the average length of the bars in the sample is 6.08 centimeters with a standard deviation of 0.44 centimeters. a.Formulate the hypotheses to determine whether or not the lathe is in perfect adjustment. b.Compute the test statistic. c.Using the p-value approach, what is your conclusion? Let $\alpha$ = .05.

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Question 36

Consider the following hypothesis test: H_o: P 0.8 H_a: P > 0.8 A sample of 400 provided a sample proportion of 0.853. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value; and at 95% confidence, test the above hypotheses.

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Question 37

In hypothesis testing, the tentative assumption about the population parameter is

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Question 38

When the following hypotheses are being tested at a level of significance of $\alpha$ H₀: $\mu$ $When the following hypotheses are being tested at a level of significance of \alpha H0: \mu 500 Ha: \mu < 500 The null hypothesis will be rejected if the p-value is$ 500 H_a: $\mu$ < 500 The null hypothesis will be rejected if the p-value is

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Question 39

Last year, 50% of MNM, Inc. employees were female. It is believed that there has been a reduction in the percentage of females in the company. This year, in a random sample of 400 employees, 180 were female. a.Give the null and the alternative hypotheses. b. b.At 95% confidence using the critical value approach, determine if there has been a significant reduction in the proportion of females. c.Show that the p-value approach results in the same conclusion as that of Part

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Question 40

Showing 21 - 40 of 148

Consider the following hypothesis test: H_o: p = 0.5 H_a: p $\neq$ 0.5 A sample of 800 provided a sample proportion of 0.58. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value, and at 95% confidence, test the hypotheses.

For a lower bounds one-tailed test, the test statistic z is determined to be zero. The p-value for this test is

If a hypothesis is rejected at 95% confidence, it

In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5. The p-value for this test is

The error of rejecting a true null hypothesis is

For a two-tailed test, a sample of 20 at 80% confidence, t =

In hypothesis testing if the null hypothesis is rejected,

The p-value

Consider the following hypothesis test: H_o: P 0.8 H_a: P > 0.8 A sample of 400 provided a sample proportion of 0.853. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value; and at 95% confidence, test the above hypotheses.

In hypothesis testing, the tentative assumption about the population parameter is

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

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

Index Numbers

Decision Analysis on Website

Sample Survey on Website

Filters

Exam 9: Hypothesis Tests

Exhibit 9-3 n = 49 = 54.8 s = 28 H0: μ\muμ 50 Ha: μ\muμ > 50 -Refer to Exhibit 9-3. The p-value is between

Consider the following hypothesis test: Ho: p = 0.5 Ha: p ≠\neq= 0.5 A sample of 800 provided a sample proportion of 0.58. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value, and at 95% confidence, test the hypotheses.

For a lower bounds one-tailed test, the test statistic z is determined to be zero. The p-value for this test is

If a hypothesis is rejected at 95% confidence, it

In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5. The p-value for this test is

The error of rejecting a true null hypothesis is

For a two-tailed test, a sample of 20 at 80% confidence, t =

In hypothesis testing if the null hypothesis is rejected,

The p-value

Consider the following hypothesis test: Ho: P 0.8 Ha: P > 0.8 A sample of 400 provided a sample proportion of 0.853. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value; and at 95% confidence, test the above hypotheses.

In hypothesis testing, the tentative assumption about the population parameter is

When the following hypotheses are being tested at a level of significance of α\alphaα H0: μ\muμ 500 Ha: μ\muμ < 500 The null hypothesis will be rejected if the p-value is

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Test of Independence and Goodness of Fit

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

Index Numbers

Decision Analysis on Website

Sample Survey on Website

Filters

Consider the following hypothesis test: H_o: p = 0.5 H_a: p $\neq$ 0.5 A sample of 800 provided a sample proportion of 0.58. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value, and at 95% confidence, test the hypotheses.

Consider the following hypothesis test: H_o: P 0.8 H_a: P > 0.8 A sample of 400 provided a sample proportion of 0.853. a.Determine the standard error of the proportion. b.Compute the value of the test statistic. c.Determine the p-value; and at 95% confidence, test the above hypotheses.