Exam 9: Hypothesis Tests

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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. At 95% confidence, it can be concluded that the mean of the population is

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The p-value is a probability that measures the support (or lack of support) for the

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The level of significance

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Exhibit 9-7 A random sample of 16 statistics examinations from a large population was taken. The average score in the sample was 78.6 with a variance of 64. We are interested in determining whether the average grade of the population is significantly more than 75. Assume the distribution of the population of grades is normal. -Refer to Exhibit 9-7. The p-value is between

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For a one-tailed test (lower tail) at 93.7% confidence, Z =

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It is said that more males register to vote in a national election than females. A research organization selected a random sample of 300 registered voters and reported that 165 of the registered voters were male. a.Formulate the hypotheses for this problem. b.Compute the standard error of  It is said that more males register to vote in a national election than females. A research organization selected a random sample of 300 registered voters and reported that 165 of the registered voters were male. a.Formulate the hypotheses for this problem. b.Compute the standard error of   .  c.Compute the test statistic. d.Using the p-value approach, can you conclude that more males registered to vote than females? Let  \alpha  = .05. . c.Compute the test statistic. d.Using the p-value approach, can you conclude that more males registered to vote than females? Let α\alpha = .05.

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The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year. It is believed that the recession has led to a reduction in the average work week. To test the validity of this belief, the hypotheses are

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For a one-tailed test (lower tail), a sample size of 10 at 90% confidence, t =

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The probability of making a Type I error is denoted by

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The probability of making a Type II error is denoted by

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Exhibit 9-2 n = 64  Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54 -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should = 50 s = 16 H0: μ\mu  Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54 -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should 54 Ha: μ\mu < 54 -Refer to Exhibit 9-2. If the test is done at 95% confidence, the null hypothesis should

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Given the following information, the test statistic is n = 49  Given the following information, the test statistic is n = 49   = 50 S = 7 H<sub>o</sub>:  \mu  > 52 H<sub>a</sub>:  \mu  < 52 The test statistic for the above information is = 50 S = 7 Ho: μ\mu > 52 Ha: μ\mu < 52 The test statistic for the above information is

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Exhibit 9-5 A random sample of 100 people was taken. Eighty-five of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%. -Refer to Exhibit 9-5. At 95% confidence, it can be concluded that the proportion of the population in favor of candidate A

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Ahmadi, Inc. has been manufacturing small automobiles that have averaged 50 miles per gallon of gasoline in highway driving. The company has developed a more efficient engine for its small cars and now advertises that its new small cars average more than 50 miles per gallon in highway driving. An independent testing service road-tested 64 of the automobiles. The sample showed an average of 51.5 miles per gallon with a standard deviation of 4 miles per gallon. a.Formulate the hypotheses to determine whether or not the manufacturer's advertising campaign is legitimate. b.Compute the test statistic. c.What is the p-value associated with the sample results and what is your conclusion? Let α\alpha = .05.

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Exhibit 9-2 n = 64  Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54 -Refer to Exhibit 9-2. The test statistic equals = 50 s = 16 H0: μ\mu  Exhibit 9-2 n = 64   = 50 s = 16 H<sub>0</sub>:  \mu   54 H<sub>a</sub>:  \mu  < 54 -Refer to Exhibit 9-2. The test statistic equals 54 Ha: μ\mu < 54 -Refer to Exhibit 9-2. The test statistic equals

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In the hypothesis testing procedure, α\alpha is

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Confirmed cases of West Nile virus in birds for a sample of six counties in the state of Georgia are shown below.  Confirmed cases of West Nile virus in birds for a sample of six counties in the state of Georgia are shown below.   We are interested in testing the following hypotheses regarding these data: H<sub>0</sub>:  \mu    3 H<sub>a</sub>:  \mu  > 3  a.Compute the mean and the standard deviation of the sample. b.Compute the standard error of the mean. c.Determine the test statistic. d.Determine the p-value and at 95% confidence, test the hypotheses. We are interested in testing the following hypotheses regarding these data: H0: μ\mu  Confirmed cases of West Nile virus in birds for a sample of six counties in the state of Georgia are shown below.   We are interested in testing the following hypotheses regarding these data: H<sub>0</sub>:  \mu    3 H<sub>a</sub>:  \mu  > 3  a.Compute the mean and the standard deviation of the sample. b.Compute the standard error of the mean. c.Determine the test statistic. d.Determine the p-value and at 95% confidence, test the hypotheses. 3 Ha: μ\mu > 3 a.Compute the mean and the standard deviation of the sample. b.Compute the standard error of the mean. c.Determine the test statistic. d.Determine the p-value and at 95% confidence, test the hypotheses.

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From a population of cans of coffee marked "12 ounces," a sample of 50 cans was selected and the contents of each can were weighed. The sample revealed a mean of 11.8 ounces with a standard deviation of 0.5 ounces. a.Formulate the hypotheses to test to see if the mean of the population is at least 12 ounces. b.Compute the test statistic. c.Using the p-value approach, what is your conclusion? Let α\alpha = .05.

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The average starting salary of students who graduated from colleges of Business in 2009 was $48,400. A sample of 100 graduates of 2010 showed an average starting salary of $50,000. Assume the standard deviation of the population is known to be $8,000. We want to determine whether or not there has been a significant increase in the starting salaries. 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 for this test. d.What do you conclude? e.Compute the p-value.

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Which of the following does not need to be known in order to compute the p-value?

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