proportion of women favoring stricter gun control is higher than the proportion of men favoring stricter gun control. Use a significance level of 0.05. The test statistic is: (rounded to 2 decimal places) The p-value is: (rounded to 4 decimal places) The Conclusion is type R (Reject the Null) or F (Fail to Reject the Null)
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- A computer manufacturer believes that the proportion of hardware malfunctions is different in humid climates than in dry climates. To test this claim, the manufacturer takes a random sample of 400 machines sold in Florida (humid) and 400 machines sold in Arizona (dry). The manufacturer finds that 44 of the machines in Florida and 24 of the machines in Arizona had hardware malfunctions. 1.Compute the p-value. 2. Does the evidence support the computer manufacturer's claim at the 10% significance level?A computer manufacturer believes that the proportion of hardware malfunctions is different in humid climates than in dry climates. To test this claim, the manufacturer takes a random sample of 400 machines sold in Florida (humid) and 400 machines sold in Arizona (dry). The manufacturer finds that 44 of the machines in Florida and 24 of the machines in Arizona had hardware malfunctions. Calculate the value of the relevant test statistic. Compute the p-value. Does the evidence support the computer manufacturer's claim at the 10% significance level?A home improvement company is interested in improving customer satisfaction rate from the 51% currently claimed. The company sponsored a survey of 136 customers and found that 76 customers were satisfied. What is the test statistic z? What is the p-value? Does sufficient evidence exist that the customer satisfaction rate is different than the claim by the company at a significance level of α=0.1? Select: _____ Yes OR _____ No
- A computer manufacturer believes that the proportion of hardware malfunctions is different in humid climates than in dry climates. To test this claim, the manufacturer takes a random sample of 400 machines sold in Florida (humid) and 400 machines sold in Arizona (dry). The manufacturer finds that 44 of the machines in Florida and 24 of the machines in Arizona had hardware malfunctions. d. Does the evidence support the computer manufacturer's claim at the 10% significance level?In order for a candy company to claim that a bridge mix is mostly chocolate stars, a proportion of at least 0.8 of the packages must contain 3 ounces or more of chocolate stars. Quality control tests a random sample of 50 packages to determine if the proportion is less than 0.8 at a significance level of 0.05. Use Sheet 6 of the Excel file to calculate p^, the z-score, and the p-valueIn a previous poll, 43% of adults with children under the age of 18 reported that their family ate dinner together seven nights a week. Suppose that, in a more recent poll, 470 of 1145 adults with children under the age of 18 reported that their family ate dinner together seven nights a week. Is there sufficient evidence that the proportion of families with children under the age of 18 who eat dinner together seven nights a week has decreased? Use the α=0.01 significance level. Find the test statistic, z0.
- Nationally, patients who go to the emergency room wait an average of 6 hours to be admitted into the hospital. Do patients at rural hospitals have a higher waiting time? The 15 randomly selected patients who went to the emergency room at rural hospitals waited an average of 7.5 hours to be admitted into the hospital. The standard deviation for these 15 patients was 2.5 hours. What can be concluded at the the αα = 0.05 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: H1:H1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean awaiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is…Nationally, patients who go to the emergency room wait an average of 7 hours to be admitted into the hospital. Do patients at rural hospitals have a lower waiting time? The 15 randomly selected patients who went to the emergency room at rural hospitals waited an average of 5.9 hours to be admitted into the hospital. The standard deviation for these 15 patients was 1.4 hours. What can be concluded at the the αα = 0.05 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: H1:H1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean awaiting time to be admitted into the hospital from the emergency room for patients at rural hospitals is…A college administrator wanted to know if the proportion of students who request online classes, lab classes, or lecture classes was different at two different campuses. At each campus, the administrator took a random sample of 250 students and asked each student which type of class they preferred. The conditions for the appropriate test were verified, and the chi-square test statistic for the test was calculated to be 4.01 with an associated p-value of 0.1347. If the significance level of the test was α=.05, what conclusion should the college administrator make about the proportion of students who request online classes, lab classes, or lecture classes at two different campuses? There is convincing statistical evidence to suggest that the proportion of students who request certain classes is the same at each campus. A There is convincing statistical evidence to suggest that the proportion of students who request certain classes is different at each campus. B…
- Nationally, patients who go to the emergency room wait an average of 5 hours to be admitted into the hospital. Do patients at rural hospitals have a different waiting time? The 13 randomly selected patients who went to the emergency room at rural hospitals waited an average of 3.4 hours to be admitted into the hospital. The standard deviation for these 13 patients was 2.9 hours. What can be concluded at the the α = 0.01 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: H0: H1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is α Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the population mean is not significantly different from 5 at α = 0.01, so there is statistically insignificant evidence to conclude that the population mean…Nationally, patients who go to the emergency room wait an average of 7 hours to be admitted into the hospital. Do patients at rural hospitals have a higher waiting time? The 14 randomly selected patients who went to the emergency room at rural hospitals waited an average of 7.1 hours to be admitted into the hospital. The standard deviation for these 14 patients was 1.7 hours. What can be concluded at the the αα = 0.01 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: H1:H1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the populaton mean is significantly higher than 7 at αα = 0.01, so there is statistically significant evidence to conclude that the…A sample of 45 households reveals that 23% have traveled overseas. Is this significantly different from a hypothesized value of 30%, which characterizes the entire country? Use a significance level of 0.05. Write down the null and alternative hypotheses, find the test statistic and the p-value, and state your conclusion.