The test statistic of z = 2.22 is obtained when testing the claim that p ne0.492. a . Identify the hypothesis test as being two-tailed, left-tailed, or right- tailed b. Find the P-value. c . Using a significance level of alpha = 0.01 , should we reject H_{0} or should we fail to reject H_{0} ?
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The test statistic of z = 2.22 is obtained when testing the claim that p ne0.492. a . Identify the hypothesis test as being two-tailed, left-tailed, or right- tailed b. Find the P-value. c . Using a significance level of alpha = 0.01 , should we reject H_{0} or should we fail to reject H_{0} ?
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- Use dataset HT_2448.xls. Using Excel, conduct a t-test (at the alpha = 0.10 significance level) on whether the mean of X2 is equal to 100. What do you conclude from this sample data? Is the population mean equal to 100?Group of answer choicesa-You reject the null hypothesis. You conclude that the population mean is equal to 100. b-You cannot reject the null hypothesis. You conclude that the population mean is not equal to 100. c-You reject the null hypothesis. You conclude that the population mean is not equal to 100.d-You cannot reject the null hypothesis. You conclude that the population mean is equal to 100. HT_2448.xls:X1 X2102.04 96.13100.47 97.63103.17 95.4295.09 104.41103.81 102.0895.36 103.33103.38 112.25100.26 96.9397.24 100.1999.61 102.7096.00 106.94100.69 102.29100.50 100.0098.81 97.6795.15 99.09100.01 98.57102.88 97.70101.36 108.11103.05 106.9496.17 104.3698.44…A survey about allergic reactions revealed that 84 out of randomly selected 158 people exhibit allergic symptoms. The percentage of the whole country is believed to be 25% for such allergic symptoms. Find the test statistic for hypothesis testing at right tail. (Sensitivity 0.00)A researcher is testing a hypothesis of a single mean. The critical t value for a = .05 and a two-tailed test is +2.0796. The observed t value from sample data is -2.92. The decision made by the researcher based on this information is to the null hypothesis. reject not reject redefine change the alternate hypothesis into restate
- Use dataset HT_2448.xls. Using Excel, conduct a t-test (at the alpha = 0.05 significance level) on whether the mean of X2 is equal to 100. What do you conclude from this sample data? Is the population mean equal to 100? Group of answer choices -You reject the null hypothesis. You conclude that the population mean is equal to 100. -You cannot reject the null hypothesis. You conclude that the population mean is not equal to 100. -You cannot reject the null hypothesis. You conclude that the population mean is equal to 100. -You reject the null hypothesis. You conclude that the population mean is not equal to 100. HT_2448.xls: X1 X2102.04 96.13100.47 97.63103.17 95.4295.09 104.41103.81 102.0895.36 103.33103.38 112.25100.26 96.9397.24 100.1999.61 102.7096.00 106.94100.69 102.29100.50 100.0098.81 97.6795.15 99.09100.01 98.57102.88 97.70101.36 108.11103.05 106.9496.17 104.3698.44…8 A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced A survey of owners of that tire design is conducted. From the 28 tires surveyed, the mean lifespan was 46,500 miles with a standard deviation of 9 800 miles Using alpha = 0.05 is the data highly inconsistent with the claim (conduct a hypothesis test- write out all the steps)? %3DTwo species of fish have similar phenotypes to each other, researchers wonder if they can classify these fish species based on their sizes. One species has mean size of 10cm, with standard deviation of 1. The other species has mean size of 12cm, with standard deviation of 2. Size of 15 fish from each species were measured. a) Which hypothesis testing method can be used to compare the mean size of the two populations? Perform the test for α = 0.01. How does result of this test help the researchers to decide if they can classify these fish species based on their sizes? b) What is the power of the test? How does power of the test help the researchers to decide if they can classify these fish species based on their sizes?
- Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given for Friday the 6th and Friday the 13th in the same month. Use the Wilcoxon signed-ranks test to test the claim that the matched pairs have differences that come from a population with median equal to zero at a significance level of alpha=0.10. What is the conclusion for this hypothesis test? Fri. 6th Fri. 13th 15WilcoxonCritT.pdf 8 7 11 10 10 11 9 7 10 12 12 14 ⒸA. Fail to reject HO. There is insufficient evidence to warrant rejection of the claim of no difference. OB. Reject H0. There is insufficient evidence to warrant rejection of the claim of no difference. O C. Fail to reject HO. There is sufficient evidence to warrant rejection of the claim of no difference. O D. Reject H0. There is sufficient evidence to warrant rejection of the claim of no difference. SUse the dataset "HT_3547.xls" and conduct a two-sample t-test using Excel. You'd like to test the null hypothesis that the means of the two samples (column A and column B) are the same. The alternative hypothesis is that they are not the same. You have no reason to believe that the standard deviations of the two samples are equal. Test at the alpha = 0.10 level. After using Excel, what do you conclude? Are the means the same? Group of answer choices You reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same. You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are different. You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same. You reject the null hypothesis. Therefore, you conclude that the means of the two populations are different. "HT_3547.xls X1 X296.97 97.8397.78 99.28102.88…A survey about allergic reactions revealed that 77 out of randomly selected 147 people exhibit allergic symptons. The percentage of the whole country is believed to be 40% for such allergic symptons. Please find the test statistic for hypothesis testing at right tail (sensitivity:0.00)
- Use dataset "HT_4143.xls" and conduct a two-sample t-test using Excel. You'd like to test the null hypothesis that the means of the two samples (column A and column B) are the same. The alternative hypothesis is that they are not the same. You have no reason to believe that the standard deviations of the two samples are equal. Test at the alpha = 0.10 level. After using Excel, what do you conclude? Are the means the same? Group of answer choices You reject the null hypothesis. Therefore, you conclude that the means of the two populations are different. You reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same. You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are different. You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same. HT_ 4143.xls: X1 X299.73 98.6995.93 98.9494.92 96.63100.52 99.16101.28…In a hypothesis test, the p-value was calculated as 0.025. If the level of significance is, a = 0.05, what is the decision regarding the null hypothesis test? Reject the null hypothesis.. Do not reject the null hypothesis. No definitive conclusion can be made. In a hypothesis, p-value and level of significance has no relationship.With the data collected, Dr Tian ran a test to see if there was a significant difference in the mean of X (a factor affecting the continued usage of e-learning communication) between male and female students. Take s12042516 as an example. Suggest the test that should be used and explain your reason. State the independent and dependent variables, underlying null and alternative hypotheses. Interpret the result and explain whether there is a significant gender difference. Based on the result and the choice of your X, suggest whether Dr Tian should use two different ways to motivate male and female students to use e-learning communication, respectively.