Suppose that we fail to reject a null hypothesis at the 0.01 level of significance. Then for which of the following a-values do we also fail to reject the null hypothesis? А. 0.2 ОВ. 0.1 O C. 0.005 D. 0.015
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- A hypothesis test is performed in which the research (alternative) hypothesis states that more than 15% of a population are unemployed. The p-value for the test is calculated to be 0.018 (with the alpha = 0.05). Which of these statements is correct? A. We reject the null hypothesis and conclude that the research hypothesis is correct: more than 15% of the population are unemployed. B. We reject the null hypothesis and conclude that more than 18% of the population are unemployed. C. We fail to reject the null hypothesis and conclude that exactly 15% of the population are unemployed. D. We fail to reject the null hypothesis and conclude that exactly 85% of the population are unemployed.Only numbers 3 and 410% of all Americans suffer from sleep apnea. A researcher suspects that a higher percentage of those who live in the inner city have sleep apnea. Of the 302 people from the inner city surveyed, 36 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.05? For this study, we should use The null and alternative hypotheses would be: Ho: (please enter a decimal) H1: (Please enter a decimal) 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 population proportion is not significantly larger than 10% at αα = 0.05, so there is sufficient evidence to conclude that the population proportion of inner city residents who have sleep apnea is equal to 10%. The data suggest the population proportion is not…
- 7.On average, what value is expected for the t statistic when the null hypothesis is true? а. О с. 1.96 b. 1 d. t>1.96Suppose a group of 1000 smokers (who all wanted to give up smoking) were randomly assigned to receive an antidepressant drug or a placebo for six weeks. Of the 383 patients who received the antidepressant drug, 122 were not smoking one year later. Of the 617 patients who received the placebo, 106 were not smoking one year later. Given the null hypothesis H0: (pdrug−pplacebo)=0 and the alternative hypothesis Ha: (pdrug−pplacebo)≠0, conduct a test to see if taking an antidepressant drug can help smokers stop smoking. Use α=0.05, (a) The test statistic is (b) The P-value is (c) The final conclusion is A. There seems to be evidence that the patients taking the antidepressant drug have a different success rate of not smoking after one year than the placebo group. B. There is not sufficient evidence to determine whether the antidepressant drug had an effect on changing smoking habits after one year.A researcher administers a treatment to a sample of participants selected from a population with µ = 42. If the sample mean after the treatment is M = 48, which value of standard error, σM will result in the rejection of null hypothesis H0 with p < 0.05, 2-tails test?A. σM = 4B. σM = 3C. σM = 9D. σM = 7
- Suppose a group of 1000 smokers (who all wanted to give up smoking) were randomly assigned to receive an antidepressant drug or a placebo for six weeks. Of the 118 patients who received the antidepressant drug, 51 were not smoking one year later. Of the 882 patients who received the placebo, 319 were not smoking one year later. Given the null hypothesis H0:(pdrug−pplacebo)=0 and the alternative hypothesis Ha:(pdrug−pplacebo)≠0, conduct a test to see if taking an antidepressant drug can help smokers stop smoking. Use α=0.02, (a) The test statistic is (b) The P-value isYou run a one sample t-test on your data and get a p value of .003. That means that: you can reject the alternate hypothesis that your sample did not come from this population O you fail to reject the null hypothesis that your sample came from this population O you can reject the null hypothesis that your sample came from this population O you can accept the null hypothesis that your sample came from this populationSuppose that a researcher decides that he MUST obtain a Type 1 error level of no more than 0.01 in order to reject the null hypothesis. After analyzing his data he finds that the results are significant at p = 0.05 but not at p = 0.01. If he is not able to change the maximum allowed Type 1 error level, then the researcher should Question 5 options: retain the null hypothesis because 0.05 is greater than 0.01. retain the null hypothesis because 0.05 is merely sampling error. reject the null hypothesis because 0.05 is close to 0.01. reject the null hypothesis because 0.05 is greater than 0.01.
- Suppose you want to test the claim that 411.20 Refer to Exercise 11.18. Conduct a test of the null hypothesis that b1= 0. Use a =0.05.The recidivism rate for convicted sex offenders is 13%. A warden suspects that this percent is lower if the sex offender is also a drug addict. Of the 371 convicted sex offenders who were also drug addicts, 45 of them became repeat offenders. What can be concluded at the αα= 0.01 level of significance?For this study, we should use The null and alternative hypotheses would be: Ho: (please enter a decimal) H1: (Please enter a decimal)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 ααBased on this, we should the null hypothesis.Thus, the final conclusion is that ... The data suggest the population proportion is not significantly lower than 13% at αα= 0.01, so there is statistically insignificant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat offenders is lower than 13%.The data suggest the population proportion is not significantly…SEE MORE QUESTIONS