1-COVID-19 (novel corona virus) took the world by surprise in late…

Question Answered step-by-step 1-COVID-19 (novel corona virus) took the world by surprise in late… 1-COVID-19 (novel corona virus) took the world by surprise in late 2019. By early 2020, nearly all countries worldwide were affected.Early reports from the U.S. Centers for Disease Control and Prevention (CDC) estimated that approximately 29% of those infected with the corona virus were asymptomatic (showed no symptoms on the virus). The rate of asymptomatic infections is important, since such people can unwittingly spread the virus to those around them.Suppose that 23.8% of a recent sample of 462 infected individuals were found to be asymptomatic.Using a significance level of 0.5%, test the hypothesis that the proportion of all people infected with the corona virus and are asymptomatic is different than 29. Use the p-value method.State the null and alternative hypothesis for the test.Ho:?—-H1:?——Determine if the is left-tailed, right-tailed, or two-tailed.Should the standard normal (z) distribution or student’s (t) distribution be used for this test?-The standard normal (z) distribution should be used- The student’s t distribution should be used.Determine the test statistic for the hypothesis test. Round the solution to two decimal places.=—-Determine the p-value for the hypothesis test. Round the solution to four decimal places.=—-Determine the appropriate conclusion for this hypothesis test.- The sample data do not provide sufficient evidence to reject the null hypothesis that the proportion of all people infected with the corona virus and are asymptomatic is 0.29 and thus we conclude that the proportion of people that are infected with corona virus and are asymptomatic is likely equal to 0.29.- The sample data provide sufficient evidence to reject the alternative hypothesis that the protection of all people who are infected with the corona virus and are asymptomatic is different than 0.29 and thus we conclude that the proportion of people that are infected with corona virus and are asymptomatic is likely equal to 0.29-The data provide sufficient evidence to reject the null hypothesis that the proportion of all people infected with the corona virus and are asymptomatic is 0.29 and thus we conclude that the proportion of people that are infected with corona virus and asymptomatic is not equal to 0.29.- The sample data do not provide sufficient evidence to reject the alternative hypothesis that the proportion of all people who are infected with the corona virus and are asymptomatic is different than 0.29 and thus we conclude that the proportion of people that the proportion of people that are infected with corona virus and are asymptomatic is likely not equal to 0.29. 2-Determine the critical value (s) for a right a right-tailed hypothesis test for a mean with the following characteristics. Alpha = 0.01The sample size is 68The population standard deviation is known to be 6.9Should the t or z distribution be used the above scenario? -The student’s t t distribution should be used-The standard normal (z) distribution should be used The critical value (s) for the test are given by t or z? =—- 3- Suppose a two-tailed hypothesis test for a mean is conducted.The test statistic for the hypothesis test was calculated to be 0.41, derived from a sample of size 73.Determine the correct conclusion, given the result above. Assume the population standard deviation is unknown. Let alpha = 0.02Determine the correct conclusion, given the result above. Assume the population standard deviation is unknown. Let alpha = 0.02.-Reject Ho-Reject H1Fail to reject H1Fail to reject HoInterpret the above conclusion.- The sample data do not provide sufficient evidence to reject the null hypothesis and conclude that the alternative hypothesis is likely true.- the sample data do not provide sufficient evidence to reject the alternative hypothesis and conclude that the null hypothesis is likely true.- The sample data provide sufficient to reject the alternative hypothesis and conclude that a null hypothesis is likely true. – The sample data provide sufficient evidence to reject the null hypothesis and conclude the alternative hypothesis is likely true. -4- Calculate the critical t-value (s) for each of the given hypothesis test test scenarios below. If multiple critical values exist for a single scenario, enter the solutions using a comma-separated list. Round t-values to four decimal places.-Find the critical t-value (s) for a left-tailed test of hypothesis for a mean, assuming the population standard deviation is unknown, with a sample size of 14, and a significance level of 0.5%t = Find the critical t-value (s) for a right-tailed test of hypothesis for a mean, assuming the population standard deviation is known, with a sample size of 56, and a significance level of 1%t = Find the critical t-value (s) for a two-tailed test hypothesis for a mean, assuming the population standard deviation is unknown, with a sample size of 77, and a significance level of 5%t =—Find the critical t-value (s) for a two-tailed test of hypothesis for a mean, assuming the population standard deviation is unknown, with a sample size of 12, and a significance level of 10%  Math Statistics and Probability STA 2023 Share QuestionEmailCopy link Comments (0)