Suppose you are testing a left tailed hypotheses. The rejection region for large sample test statistic z with a = 0.01 is z < -2.33 True False
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- A two-tailed test is performed at 95% confidence. The p-value is determined to be 0.0478. The null hypothesis must be rejected should not be rejected could be rejected, depending on the sample size has been designed incorrectlyDefine Large-Sample Distribution of the Two Stage Least Square Estimator, When the Instrument Is Not Valid?You wish to test the following claim (Ha) at a significance level of a 0.10. H.:p = 0.85 Ha:p < 0.85 You obtain a sample of size n = 324 in which there are 269 successful observations. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = %3D What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic =
- random sample of 25 business students required an average of 50.7 minutes to complete a statistics exam. Assume that the population standard deviation to complete the exam was 10.4 minutes. The 99% confidence interval around this sample mean isTwo different simple random samples are drawn from two different populations. The first sample consists of 40 people with 22 having a common attribute. The second sample consists of 1900 people with 1375 of them having the same common attribute.compare results from a hypothesis test of p1-=p2 with a 0.05 significance level and a 95% confidence interval estimate of p1-p2 .These are the summary statistics for independent simple random samples from two populations. x1=23, s1=2, n1=10, x2=29, s2=7, n2=25 Left tailed test, significance level is 0.05 or 95% What is the test statistic, critical value, and conclusion for the hypothesis test?
- Two different simple random samples are drawn from two different populations. The first sample consists of 40 people with 20 having a common attribute. The second sample consists of 1800 people with 1291 of them having the same attribute. Compare the results from a hypothesis test p1=p2 (with a 0.05 significance level) and a 95% confidence interval estimate of p1-p2. What are the null and alternative hypotheses for the hypothesis test?For a one-tailed (upper tail) hypothesis test with a sample size of 26 and a .01 level of significance, the critical value of the test statistic t isSuppose that 90% confidence interval for the difference between two proportions, p1-p2, is ( 0.013, 0.245). If we were testing the following hypotheses: H0: p1=p2 versus H1: p1≠p2 at the .10 significance level we would
