Given the two independent samples below, conduct a hypothesis test for the desired scenario. Assume all populations are approximately normally distributed. Sample 1 Sample 2 n1 = 861 n2 = 867 381 x2 = 285 %3D S1 = 150 S2 = 180 Test the claim: Given the null and alternative hypotheses below, conduct a hypothesis test for a = 0.05. Tnt = I1 :0H

Use the given information to find the ​p-value. ​Also, use a 0.05 significance level and state the conclusion about the null hypothesis​ (reject the null hypothesis or fail to reject the null​ hypothesis).   With  H 1​: p≠​0.377, the test statistic is z=3.06.

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Use technology to find the P-value for the hypothesis test described below. The claim is that for 12 AM body temperatures, the mean is µ> 98.6°F. The sample size is n = 9 and the test statistic is t= 1.911. P-value = (Round to three decimal places as needed.)

Find the P-value for the indicated hypothesis test. Round all proportions and standard scores to two decimal places.In a sample of 47 adults selected randomly from one town, it is found that 10 of them have been exposed to a particular strain of the flu. Find the P-value for a test of the claim that the proportion of all adults in the town that have been exposed to this strain of the flu is 8%.

State the Result: A hypothesis test was conducted at the alpha = 0.01 level of significance. The test resulted in a p-value of 0.044.

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Use technology to find the​ P-value for the hypothesis test described below.   The claim is that for 12 AM body​ temperatures, the mean is μ>98.6°F. The sample size is n=8 and the test statistic is t=1.289. ​P-value=   nothing ​(Round to three decimal places as​ needed.)

Describe type I and type II errors for a hypothesis test of the indicated claim. A furniture store claims that at least 40% of its new customers will return to buy their next piece of furniture. Describe the type I error. Choose the correct answer below. OA. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0.40, but you fail to reject Ho: p20.40. OB. A type I error will occur when the actual proportion of new customers who return to buy their next piece furniture is at least 0.40, but you reject Ho: p20.40. OC. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0.40, but you reject Ho: p ≤ 0.40. OD. A type I error will occur when the actual proportion of new customers who return to buy their next piece f furniture is no more than 0.40, but you fail to reject Ho: p ≤0.40. Describe the type II error. Choose the correct answer…