Determine the conclusion for the following hypothesis test (do you reject H0 or not. Does the data provide sufficient evidence to support Ha) P-value = 0.1008, significance level = 0.01 H0: 1=2 Ha: 1>2
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- When asked what it means for the result of a hypothesis test to be practically significant (or practically important), Tatum says this means that the P-value is small and the null hypothesis has been rejected. what is wrong about this?For the following cases, you may use either the P-value approach or the rejection region approach to present a full hypothesis test, including: Identifying the claim and H0 and Ha, Finding the appropriate standardized test statistic, Finding the P-value or the rejection region, Deciding whether to reject or fail to reject the null hypothesis, and Interpreting the decision in the context of the original claim. A guidance counselor claims that high school students in a college preparatory program score higher on the ACT test than those in a general program. The mean ACT score for a random sample of 49 students in the college preparatory program is 22.2 with a standard deviation of 4.8. The mean ACT score for a random sample of 46 students in the general program is 20.0 with a standard deviation of 5.4. Perform the appropriate test on the counselor’s claim with regard to the difference between the mean ACT scores at α = 0.10.When asked what it means for the result of a hypothesis test to be practically significant (or practically important), Tatum says this means that the P-value is small and the null hypothesis has been rejected. Why is Tatum wrong?
- For the given value of α and observed significance level (p -value), indicate whether the null hypothesis would be rejected.α = 0.01, p- value = 0.09 Reject H0 Fail to reject H0Under what circumstances is the t statistic used instead of the Z score for a hypothesis test?In performing a hypothesis T-test, the p-value was 0.00046 and the significance level was 5%. What is the conclusion? Is it a,b,or c? a. Reject the null hypothesis and accept the alternate hypothesis b. Accept both the null hypothesis and alternate hypothesis c. Fail to reject the null hypothesis
- For the following cases, you may use either the P-value approach or the rejection region approach to present a full hypothesis test, including: Identifying the claim and H0 and Ha, Finding the appropriate standardized test statistic, Finding the P-value or the rejection region, Deciding whether to reject or fail to reject the null hypothesis, and Interpreting the decision in the context of the original claim. The Western blot assay is a blood test for the presence of HIV. It has been found that the test sometimes gives false positive results for HIV. A medical researcher claims that the rate of false positives is 2%. A recent study of 300 randomly selected U.S. blood donors who do not have HIV found that 5 received a false positive test result. Perform the appropriate hypothesis test at α = 0.05.For the following cases, you may use either the P-value approach or the rejection region approach to present a full hypothesis test, including: Identifying the claim and H0 and Ha, Finding the appropriate standardized test statistic, Finding the P-value or the rejection region, Deciding whether to reject or fail to reject the null hypothesis, and Interpreting the decision in the context of the original claim. A city planner claims that the mean speed of westbound traffic along a road segment during morning peak hours is less than 50 miles per hour. In a random sample of 45 motor vehicles traveling westbound on the road segment during morning peak hours, the mean speed is 51 miles per hour. Assume the population standard deviation is 5 miles per hour. Perform the appropriate hypothesis test at α = 0.05.The following results are for two independent samples taken from the two populations. Sample 1 Sample 2 n1 = 40 n2 = 50 x-bar1 = 25.5 x-bar2 = 22.8 σ1 = 5.2 σ2 = 6.0 What is the value of the test statistic? What is the p-value? With α = 0.05, what is your hypothesis testing conclusion?
- Can you help me determine the P value for the following hypothesis test?The p- Value in hypothesis testing corresponds to the significance level where a critical value of the test statistic is the same as the calculated value. A. True B. FalseIf the level of significance for a test for independency was 5% and the p-value was 0.03, what would the conclusion be: a. Fail to reject the null hypothesis b. Reject the null hypothesis and accept the alternate hypothesis