The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H0 when the level of significance is (a) α=0.01, (b) α=0.05, and (c) α=0.10. P=0.0413
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- A certain medication is supposed to contain a dosage of 250 mgper pill. A lab is quality testing the drug to determine if it contains the correctdosage, on average.A sample of 50 pills has average dosage 232 mg with standarddeviation 25 mg. At a 2% level of significance, perform the hypothesis test.A poll showed the approval rating to be 0.45 (45%). A second poll based on 2000 randomly selected voters showed that 886 approved of the job the president was doing . Do the results of the second poll indicate that the proportion of voters who approve of the job the president is doing is significantly lower than the original level? Explain . Assume the x = 0.05 level of significance . Find the test statistic for the hypothesis test.z=Suppose you conduct a hypothesis test to determine whether or not the average age difference between married couples is less than 5 years. You conduct this test at the 0.10 significance level and come to the conclusion that 0.01 < p-value < 0.02. What is the correct decision? Accept the Alternative Hypothesis Accept the Null Hypothesis Fail to Accept the Null Hypothesis Reject the Null Hypothesis Fail to Reject the Null Hypothesis
- Find the P-value for the indicated hypothesis test.In a sample of 47 adults selected randomly from Vancouver, it is found that 9 of them have been exposed to the flu. Find the P-value for a test of the claim that the proportion of all adults in Vancouver that have been exposed to this strain of the flu is more than 8%.Identify the null and alternative hypotheses. Identify the test statistic. Identify the P-value. Identify the conclusion for this hypothesis test.Use α = .05 Independent-samples t test: (a) develop a research question that can be addressed with independent-samples t test, making sure to state the null and alternative hypotheses (in words)
- Using the P-value method decide if you should reject the null hypothesis or not. In a sample of 81 adults selected randomly from one town, it is found that 8 of them have been exposed to a particular strain of the flu. At the 0.01 level of significance, you wish to test the proportion of all adults in the town that have been exposed to this strain of the flu is 8%Please show me your solutions and interpretations. Show the completehypothesis-testing procedure.The advertised claim for batteries for cell phones is set at 48 operating hours with proper charging procedures. A study of 5000 batteries is carried out and 15 stop operating prior to 48 hours. Do these experimental results support the claim that less than 0.2 percent of the company’s batteries will fail during the advertised time period, with proper charging procedures? Use a hypothesis-testing procedure with α = 0.01.A poll showed the approval rating to be .52 (52%). A second poll based on 2500 randomly selected voters showed that 1315 approved of the job the president was doing. Do the results of the second poll indicate that the proportion of voters who approve of the job the president is doing is significantly higher than the original level? Explain. Assume the x=0.01 level of significance. Find the test statistic for this hypothesis test. z=?
- A statistical test of hypothesis produces the P-value P = 0.0203. Will the null hypothesis be rejected at the 0.10 level of significance? ExplainFind the P-value for the indicated hypothesis test with the given standardized test statistic, z. Decide whether to reject H0 for the given level of significance α. Right-tailed test with test statistic z=1.96 and α= 0.1 P-value = Reject Ho Fail to reject Ho.Using the P-value method decide if you should reject the null hypothesis or not. In a sample of 81 adults selected from one town, it is found that 8 of them have been exposed to a particular strain of the flu. At 0.01 level of significance, you wish to test the claim that the proportion of all adults in the town that have been exposed to this strain of the flu is 8%.