iven claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion nat addresses the original claim. A safety administration conducted crash tests of child booster seats for cars. Listed below are results from hose tests, with the measurements given in hic (standard head injury condition units). The safety requirement s that the hic measurement should be less than 1000 hic. Use a 0.01 significance level to test the claim that he sample is from a population-with a mean less than 1000 hic. Do the results suggest that all of the child booster seats meet the specified requirement? 718 765 1240 668 650 627 ..... Identify the test statistic. (Round to three decimal places as needed.) Identify the P-value. The P-value is (Round to four decimal places as needed.) State the final conclusion that addresses the original claim. Ho. There is evidence to support the claim that the sample is from a population with a mean less than 1000 hic. What do the results suggest about the child booster seats meeting the specified requirement?

ssume a significance level of alpha equals 0.05   and use the given information to complete parts​ (a) and​ (b) below.   Original​ claim: The mean pulse rate​ (in beats per​ minute) of a certain group of adult males is 71   bpm. The hypothesis test results in a​ P-value of 0.0099 . a. State a conclusion about the null hypothesis.​ (Reject Upper H 0   or fail to reject Upper H 0 ​.) Choose the correct answer below.     A. Reject   Upper H 0   because the​ P-value is less than or equal to   alpha .   B. Fail to reject   Upper H 0   because the​ P-value is less than or equal to   alpha .   C. Reject   Upper H 0   because the​ P-value is greater than   alpha .   D. Fail to reject   Upper H 0   because the​ P-value is greater than   alpha . b. Without using technical​ terms, state a final conclusion that addresses the original claim. Which of the following is the correct​ conclusion?     A. There is not…

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You wish to test the following claim (Ha) at a significance level of a = 0.02. Ho: p=0.51 Ha:p> 0.51 You obtain a sample of size n = 632 in which there are 350 successful observations. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value= What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic =

Assume that the significance level is a = 0.01. Use the given statement to find the critical value(s). The test statistic of z = - 1.66 is obtained when testing the claim that p =: Click here to view page 1 of the Normal table. Click here to view page 2 of the Normal table. The critical value(s) is/are. (Round to three decimal places as needed. Use a comma to separate answers as needed.)

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Assume that the significance level is α=0.1. Use the given information to find the​ P-value and the critical​ value(s).The test statistic of z=1.81 is obtained when testing the claim that p>0.2.Click here to view page 1 of the Normal table. LOADING...  Click here to view page 2 of the Normal table. LOADING...Question content area bottomPart 1​P-value=enter your response here ​(Round to four decimal places as​ needed.)Part 2The critical​ value(s) is/are z=enter your response here.​(Round to two decimal places as needed. Use a comma to separate answers as​ needed.)

Find the test statistic: Determine the​ P-value: State the final conclusion that addresses the original claim:

Can you please help me with this statistics last math problem? Thank you!

Answer the following to summarize the test of the hypothesis that there is no dependence between the two variables color vision of participant and trial outcome. For your test, use the 0.05 level of significance. a. Find the value of the test statistic. (Round to two or more decimal places.) b. Find the critical value for a test at the 0.05 level of significance. (Round to two or more decimal places.) c. Can we reject the hypothesis that there is no dependence between the variables color vision of participant and trial outcome? Use the 0.05 level of significance.