Find the​ P-value for a​ left-tailed hypothesis test with a test statistic of z=−1.43. Decide whether to reject H0 if the level of significance is α=0.05.       ​P-value=enter your response here ​(Round to four decimal places as​ needed.)

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The proportion of people who live after fighting cancer is 0.75. Suppose there is a new therapy that is used to increase the survival rate. Use the parameter p to represent the population portion of people who survive after fighting cancer. For a hypothesis test of the therapy’s effectiveness, researchers use a null hypothesis of p = 0.75. Pick the correct alternative hypothesis.  1. p > 0.75        2. p < 0.75          3. p 6= 0.75

A television show conducted an experiment to study what happens when buttered toast is dropped on the floor. When 51 buttered slices of toast were dropped, 33 of them landed with the buttered side up and 18 landed with the buttered side down. Use a 0.01 significance level to test the claim that toast will land with the buttered side down 50% of the time. Use the P-value method. Use the normal distribution as an approximation to the binomial distribution. After that, supposing the intent of the experiment was to assess the claim that toast will land with the buttered side down more than 50% of the time, write a conclusion that addresses the intent of the experiment.

Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p=0.6 versus H₁: p > 0.6 n = 200; x = 125; a = 0.05 Click here to view page 1 of the table. Click here to view page 2 of the table. Calculate the test statistic, Zo- Zo = (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to three decimal places as needed.) Choose the correct result of the hypothesis test for the P-value approach below. OA: Reject the null hypothesis, because the P-value is greater than α. OB. Reject the null hypothesis, because the P-value is less than α. OC. Do not reject the null hypothesis, because the P-value is greater than α. O D. Do not reject the null hypothesis, because the P-value is less than a. #3 80 F3 E $ 4 000 F4 R % 5 F5 T MacBook Air < 6 F6 Y & 7 AA F7 U * 0 8 DII F8 ( 9 DD F9 C I 0

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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…

In a​ one-tail hypothesis test where you reject H0 only in the lower ​tail, it was found that the p-value is 0.1469 if ZSTAT=−1.05. What is your statistical decision if you test the null hypothesis at the 0.05 level of​ significance?       Question content area bottom Part 1 Choose the correct answer below.     A. Reject the null hypothesis because the​ p-value is less than the level of significance.   B. Reject the null hypothesis because the​ p-value is greater than the level of significance.   C. Fail to reject the null hypothesis because the​ p-value is greater than the level of significance.   D. Fail to reject the null hypothesis because the​ p-value is less than the level of significance.