Match the alternative hypothesis shown below with its graph to the right. Then state the null hypothesis and sketch its graph. Ha>5
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- Kenya is a behavioral psychologist who works with children on the Autism Spectrum. She suggests that blowing bubbles may effect children's eye contact (she hasn't predicted if it would increase or decrease). She works with a student who makes 5 points of eye contact in a session. How would the NULL hypothesis be state for her study using bubbles? µ < 5 µ = 5 µ > 5 µ ≠ 5Don't answer if you already answered this. If i see the same solutions, i'll downvote you. Follow the instructions. Typewritten for upvote. No upvote for handwritten. Thank youThe graph portrays the decision criterion for a hypothesis test for a population mean. The null hypothesis is H:u=µ. The curve is the normal curve for the test statistic under the assumption that the null hypothesis is true. Use the graph to solve the problem. A graphical display of the decision criterion follows. do 0.9 Do not reject H Reject H, 0.8- 0.7- 0.6- 05- 04 0.3- 0.2- 0.1- !0.014 -059 0.59 L18 137 236 295 3.54 2.197 Determine the rejection region. O0.014 02.197 O All z-scores that lie to the right of 2.197 OAll 2-scores that lie to the left of 2.197
- University officials hope that changes they have made have improved the retention rate. Last year, a sample of 2019 freshmen showed that 1555 returned as sophomores. This year, 1661 of 2096 freshmen sampled returned as sophomores. Determine if there is sufficient evidence at the 0.10 level to say that the retention rate has improved. Let last year's freshmen be Population 1 and let this year's freshmen be Population 2. Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below. Step 2 of 3: Compute the value of the test statistic. Round your answer to two decimal places Step 3 of 3: Draw a conclusion and interpret the decision.For the situation described below, state the null hypothesis, Ho, and the alternative hypothesis, H, to be tested. (Enter != for # as needed.) A statistical test is designed to show that the proportionp of defectives has decreased below 0.6%. Ho: 0.6 H: 0.6Scientist Irish used a paired t-test to test the effectiveness of a drug she is developing. She obtained a p-value = 0.005 (she used α = 0.05). Suppose the drug actually works. Which of the following statements is correct? Irish should not have rejected the null hypothesis because the p-value is too large. Type I error occurred. Type II error occurred. There was no error.
- The proportion of defective items is not allowed to be over 12%. A buyer wants to test whether the proportion of defectives in his shipment of 1000 items exceeds the allowable limit. The buyer takes a SRS of 100 items and finds that 19 are defective. State the null and alternative hypotheses for this test. Group of answer choices Ho: p = 0.12 vs Ha: p > 0.12 Ho: p = 0.19 vs Ha: p ≠ 0.12 Ho: p = 0.12 vs Ha: p < 0.19 Ho: p = 0.12 vs Ha: p = 0.19I need help understanding the null hypothesis and when to “reject” or “fail to reject” it. I got 5.77 in 3df and a critical value of 7.82.For each effect, state whether the null hypothesis was rejected or not. Calculate the effect size for the effect of stress
- Please use the data to find the hypothesis testThe proportion of students who get an undergraduate degree in statistics in four years was compared for meals and females. Random sample of 200 male statistics majors and 200 female statistics majors were taken. Choose the appropriate parameter(s) for this situation. [Hint: The .parameter(s) to be used in your hypothesis] ule u 2.00 jo None of these .A O P1-P2.B O H.C O Hi- H2.D O P.E O إنهاء المحاولة . . . PREVIOUS ACTIVITY Note P Type here to search Ae Ps 近For each scenario below read the given null and alternative hypotheses statements as well as the initial decision about the null hypothesis. Post a conclusion about the claim in each test. (This means when you post your answer, you do not need to include any statement about the null hypothesis. Only the final conclusion is needed.) 1. The paired values of the Consumer Price Index (CPI) and the cost of subway fare are listed below. Test the claim that there is a linear correlation between the CPI and subway fare? Results Initial Decision - reject the null hypothesis. 2. ResultsP- value = 0.762