(a) State the null hypothesis H and the alternative hypothesis H, that you would use for the test. Ho: 0 O 10 and n(1-p) > 10 under the assumption that the null hypothesis is true.) Here n is the sample size and p is the population proportion you are testing. np = n(1-p) = |
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- Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p = 0.89 versus H₁: p=0.89 n = 500, x=440, α = 0.01 Is npo (1-Po) ≥ 10? Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal. Do not round.) A. Yes, because npo (1 − Po) = 48.95 . B. No, because npo (1-Po) = Now find p. p= 0.88 (Type an integer or a decimal. Do not round.) Find the test statistic Zo. Zo = -0.72 (Round to two decimal places as needed.) Find the P-value. P-value= (Round to three decimal places as needed.)SpA highly selective MBA program wants their students' average score on the GMAT exam to be greater than 650. They want to be able to assert with 95% confidence that this is true in their admissions materials. Select the correct symbols to use in the null hypothesis for this hypothesis test. Ho: [ Select ] [ Select ] V 650.
- Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p= 0.76 versus H₁: p 0.76 n = 500, x=370, α = 0.05 is npo (1-Po) 210? Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal. Do not round.) OA. Yes, because npo (1-P) = O B. No, because npo (1-Po) = Now find p. p=(Type an integer or a decimal. Do not round.) Find the test statistic Zo- Zo= (Round to two decimal places as needed.) Find the P-value. P-value= (Round to three decimal places as needed.) State the conclusion of the hypothesis test. because the P-value is greater less than aExamine the given statement, then express the null hypothesis Ho and the alternative hypothesis H1 in the symbolic form: (1) The mean weight of women who won a beauty pageant is equal to 120 lbs. (2) There are more then 97% of LBCC students have computers. (3( There are at least 50% of LBCC students have a job while studying>Bonus Problem: For each situation, decide whether the null hypothesis should be rejected. (a) α = 0.01, P-value = 0.047, (b) α = 0.01, P-value = 0.15.
- Using P-value approach, the statement below will be used when the null hypothesis and alternative hypothesis are: 2xP(t 2 |t*|) Ho: μ = μο Hai με μο Ο Hai H = μο Ho: μ Μο Hg: μ = μο Ho: μ > μο Ο Ηο: μ = μο Ha: μ # μο Ha: μ = μο Ho: μ # μοA recent study at a university showed that the proportion of students who commute more than 15 miles to school is 25%. Suppose we have good reason to suspect that the proportion is greater than 25%, and we carry out a hypothesis test. State the null hypothesis H, and the alternative hypothesis H, that we would use for this test. Ho: 0 H;: D OQ12 Justified answer asap to get a upvoteLet’s assume the average income for all majors in the School of Engineering is $80,000. However, the chair of the Computer Science department thinks their students earn more than that. Please choose the appropriate null and alternative hypotheses if the chair wanted to test this belief. a. H0: u <=80,000 Ha: u > 80,000 b. H0: u= 80000 Ha: u not= 80000 c. H0: u >80000 Ha: u < 80000 d. H0: u >80000 Ha: < 80000 e. None of the above.Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p=0.4 versus H₁: p> 0.4 n = 125; x = 65, α = 0.1 Is npo (1-Po) ² ≥ 10? No Yes ...You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of FitSEE MORE QUESTIONS