H1: μ1 – μ0 > 0 and α = 0.05, what effect size seems to interest me if I wish to achieve power =0.8 with a sample size of 13? a. 0.5 b. 0.1 c. 0.6 d. 0.8
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If H1: μ1 – μ0 > 0 and α = 0.05, what effect size seems to interest me if I wish to achieve power =0.8 with a sample size of 13?
a. 0.5
b. 0.1
c. 0.6
d. 0.8
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- If H1: μ1 – μ0 > 0 and α = 0.05, what effect size seems to interest me if I wish to achieve power =0.05 with a sample size of 44? The answer is: 0.5 Please provide a solution to this problem and explain the answerTwo samples of sizes 60 and 90 have 52 and 48 as the respective A.Ms. and 9 and 12 as the respective S.Ds. Find the A.M and S.D. of the combined sample of size 150.A sample of n = 16 scores produces a t statistic of t = 2.00. If the sample is used to measure effect size with r2, what value will be obtained for r2?
- What size samples do you need for a 2-group design if you expect to have an effect size of .50 and you want your power to be .71?Nutrition The mean ±1 sd of In [calcium intake (mg)] among 25 females, 12 to 14 years of age, below the poverty level is 6.56 ± 0.64. Similarly, the mean + 1 sd of In [calcium intake (mg)] among 40 females, 12 to 14 years of age, above the poverty level is 6.80 + 0.76. 8.5 What is the p-value corresponding to your answer Problem 8.4? 8.6 Compute a 95% CI for the difference in means between the two groups.Question 17: You run a regression analysis on a bivariate set of data (n=103n=103). With ¯x=24.3x¯=24.3 and ¯y=75.9y¯=75.9, you obtain the regression equationy=0.659x+59.886y=0.659x+59.886with a correlation coefficient of r=0.883r=0.883. You want to predict what value (on average) for the response variable will be obtained from a value of x=90x=90 as the explanatory variable.What is the predicted response value?y = (Report answer accurate to one decimal place.)
- The difference in the observed neurological disease rate, xbar, for a sample of veterans who served in Iraq is not “statistically significantly different” (alpha = .05), from the overall population disease rate for all U.S. veterans, mu0. This means: a. xbar = mu0b. The disease rates xbar and mu0 are not equal, but the size of the difference is not practically important, not big enough to matter. c. H0: mu for Iraq vets = mu0 was not rejected d. None of the aboveYou conduct a hypothesis test and find that your data are statistically significant at alpha = 0.03. What may you conclude? A. The data would also be significant at alpha = 0.02. B. The data would also be significant at alpha = 0.05. C. Both A and B are true. D. Neither A nor B is true.For a population with µ = 40 and σ = 8, what is the X value corresponding to z = 1.50?
- The mean ±1 sd of ln [calcium intake (mg)] among 25 females, 12 to 14 years of age, below the poverty level is 6.56 ± 0.64. Similarly, the mean ± 1 sd of ln [calcium intake (mg)] among 40 females, 12 to 14 years of age, above the poverty level is 6.80 ± 0.76. 1. What is the p-value corresponding to your answer to Problem(A)?2. Compute a 95% CI for the difference in means between the two groups. the answer of problem(A) is: t= -1.1314true or false. if you found X2 = 10 with df= 5 you would fail to reject Ho at the 5% significance level.QUESTION 16 You recently read an article about coffee that said 40% of people in your age group prefer Cold Brew, 35% prefer Latte, 4% prefer Short Black, and 21% prefer Cappuccino. You wanted to know if 125 of your friends have the same tastes as reported in the magazine, and you collect data to test your hypothesis. When testing your hypothesis, what will be your critical value? 9.35 11.14 9.49 7.82