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 answer
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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 answer
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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. 0.8What 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?Do you think E(y)=β0+β1 ln|x|+ β2ex+β3x3 is a linear statistical model What about E(y)=β0+β1x1+eβ2x2 ?
- 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?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.
- 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.Which of these experiments will have the GREATEST power? Group of answer choices Experiment with sample size of n = 10 and a small effect size (Cohen’s d = 0.1) Experiment with sample size of n = 100 and a large effect size (Cohen’s d = 1.1) Experiment with sample size of n = 100 and a small effect size (Cohen’s d = 0.1) Experiment with sample size of n = 10 and a large effect size (Cohen’s d = 1.1)a) If the prevalence rate is 50%, the sensitivity is 85%, and the specificity is 90%, what will the PPV value be? b) What are possible slider values that will produce a PPV value of 1? c) What are possible slider valuse that will produce an NPV value of 1? d) If sensitivity and specificity remain constant while prevalence decreases, what effect does that have on the PPV? e) If prevalence and specificity remain constant while sensitivity increases, what effect does that have on the NPV?
- See the attached image for the introduction. In terms of variables xi and parameters βi, write the null and alternative hypotheses for testing whether, after including Price/Square Feet(x2) in the model already, the further incorporation of the other 2 explanatory variables (x1, x3) adds any useful information for explaining pricey. Also, give the value of the F statistic and its degrees of freedom (df).You conduct a regression of the squared residuals against the dummy variables X1, X2, and X3 and find that for the squared residuals regression: Multiple R 0.4145 R Square 0.1718 Adjusted R Square 0.1600 SEE 92.3760 Conduct a test at the level to see if conditional heteroskedasticity is present In view of your answer for a), what needs to be done?Two different analytical methods were used to determine residual chlorine in sewage effluents. Both methods were used on the same samples, but each sample came from various locations with differing amounts of contact time with the effluent. Two methods were used to determine the concentration of Cl in mg/L, and the results are shown in the following table: Answer the following questions as per the table: - 1.What type of t test should be used to compare the two methods and why? 2.Do the two methods give different results? State and test the appropriate hypotheses. 3.Does the conclusion depend on whether the 90%, 95%, or 99% confidence levels are used?
