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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- please answer number 3A sociologist wants to determine if the life expectancy of people in Africa is less than the life expectancy of people in Asia. The data obtained is shown in the table below. Africa Asia = 63.3 yr. 1 X,=65.2 yr. 2 o, = 9.1 yr. = 7.3 yr. n1 = 120 = 150Given the data provided, I need help solving parts C-E of my problem. Thank you in advance!
- just question 7.16 pleaseHow profitable are different sectors of the stock market? One way to answer such a question is to examine profit as a percentage of stockholder equity. A random sample of 32 retail stocks was studied for x1, profit as a percentage of stockholder equity. The result was x1 = 13.2. A random sample of 33 utility (gas and electric) stocks was studied for x2, profit as a percentage of stockholder equity. The result was x2 = 10.0. Assume ?1 = 4.2 and ?2 = 2.6. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some cases, this choice will increase the P-value by a small amount or increase the length of the confidence interval, thereby making the answer slightly more "conservative." (a) Let ?1 represent the population mean profit as a percentage of stockholder equity for retail stocks, and let ?2 represent the population mean profit as a percentage of stockholder equity for utility stocks. Find a 95% confidence interval for ?1 − ?2.…Can I have step by steo instructions to do this in excel? Thank you
- You want to determine the effect of soap on bacterial colonies. In order to make sure that the environmentdoes not affect your experiment, you divide 13 different petri dishes in half - one side is exposed to soap, theother is a control.You measure the number of colonies that grow in each petri dish and come up with the following results:petri dish 1 2 3 4 5 6 7 8 9 10 11 12 13soap 10 5 7 10 19 11 13 17 19 8 11 10 16control 20 17 11 17 26 18 21 25 24 17 17 17 21Perform a complete hypothesis test to see if there is a difference in bacterial colonies between the soapand control dishes.Again - notice that you are given no advice. You need to figure this out on your own, althoughthis one should be a bit easier than (4). Feel free to use R to solve this problem, just make sureyou don't just hand in a printout.Is it possible to get the following from a set of experimental data: (a) r23 = 0.8, r13 = - 0.5, r12 = 0.6 %3D %3D %3D (b) r23 = 0.7, r13 = - 0.4, r12 = 0.6 %3D %3D %3DWhat 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?
- A diet center wanted to test three different methods for losing weight to determine if the average weight loss (reported in pounds/week) for each method is the same. The results for the three methods are tabulated below. Given that there is a significant difference between the three methods, use the Tukey test to determine if there is a significant difference between each pair of methods. Let a=0.05. (picture attached)Answer the whole quesrionYou are interested in exploring gender differences in sentence length for convicted sex offenders. You take a sample of 18 male sex offenders and a sample of 13 female sex offenders and compute the average sentence length for each group in years. Based on the information below, is there a significant difference between males and females in the average sentence length for convicted sex offenders? Use alpha = .10. %3D Males: Females: n = 18 n = 13 M= 26.3 SS = 880 M = 21.7 SS = 610 Step 1: 2a. Identify the null hypothesis. Type a - f here a. Ho: Hm = Hf %3D b. Ho: Hm # Hf c. Ho: Hm 2 Hf d. Ho: Hm SHf e. Ho: m > Hf f. Ho: Hm Hf f. Hj: Hm < Hr Step 2: 2c. Type in your df here:
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