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A researcher conducts an experiment comparing three treatment conditions. The data consist of n=20 scores for each treatment condition.
a. If the researcher used an independent-measures design, then how many individuals were needed for the study and what are the df values for the F ratio?
b. If the researcher used a repeated-measures design, then how many individuals were needed for the study and what are the df values for the F ratio?
If one of these consumers is randomly selected, what is the probability that the person prefers design A and is under 25?
For a random sample of 35 items, a known population standard deviation of 23, and a sample mean of 211 estimate the: the population mean with a confidence level of 95%.
No, there is not sufficient information to reject the hypothesis that the proportion of cats and the proportion of dogs that sleep more than 10 hours per day are the same because the test value -0.65 is inside the acceptance region (-1.96,1.96).
From the test data, can we determine whether the oven has an effect on the cake's density? The null hypothesis should be: Oven has no effect on density.
Calculate 95 percent and 99 percent confidence intervals for m. Using the 95 percent confidence interval, can we be 95 percent confident that m is at least 50 pounds? Explain.
A test of 45 capsules had a mean weight of 20.9 milligrams and a standard deviation of 0.3 milligrams. Test the makers claim at the 95% confidence level.
A math course has 2 sections. Section one has 55 students of which 10 received an A. Section two has 45 students of which 11 received an A. If a student was chosen randomly from 100 students
If the goal is to test whether less than 75% of the flights depart on time, what is the value of the critical test statistic at the 10% level of significance?
Suppose there are two samples of size 6 and 7, with a rank sum of 58 in the sample of size 6. Using the Wilcox on rank-sum test, evaluate the significance of the results, assuming there are no ties.
According to the Insurance Institute of America, a family of four spends between $400 and $3800 per year on all types of insurance. Suppose the money spent is uniformly distributed between these amounts.
Your objective is to maximize the expected utility of your final fortune (after 4 bets). If you are a log-utility investor, determine the optimal policy and find the maximal expected utility.
What is the appropriate procedure to test a significant difference in means between the two groups? Use the critical -value method.
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