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How many subjects be studied in each of two equal sized groups to achieve 80% power to detect a differentiate of 0.5 between the null hypothesis that both group means are 0.0 and the alternative hypothesis that the mean of group 2 is 0.5? Assume that the group standard deviations are 1.0 in both groups. Make your calculation assuming a two-sided two-sample t-test with a type I error (alpha) of 0.056
a. 6
b. 9
c. 17
d. 64
e. 253
Real estate agents always say "location, location, location" is the most important thing in buying a house. We want to know if the sales prices of homes in two neighborhoods are similar. A random sample is taken from each neighborhood. The prices ..
Compute an F-statistic for each linear construct and determine its significance. Also, state what questions each of these contrasts address.
Make for more scatter plots comparing GDP growth 1970-2000 to corruption, political rights, rule of law, and socio-political instability
If p is the probability of Event 1 and (1-p) is the probability of Event 2, based on the expected returns, for what values of p would you select A? B? C? Values in the table are payoffs.
Write all the possible samples of size 2 and calculate the average or median of each one.
Using standard normal table, show critical value for left-tailed test with α = 0.02.
Carry out the ANOVA and, if essential, post-hoc comparisons. Make a graph to represent group differences, and interpret ANOVA in a paragraph written in APA style.
Utlizing binomial approximation to normal finding the normal model. A grower claims that only 13 percent of the strawberries he grows are unsatisfactory.
A point estimate for the difference between the mean purchases of the users of the two credit cards is:
First part of this theorem allows a problem solver to compute probabilities about sample means regardless of whether a population is normally distributed.
Agricultural researchers are studying three different ways of planting peanuts to determine whether significantly different levels of production yield will result.
A month is classified as "extremely wet" if the amount of rainfall is in the upper 10% for that month. How much precipitation must fall before a month of April is classified as "extremely wet".
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