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The data are shown below and are available in the excel file exercise 5.xls. $ Based on the standard model, the estimate of the residual standard deviation is = 0133 . . The table of treatment averages is shown below. Is there any evidence of differences among the treatments? Is there any evidence of interaction? Prepare an interaction plot. Use the interaction plot to argue that the new design is less sensitive to changes in environmental conditions (temperature and humidity). What limitations apply to this argument?
A random sample of 15 first-year CMAs in Denver produces a mean salary of $32,279, with a standard deviation of $1,797. Test the hypothesis that the mean for all Denver first-year CMAs is not equal to $31,129. Use the .05 level of significance.
Using a test, 80% of Down's Sydrome cases can be identified, while 5% of normals are detected as positive. What is the sensitivity and specificity of the test?
Should the company adopt the new tread pattern? What is the correct alternative hypotheses to test whether this is strong evidence that they have failed to attain their goal.
10 independent measurements were made of the pH level for both solutions, with the following data testing. Do the data disprove the scientist's claim? Use the 5% level of significance. What is the p-value?
Find the 99% confidence interval for the population proportion.
One environmental group did a study of recycling habits in a California community. It found that 73% of the aluminum cans sold in the area were recycled. (Round your answers to four decimal places.)
Given that Z is standard normal randam variable. Compute the value of Z if area between –Z and Z is 0.754:
Jerry however is unsure the 0.6 probability of a favorable marketing research study is correct. How sensitive is Jerry's decision to this probability value ? How far can this probability value deviate from 0.6 without causing Jerry to change his d..
Set a value for the level of significance to be used in the test? After answering this question, what type of error would you suppose may result in that case?
On average, 40 percent of U.S. beer drinkers order light beer. (a) What is the probability that none of the next eight customers who order beer will order light beer?
After popping, the un-popped kernels were counted. There were 89. Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
State the hypotheses for a right-tailed test.
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