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Suppose that 10 years ago the average annual expense for stock funds was 1.19 percent. Let µ be the current mean annual expense for all stock funds, and assume that stock fund annual expenses are approximately normally distributed. If a random sample of 12 stock funds gives a sample mean annual expense of formula31.mml = 1.61% with a standard deviation of s = .34%, use critical values and this sample information to test H0: µ < 1.19% versus Ha: µ > 1.19% by setting α equal to .10, .05, .01, and .001. How much evidence is there that the current mean annual expense for stock funds exceeds the average of 10 years ago? (Round your answers to 3 decimal places.)
Suppose the manufacturers claim is right, determine the probability the mean of sample is 47,840 miles or less?
Which of given is the correct decision statement for test?
Exam is given to 20 randomly chosen students and their average length of t time needed to finish exam was 54 minutes with standard deviation of 5.99 minutes. Test instructor's claim at the 0.05 level of significance.
A coin is flipped e times and heads (h) or tails (t) are recorded:
Multiple choices based on regression analysis - the percentage of variation in the dependent variable explained by the variation in the independent variable
A random variable has the density curve as in the graph below. Find The height of the density curve?
Set up dummy coded dummy variables to contrast each of the other groups to Group 2, medium Anxiety; run a regression to predict exam performance (Y) from these dummy coded dummy variables.
A human society claims that less than 36% of US. households own a dog. In random sample of 397 U. S. households, 151 say they own a dog. At mean=0.03, is there enough evidence to support the society's claim?
Computing the Z scores for the given data and evaluate µ and σ for the population.
What is the p-value associated with the above sample result?
Carry out the test for the variance of girls score is not significantly less than the given data.
What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
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