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I'm having difficulty understanding and showing in layman terms or simple terms an example and comparison between the ANOVA test, Kruskal-Wallis test, and T-Test Statisitc.
Test whether the average cycle of sleeping and waking differs significantly from 24 hours.
How large should the sample be if I want to maintain a 95 percent level of confidence and suffer a maximum error of $2.00 in my estimate of the highest price consumers are willing to pay?
What is the probability of making a Type II error if the population mean is 24,000 miles?
The shirt was a mesh polo shirt. Given this information, what is ths probability that the mesh polo shirt came from box 1?
Relatively speaking, who performed better on the test, you, with an 86, or your friend? Why?
Compute the range, variance, standard deviation, and coefficient of variation. Compute the Z scores. Are there any outliers?
ACT scores of high school seniors. The scores of high school seniors on the ACT college entrance examination in 2003 had mean JL = 20.80 and standard deviation (J = 4.80. The distribution of scores is only roughly Normal.
To conduct a follow-up study that would provide 95% confidence that the point estimate is correct to within plus-or-minus 0.04 of the population proportion, how large a sample size is required?
What is the probability of drawing one or more aces after discarding 5, 7, 8, and 9
At the .05 significance level, can we conclude that the guideline is still reasonable?
To determine whether the mean is greater than 16 ounces using large sample test.
Conduct the following test using 95% level of confidence.
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