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When the necessary conditions are met, a two-tail test is being conducted to test the difference between two populations proportions. The two sample proportions are P1 = 0.25 and P2 = 0.20 and the standard error of the sampling distribution of P1 - P2 is 0.04. the caculated value of the test statistic will be
2. One-way ANOVA is performed on three independent samples with : n1 = 6, n2 = 7 and n3 = 8. the critical value obtained from the F-table for this test at the 2.5% level of significance equals?
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
If the computed value for this problem is +2.33, and the level of significance is 0.05, can we conclude that the recall proportions for the two commercials are same?
City government has collected the following data on annual sales tax collections and new car registrations: Determine the least squares regression equation.
Write a brief summary of the distribution of life expectancy.
State the values of the coefficient of correlation and coefficient of determination correct to three decimal places
Assuming that a difference (Δ) of 2 lbs. in the mean was important to detect, a maximum Type I Error (α) level of 5%, and the desire to run a two-tailed test, then:
The advertising agency promoting the new Keem dishwashing soap wants to get the best exposure possible for the product within the $100,000 advertising budget ceiling placed upon it.
When is a factorial ANOVA used? Give Example. When is a chi square test appropriate? Give Example. When does linear regression versus multiple regression apply? Give Example.
Suppose the population mean is 50.6 pounds with a population standard deviation of 1.62 pounds. Suppose we take thousands of samples with a sample size of 5.
How large a sample should be selected in order to estimate the population proportion to within a margin of error of 0.02 with 97% confidence. The sample proportion from the preliminary sample was 0.18.
Give an example of a null and alternative hypotheses. This can be a personal item or something at work. Additionally, identify the Type I and Type II Errors that could occur with your decision-making process.
A sample of n=20 has a mean of M = 40. If the standard deviation is s=5, would a score of X= 55 be considered an extreme value? Why or why not?
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