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To test whether there is any association between two variables using Chi-square test for independence.
A researcher is interested in studying the relationship between salary levels and unionization for public employees. Specifically, the researcher hypothesizes that public sector employees who are unionized have higher salary levels than public sector employees not unionized. Random sampling police departments in 100 cities, the researcher constructs the cross-tab below.
Salary
Union
Nonunion
TOTAL
High
21
29
50
Low
14
36
35
65
100
Calculate chi-square for the cross-tab. Show your work. Is there a statistically significant relationship between these variables?
To determine whether the mean is greater than 16 ounces using large sample test.
If you have a statistical package that computes binomial probabilities, find the probability that at least five funds outperform the market in all 10 years.
Find out sample correlation coefficients of (I) age with dry weight, and (2) age with log 10 dry weight. Interpret your results.
At.05 significance level, is there a difference in mean number of calls per day between 2 employees? Compute the p -value?
If a group is chosen from a population on the basis of sharing the same percentages of trait features as known to exist in the population, then the group so chosen would constitute:
Using What's Best! (Or solver) find the least-cost matrix.
If p denotes the p -value of the corresponding hypothesis test, which of the following is true?
Calculate (rounded to the nearest tenth) The correlation between IQ and Anxiety r =??
A. Determine the regression equation. B. Determine the estimated sales if 40 contacts are made.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Compare the two forecasts computed in (a) and (b), using MAD. Which one should the dealer use for January of the next year?
Let X 1 , X 2 , X 3 , X 4 be a random sample from a Poisson distribution with parameter λ and let Y = X 1 + X 2 + X 3 + X 4 . You decide to test λ = 1.60 versus λ
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