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For a sample of students in the college of business administration at mid-atlantic university, the mean grade point average is 3.10 with a standard deviation of 0.25. compute the coefficient of variation.
Assuming 250 of each sex, can we conclude that there is a significant difference in the proportions at a 0.05 level of significance?
If the pilot plant fails, Rob feels the chance of the full-scale facility succeeding is only 20%. The probability that the pilot plant will succeed is estimated at 0.6. Structure this problem with a decision tree and advise Rob what to do.
Tavern has budget of $2,000 for beer for Super Bowl Sunday. Betty desires to find out number of gallons of each brand of beer to order so as to maximize profit. Create a linear programming model for this problem.
First-order regression model was fit to data. Part of printout follows?
The following show the hours of sleep on weeknights for a sample of individuals age 49 and younger and for a sample of individuals age 50 and older.
A random-effects ANOVA refers to the analysis where the levels included in the study represent a random sample of all levels that exist.
Critically discuss the concept of the normal distribution, why it is important, and what you think it means. When students talk about "grading on the curve," how does that apply to the normal distribution?
A coin is tossed 20 times. A person, who claims to have ESP is asked to predict the outcome of each flip in advance. She predicts correctly on 14 tosses.
Finding the probability value for the given data using normal approximation
This model is fit to the data using the method of least squares using statistical software, and the following ANOVA table is obtained
Jim's average delivery time was 38 minutes whereas Alison's average delivery time was 40 minutes. The respective standard deviations were 5 minutes and 4 minutes.
A pharmaceutical company has developed a screening test for a rare disease that afflicted 2% of the population. Unfortunately, the reliability of this test is only 80%, which means that 20% of the tested will get a false positive.
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