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A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=10 in each sample. The first sample receives the drug everyday. The second sample is given the drug once a week, and the third sample receives no drug at all. The dependent variable is the amount of food eaten by each rat over a 1-month period. These data are analyzed by an ANOVA, and the results are reported in the following summary table.
Fill in all missing values in the table.
Source ss df ms
Between treatments - 15 f=7.50
Within treatments - -
Total - -
Determine the probability that tire wears out before 70,000 miles?
Use Excel and determine the number of each type of person that will be needed to complete the job within the allotted time and at minimum cost.
Albert Einstein stated, "The formulation of a problem is far more often essential than its solution, which may be merely a matter of mathematical or experimental skill.
The hypotheses are as follows: Null Hypothesis: μD ≤ 0, Alternative Hypothesis: μD > 0. From her data, the resesarcher calculates a p-value of 0.0162. What is the appropriate conclusion? The difference was calucated as (after - before).
A population of scores forms a normal distribution with a mean of μ = 40 and a standard deviation of σ =12.
The average daily jail population in the United States is 706,242. If the distribution is normal and the standard deviation is 52,145, find the probability that on a randomly selected day the jail population is:
Assume you have drawn a simple random sample of 10 students from a college campus and recorded how many hours each student studies (X) during the ¯rst week of December, 2009. Results:
What is the p-value and compute a 95% CI for the difference in means between the two groups?
Rob Johnson is a product manager at Diamond Chemicals, which is considering whether to launch a new product line that will require it to build a new facility.
What is the standard error of measurement for the test? What range of scores would you expect an individual who made 54 on the test to make on another test of similar difficulty? Assume you want to be 68% accurate in your estimate.
List one unclear concept regarding regression and provide an example from your personal or work life where regression could be used to show a relationship between two variables.
What is a discrete random variable and how does it differ from a continuous random variable? Give examples.
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