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The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this survey, the sample sizes are unequal. Research question: Are the mean annual attendance rates the same for employees in these three departments? DaysWorked
Days Worked Last Year by 23 Employees
Department Days Worked
Budgets (5 workers) 278 260 265 245 258
Payables (10 workers) 205 270 220 240 255 217 266 239 240 228
Pricing (8 workers) 240 258 233 256 233 242 244 249
Describe the mean difference that is the main effect for the treatment. Describe the mean difference that is the main effect for gender. Is there an interaction between gender and treatment? Explain the answer
A large university says the mean number of classroom hours per week for full-time faculty is more than 9. A random sample of the number of classroom hours for full-time faculty for one week is listed. At 945; = 0.05 , test the university's claim.
Compute expected value for each of three actions and find out if manager must accept, further analyze, or reject the lot? Determine expected value of perfect information (EVPI)?
Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals. To test this hypothesis, she has two assistants sit in a McDonald's restaurant and identify individuals who order the Big Mac speci..
In a randomized clinical trial of timolol vs. placebo in patients surviving acute myocardial infarction, the total deaths at an average of 24 months after treatment were found to be 65 out of 720 in the Timolol group and 112 out of 860 in the plac..
You only worry if there is at least a 50 or more percent chance that you have the disease. Suppose that test has same specificity = p For what value of p will you start to worry?
What differentiates a z test statistic for a population from the z statistic for a sampling of means? Why is there a difference? Consider a normal population with ? = 43 and ? = 5.2. Calculate the z-score for an x ? of 46.5 from a sample of size 16.
Test the claim that the actual percentage is 53%. Use a 0.10 significance level.
Find a 98% confidence interval for the true proportion of students who have a personal blog with a maximum margin of error of 0.03. How many students do you survey?
Variance hour 100 and battery y: sample size 12,mean hour 1020,variance hour 121. can you conclude that two types of batteries are having the same mean life?
In looking at your business, when and why would you want to use a one-sample mean test (either z or t) or a two-sample t-test? Create a null and alternate hypothesis for one of these issues. How would you use the results?
If two registered voters are selected at random, what is the probability exactly one voter is a democrat?
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