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The table below summarizes baseline characteristics on patients participating in a clinical trial
1. Which, if any, baseline characteristics are significantly different (at the 0.05 level of significance) between treatment groups?
a. Age
b. Total Cholesterol
c. Diabetes
d. % Female
e. A and B
f. C and D
An auditor reviewed 25 oral surgery insurance claims from a particular surgical office, determining that the mean out-of-pocket patient billing above the reimbursed amount was $275.66 with a standard deviation of $78.11.
question an er nurse notices that when she and her colleagues are asked to work overtime they seem to get less sleep
Normal distribution with a mean of 8.1 minutes and a standard deviation of 1.9 minutes. For a randomly received emergency call, find the following probabilities. The response time is between 5 and 10 minutes
The MPG (Miles per Gallon) for a mid-size car is normally distributed with a mean of 32 and a standard deviation of .8. What is the probability that the MPG for a selected mid-size car would be less than 33.2.
A sample of 4 axles is inspected each hour for process control purposes, and records are kept of the sample mean diameter. What will be the mean and the standard deviation of the numbers record.
Describe the shape of the distribution? what proportion of the players had no hits? how many players had 4 or fewer hits? what percentage of the players had one or fewer hits?
Natural Science, 415; Social Science, 511; Business Administration, 619; Philosophy, 196. Create a Pareto chart representing this information.
An important idea in data interpretation is choosing which graph to use under which circumstances. Describe the benefits of different graphs for different sets of data:
Democrat and Republican, if two voters are randomly selected for a telephone survey, what is the probability that they are both Republicans?
Bob throws six dice and wins if he scores at least one ace. Alice throws 12 dice and wins if she scores at least two aces. Who has the greater probability of winning?
Using least squares regression analysis, what would you estimate demand to be for each month next year?
what was the product being analyzed using just the amount of rain and average temperature to predict quality in the
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