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Give a brief definition and an example of the following:
a. Descriptive Statistics
b. Inferential Statistics
Gigi has rolled a natural on four straight tosses of the dice. This excites the gamblers standing around the table.
1) There are 500 employees in a firm, 45% are female. A sample of 60 employees is selected randomly. a) Determine the standard error of the proportion.
It does not matter, when data are skewed mean and median are the same.
When we say we have confidence level of 95% what do you believe our "margin of error" is?
The accompanying table summarizes randomly selected sample data for San Francisco Defendants in burglary cases.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
The standard deviation of the sample is $3,000. Interpret your findings.
Determine equation in point-intercept form for line that goes through points (8,-1) and (4,3).
A physician wanted to estimate the mean length of time µ that a patient had to wait to see him after arriving at the office.
Compute the probability of exactly 0,1,2,3,4, and 5 arrivals per day.
If not what would be a better testing strategy? Could you form a Null Hypothesis or an Alternative Hypothesis? If yes, what would they be.
To find out the alternate hypotheses also critical value. A truck dealer claims where a new model will give trouble free service for at least 15,000 miles.
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