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A university has found that 20% of its students withdraw without completing the introductory statistics course. Assume that 20 students have registered for the course this semester.
a) What is the probability that two or fewer will withdraw?
b) What is the probability that exactly four will withdraw?
c) What is the probability that more than three will withdraw?
d) What is the expected number of withdrawals?
e) Find the variance and standard deviation.
The dean of students believes that teh costs are greater this semester. What is the test value for this hypothesis?
If two independent large samples are taken from two populations, the sampling distribution of the difference between the two sample means:
As it is a 2 × 2 table, try also two-tailed two-sample z test for π 1 = π 2 and verify that z 2 is same as your chi-square statistic. Which test do you prefer? Explain why?
Below are two data sets. Using descriptive statistics, discuss the two data sets in relation to each other. Both data sets come from an operation where potato chips are being placed in small connivance store bags that are to hold 6.0 oz.
Create a 95% confidence interval for proportion of highly educated women who left careers for family reasons and who wish to return to work.
Consider the relationship between yearly wine consumption (litres of alcohol from drinking wine per person) and yearly deaths from heart disease (deaths per 100,000 people) in 19 developed countries.
Using one proportion z test to find whether or not to support the claim - There is little evidence to reject H 0 , therefore they conclude the tvs are 20 pounds on average.
A quality control engineer is interested in the mean length of sheet insulation being cut automatically by machine. The desired length of the insulation is 12 feet. It is known that the standard deviation in the cutting length is 0.15 feet. A sam..
A population of 1000 students spends an average of $10.50 a day on dinner. The standard deviation of the expenditure is $3. A simple random sample of 64 students is taken.
The demand, D, on any given day is uniformly distributed over [80,140]. How many units should the retailer order to maximize expected profit?
Is there evidence to suggest a difference in the mean waiting times at the four body shops? Use the .05 significance level.
What is the appropriate set of hypotheses to test such that a possible outcome of the test would indicate;
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