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A statistician wants to estimate the mean weekly family expenditure on clothes. He believes that the standard deviation of the weekly expenditure is $125. Determine with 99% confidence the number of families that must be sampled to estimate the mean weekly family expenditure on clothes to within $15.
Let 3 trails (they may not be independent), each of which is either success or not. Let X denotes number of successes. Assume E[X] = 1.8. Determine the largest possible value of P(X=3)?
The average monthly gasoline purchase for a family with 2 cars is 90 gallons. This statistic has a normal distribution with a standard deviation of 10 gallons. A family is chosen at random.
a) What statistical test should be used to analyze these data? b) Identify H0 and Ha for this study. c) Conduct the appropriate analysis d) Should H0 be rejected? What should the researcher conclude?
How would you interpret the findings of a correlation study that reported a linear correlation coefficient of +0.3?
In the graphical method, how do you know when a problem is infeasible, unbounded, or when it has multiple optimal solutions? Give a real-world example of when you could have an infeasible problem.
Critically discuss how someone may use measures of central tendency, variation, or position in their home, school, or workplace.
At the .05 significance level, is the number of units produced on the afternoon shift larger?
Process data by Excel using its two-way ANOVA without replication program.
Find the value of sample covariance in linear regression model
They would like the margin of error of the 95% confidence interval for the proportion to be 0.05 or less. Use the guessed value p = 0.25 to find the required sample size.
Suppose that you're the Quality Manager for the Emerson D. Meritz Machine Tool Company. Your model IE566 grinding machine is afflicted by three types of defects classified as major (type A), serious (type B) and minor (type C).
Suppose a wildlife service wishes to estimate, with 99% confidence, the mean number of days of hunting per hunter for all licensed hunters in the state during a given season, with a bound on the error of estimation equal to 2 hunting days.
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