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Investigate the comparative pros and cons of the mean and the median. Find examples where the mean is more appropriate than the median and vice-versa. Discuss the locations of the mean, median and mode for a normal, left-skewed and right-skewed distributions.
Elucidate the null and alternative hypothesis for the difference among the two means. In testing the difference between the means of two.
Assume the arrival of these emails i3 approximated by the Poisson distribution.
An experimenter is randomly sampling 5 objects in order from among 49 objects. What is the total number of samples in the sample space?
Determine the estimated population mean?
Create a flow diagram for entire process. Include flow paths for students (solid lines) and prescriptions (dashed lines).
Using the original data, estimate the population standard deviation with 90% probability.
Determine the lowest weight a student can have and still be qualified to enter the school.
If customers arrive according to a non-stationary Poisson process with rate function λ(t) = sin(t) + 5, is the time between the arrivals an exponential distribution?
Finding probability for the given values of the uniform density curve
Compute the value of t. What is your decision regarding the null hypothesis? Briefly summarize your results.
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
How does the efficiency of a regression predict the power of the t-test? How do robust standard errors change the comparison between hypothesis testing using OLS and robust regression? What does dependence in the e do to the t-test? what does non-no..
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