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A.) What statistical method will you use to come up with an estimate for the population average?
B) What statistic will you use to set the level of confidence, will it be z or t?
C.) Working at the 95% level of confidence what are the df? What value of that statistic will you use?
D.) Write the formula you will use to calculate estimated standard error, then use that formula to calculate the estimated standard error:
E.) Write the formula you will use to construct the confidence interval, then use the formula to construct it:
F.) Write your estimate for the population by adapting the phase on p,125 of the textbook?
What precautions need to be considered when using a Latin square or Graeco-Latin square design?
Generate the random variables (at least 10 values) [column 1], Calculate the PMF [column 21 and CDF [column 3], Plot the PMF and CDF in different graphics (It is recommended to combine the graphics while changing the parameters)
Construct a 95% confidence interval for the true distance.- Based on your confidence interval, is it plausible that the mean distance is 40 ft? Explain.
Medicine and Clinical Studies According to a recent study, taller women have a significantly higher risk of developing some form of cancer.
The NAEP test was also given to a sample of 1077 women of ages 21 to 25 years. Their mean quantitative score was 275. Take it as known that the standard deviation of all individual scores is = 60.
Redo the inital calculation one more time using $50,000 in annual savings for the first six years and $30,000 in annual savings for the next six years.
Out of the variables that you have coded, you will use the variable "age". You will estimate the population parameters from sample statistics
Assuming the sample size of 40 can be considered as large, compute the confidence interval for a confidence level of 90%.
Perfect pitch. A recent study of perfect pitch tested students in American music conservatories. It found that 7% of 1700 non-Asian and 32% of 1000 Asian.
Does this change relate at all to what happened to the mean over the four-year period? How? What happened to the shapes of the underlying distributions?
let x be a discrete random variable with possible values x -1012 and probability function fx kx3 0.15 for x -1012.a
compute the SST, SSE, and SSR
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