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We have a four-sided top. Each side is a different color (red, yellow, blue, green). We want to test to see if it is fair. Why is it not a good idea to simply do z-test for each category - meaning to test to see if there are too many or too few red, then too many or too few yellow, then too many or too few green, and then too many or too few blue)?
Explain why these data should not be used to construct a confidence interval for the proportion of people who believe that women are more effective at governing
cereal is sold by weight not volume. this introduces variability in the volume due to settling. as such the height to
Determine the least-squares regression line for estimating the passer rating based on the percentage of passes that were touchdowns.
a. What can we say about the shape of the distribution of the sample mean?
Assume we want to use a 0.10 significance level to test the claim. (a) Identify the null hypothesis and the alternative hypothesis. (b) Determine the test statistic. Show all work; writing the correct test statistic, without supporting work, will r..
Why should a company not use payback period method to make a final determination on projects to invest in?
1) Write the statistical results for the following situation using the correct spacing and rounding:One-sample t test conducted by hand
A confidence interval increases in width as:
Machine X test unit cost $3000 with beta=3 and theta=500, Machine Y test unit cost $2000 with beta=3 and theta=400. If the machines oil fixtures has life of 20 hrs, which machine goes to market first?
What results in your departments seem to be correlated or related (either causal or not) to other activities? How could you verify this? What are the managerial implications of a correlation between these variables?
an investigator conducts a study to investigate whether there is a difference in mean pef in children with chronic
A random variable X that has pmf given by p(x) = 1/ (n+1) over the range Rx = {0,1,2,...,n} is said to have a discrete uniform distribution. Find the mean and variance of this distribution.
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