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Find a research article and clearly define both the null and directional hypothesis that was or could have been tested during the statistical analysis of the data.
Impact on sampling of increasing sample size is: The potential for extreme sampling error is reduced.
If the least squares equation for sales data going from 1984 to 1990 is Y1 = 10 + 1.3X (in $ millions) found using the coded method, what is the plot on the straight line for 1988? (x and y values)
The Federal minimum wage is $7.25 (effective July 2009). If an employee earns the new minimum wage, how many complaints can that employee expect to receive?
Looking for a good original (yet cited) response to this definition. And if you can describe two common ones with an example for each that would be great.
A Starbucks manager decides to study waiting times of customers for service at the lunch time rush hour 1100-1200. He observes three customers to measure the time the customer enters the line to the time he or she reaches the counter.
Consider the trash bag problem. Suppose that an independent laboratory has tested trash bags and has found that no 30-gallon bags that are currently on the market have a mean breaking strength of 50 pounds or more.
Below is a normal plot of residuals from a regression. Does the plot indicate any problems with the assumption that the residuals are Normally distributed
Two tools that are often used in this process are the contingency table and the decision tree. What are these tools and how to they help us to make decisions under uncertainty when we are dealing with probabilities?
All of these cars are for sale by dealers. Produce a dotplot of the prices and comment on features of the dotplot. Suggest a reasonable asking price for the 2005 Escape. Explain your reasoning.
Indicate your hypotheses, decision rule, statistical decision and management conclusion using the critical value and then find the p-value and state your decision rule, statistical decision and management conclusion using this method.
What is the treatment mean square? What is the mean square error? How many groups are included in the study?
A random sample of 51 observations was selected from a normally distributed population. The sample mean was = 88.6, and the sample variance was s2 = 38.2.
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