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Question: Full moon. Some people believe that a full moon elicits unusual behavior in people. The table shows the number of arrests made in a small town during weeks of six full moons and six other randomly selected weeks in the same year. We wonder if there is evidence of a difference in the types of illegal activity that take place.
a) Will you test goodness-of-fit, homogeneity, or independence?
b) Write appropriate null hypotheses.
c) Find the expected counts for each cell, and explain why the chi-square procedures are not appropriate for this table.
western pennsylvania has an average co2 emission rate of 1538 lbmwh. the city of pittsburgh has 335000 residents. if we
Groceries. A grocery store's receipts show that Sunday customer purchases have a skewed distribution with a mean of $32 and a standard deviation of $20.
in a study subjects are randomly assigned to one of three groups control experimental a or experimental b. after
Construct the following confidence intervals for your data set:
Why is the independence assumption in part c probably not realistic? Using a more realistic assumption, do you think the probability requested in part c.
A student wanted to find out the effects of alcohol on reaction time, so he found the reaction time of each subject under both conditions-alcohol and no alcohol.
Determine the probability that the student is Male. Do the same for student attending a Private high school. Use proper event notation remember that A is Female and B is Public - Calculate the probability that at least either the student is Female ..
The company will use the difference in times as the response variable. Criticize the experiment and point out some of the problems with generalizing the results.
1. what is the r value for the relationship between hamstring strength index 60degs and the shuttle run test? is this r
Suppose an investor has the opportunity to buy the following contract, a stock call option, on March 1. The contract allows him to buy 100 shares of ABC stock.
Evaluate the value of population proportion. Develop a 99% confidence interval for population proportion.
The mean height of a certain kind of plant is 128 centimeters. Suppose we want to carry out a hypothesis test to see if the mean height when these plants are treated with a certain chemical differs from 128.
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