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The average annual income of a group of women was 106 thousands of dollars with a standard deviation of 10 thousands of dollars.
a) Find the percentage of women who earned more than 94 thousands of dollars?
b) Mary earned more than 61.79 percent of the women in the study. How much did she earn in thousands of dollars? Use at least 2 decimal places.
This shows that the relationship between two variables cannot be obtained from the two individual distributions of the variables.
Import the given Module 3 Application Data Set into SPSS, and then identify all of the errors in the imported SPSS file.
you wish to test if there is a difference in the average time male and female students spend studying for a business
in 2011 a sruvey by the american bar association indicated that the average yearly income of attorneys was 110000. a
Determine whether this statement is true or false, and provide reasoning for your determination, using the Possible Relationships Between Variables tables.
For the normal distribution described in given Exercise, what first-mortgage amount would have been exceeded by only 5% of the mortgage customers?
Imagine that you are trying to predict the price of gasoline (regular unleaded) and the price of natural gas for home heating during the next month.
Two automatic dispensing machines are being considered for use in a fast-food chain. The first dispenses an amount of liquid that has a normal distribution with a mean of 11.9 ounces and a standard deviation of 0.07 ounces.
In the previous problem, the length of the confidence interval for µ is 257.6 - 200.7 = 56.9 and the length based on the trimmed mean is 244.9 - 196.7 = 48.2. Comment on why the length of the confidence interval for the trimmed mean is shorter.
Please write up and interpret the results for the following repeated measures ANOVA, using the Activity 6.sav data set. Score_0 through Score _12 is the repeated measure (7 levels) and gender is a fixed factor. Discuss especially both main effects..
There is a 3.32% chance that the percent of all inner city residents have sleep apnea differs from 13%.
A student wanted to study the ages of couples applying for marriage licenses in his county. He studied a sample of 94 marriage licenses and found that in 67.
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