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Normal distributions are extremely important in stats.
In a standard normal dist. what is the prob. of getting a value less than 1.63?How about between 1.13 and 1.86?How about greater than .58?
In a normal dist. with mean = 40 and std.dev. = 13, what is the prob. of getting a value less than 45?How about between 33 and 52?How about greater than 21?
Explain how we test independent against dependent variables in a regression analysis? What's the set up? How are regression analyses often misused / misinterpreted at work or in the news? Cite an example.
Suppose B^0 and B^1(beta hut 0 and beta hut 1) are the least squares estimates of B0 and B1 of the first model. Find the estimates of B0* and B1* in terms of B^0 and B^1.
An automobile manufacturer has a new model that they claim gets 27 miles per gallon. A consumer testing agency chooses 50 of these cars and finds that the sample mean is 25 miles per gallon and the sample standard deviation (s) is 3 miles per gall..
Determine the area under the standard normal curve between z = 0 and z = 3. Determine the area under the standard normal curve to the right of z = 1. Determine the area under the stanard normal curve to the left of z = 1.5
What is the probability that a randomly selected cell phone bill is more than $67.75?
Prepare tables of descriptive statistics (mean, median, Quartiles, IQR, and Standard Deviation) by firm for net profit margin (PROFITS). Discuss.
In an article in the Journal of Management Information Systems, Mahmood and Mann investigate how information technology (IT) investment relates to company performance.
If two independent large samples are taken from two populations, the sampling distribution of the difference between the two sample means:
Suppose population standard deviation for those drinking regular coffee is 1.20 cups per day and 1.36 cups per day for those drinking decaffeinated coffee.
a random sample of 100 doctors was selected. Suppose you reject the null hypothesis. What conclusion can you draw?
Using goodness-of-fit test and.01 level of significance, find out whether accidents are evenly distributed all through the day. Write a short description of your conclusion.
Chi-square test for independence of attributes - Describe why a x 2 test of the resulting contingency table is appropriate for such an investigation.
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