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A sample of scores on an examination given to both males and females is:
Males 72, 69, 98, 66, 85, 76, 79, 80, and 77Females 81, 67, 90, 78, 81, 80, and 76
At the .01 level of significance, is the mean grade of the female students higher than that of the males?
if 100 tires are randomly selected for shipment to an outlet, what is the probability that they are all good? should this outlet plan to deal with defective tires returned by consumers?
A sample of 46 bars is taken and their mean length is determined to be 51 centimeters with a standard deviation of 3.6 centimeters. Using a .01 significance level, test the retailers claim that the population mean is less than 50 centimeters.
A new car is designed to run a mean of at least 50 000 kilometers before its first tune-up. Tests with 30 cars show a sample mean of 49 500 kilometers and a sample standard deviation of 1000 kilometers.
On average, you receive 2 telemarketing calls per day. What is the probability that you will not receive any telemarketing calls today.
I have a problem that wants to know the sample size of Illinois republican voters, they want to know the sample size with 95% confidence and 3% margin of error, not sure how to get started.
The random variable X, representing the number of accidents in a certain intersection in a week, has the following probability distribution
At 0.01 level of significance, is there evidence that mean price is higher at Whole Foods Market than at Fairyway supermarket? Interpret the meaning of p-value in (i).
In an experiment, subjects are required to generate a "yes" or "no" decision. The probability of 'Yes' being correct is 50%. The observed probability of yes decisions is 70%.
The supermarket is open 16 hours per day. What is the probability that the total number of customers who enter the supermarket in one day is greater than 10,000?
The average salary of managers in the advertising industry is $180,000 per year. Suppose we would like to take a sample of managers at a new company ABC
Given the following frequency distribution, find the mean, variance, and standard deviation. Please show all of your work so I can see how to do this for the future. This one is good example of what I can do in future for real estate.
Perform hypothesis testing on one variable's data.
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