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Why is a normal distribution called "normal"? Investigate the answer to this question on the internet and share the answer in your own words. Be sure to cite your sources.
Recall the employee expenditure example in the lecture. If you are asked to calculate the probability that a randomly selected employee's expenditure is exactly $5, what will be your answer? Why? Will your answer be the same for any individual expenditure?
Use the normal distribution to approximate the following probability: According to the most recent Davenport student profile, 47% of students have children under 17 living at home with them.
Probability values based on normal distribution - old exit exam followed a normal distribution
Determining the probability that the two choose the same number?
Assume X is an exponential random variable with parameter lambda. Find the method of moments estimator for lambda.
The scores of college-bound senior men on the math part of the SAT followed a normal distribution with mean 527 and standard deviation 116.
The average cost per night of a hotel room in New York City is $273 (SmartMoney, March 2009). Assume this estimate is based on a sample of 45 hotels and that the sample standard deviation is $65.
How many days should be considered if a 95 percent confidence is used and the estimate is to be within one hundred dollars?
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
In the history class the mean score was 76 with standard deviation 3.
The Starbucks in the Bauer College of Business found that 24% of customers purchase more than one cup of coffee per day from their shop. If 180 customers are randomly selected one day, what is the probability that no less than 25% of them purchase..
Find out the marginal probability density function for the provided value. Assume that two random variables, X and Y, have bivariate pdf given by:
Test the hypothesis that the annual incomes of corporate trainers in areas of more than 500,000 are significantly more than those in areas of less than 100,000.
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