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We're not told that the top 1000 would be the majority. IF that is true then the sample might be a good indicator for the company. However, if it is not true then it's probably not representative of all the customers and could lead to strange projections.
One question that I have is: Will these sample statistics accurately estimate the purchasing habits of all our customers? Can you share some of your thoughts on that question? Why or why not?
The events are defined as follows: Let A be the event that the player selected has a number from 1 to 8. Let B be the event that the player selected is a guard. Let C be the event that the player selected is a forward. Let D be the event that the pla..
Suppose the people have weights that are normally distributed with a mean of 164lb and a standard deviation of 30lb. Find the probability?
A random sample has been taken from a normal distribution and the following confidence intervals constructed using the same data: (38.02, 61.98) and (39.95, 60.05). What is the value of the sample mean?
Using the 0.99 confidence coefficient, what are the confidence limits for the proportion that plan to vote for the Democratic incumbent.
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Calculate and interpret standard error of estimate se and coefficient of determination R2 for these data.
The American Sugar Producers Association wants to estimate the mean yearly sugar consumption. A sample of 16 people reveals the mean yearly consumption to be 60 pounds with a standard deviation of 20 pounds.
Flu cases this past season in the Oshkosh school system were about 15 per week. For the entire state, the weekly average is 16 and the standard deviation, 2.35.
What is the best prediction for the number of products sold based on advertising costs of $7000?
What is the likelihood that the mean annual precipitation during 25 randomly picked years will be less than 90.8 inches?
Utilizing Excel data analysis calculate t distribution also deduce the result. Study of variance is used to investigate if there is a difference in the mean mileage of the three cars.
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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