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Your friend who works in ?nancial investment company comes to you with a problem. She is interested in estimating some parameter α from her data (which has sample size n = 350). She managed to come up with an estimate ˆ α, but her boss asked for a 90% con?dence interval for α as well. When you ask for details, she refuses to give you any more details as the model is a proprietary one. Can you give her some advice on how to proceed? Give some details.
At a large department store, the amount a shopper spent and the shopper's gender (male or female) were recorded. To determine if gender is useful in explaining the amount of money a shopper spends at the store we could
a group of 14 friends got together for a wine contest. each guest brought his or her favorite bottle of pinot noir.
Compute the ‘net' expected values for each product (i.e. expected value for its success minus expected value for its failure). Based on these ‘net' expected values, which product should the company pick?
because shelf space is a limited resource for a retail store product selection shelf-space allocation and shelf-space
Give a real world example of a situation where normal parametric tests would not be useful and where there is a need for nonparametric test methods. Be specific and explain why nonparametric tests are needed in that case.
How did Social Darwinism play into German policy towards the Jews and other subject peoples?
Refer to Exercise. Calculate an 80% confidence interval that estimates the proportion of U.S. families with children that always has the television.
What is the probability that the poll gets a sample in which fewer than 45% say they do not get enough time for themselves. Show your method.
Calculate the proportion of scores between 20 and 30. Be careful with this one; drawing a picture is especially advised.
The company selling the brand knows the age distribution of consumers.
a population has a mean of mu 30 and a dtadard deviation of 5. if 5 points were added to every score in the population
Explain the difference between testing a single mean and testing the difference between two means. What two assumptions must be met when one is using z test to test differences between two means?
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