Question;Week 1 discussion;Descriptive Statistics (graded);If you were given a large data set;such as the sales over the last year of our top 1,000 customers, what might you;be able to do with this data? What might be the benefits of describing the;data?;Week 2 discussion;Regression (graded);Suppose you are given data from a;survey showing the IQ of each person interviewed and the IQ of his or her;mother. That is all the information that you have. Your boss has asked you to;put together a report showing the relationship between these two variables.;What could you present and why?;Week 3 discussion;Statistics in the News (graded);Keep your eyes and ears open as;you read or listen to the news this week. Find/discover an example of;statistics in the news to discuss the following statement that represents one;of the objectives of statistics analysis: ?Statistics helps us make decisions;based on data analysis.? Briefly discuss how the news item or article meets;this objective. Cite your references.;Week 4 discussions;Discrete Probability Variables;(graded);What are examples of variables;that follow a binomial probability distribution? What are examples of variables;that follow a Poisson distribution? When might you use a geometric probability?;Week 5 discussion;Interpreting Normal Distributions;(graded);Assume that a population is normally distributed;with a mean of 100 and a standard deviation of 15. Would it be unusual for the;mean of a sample of 3 to be 115 or more? Why or why not?;Week 6 discussion;Confidence Interval Concepts (graded);Consider the formula used for any;confidence interval and the elements included in that formula. What happens to;the confidence interval if you (a) increase the confidence level, (b) increase;the sample size, or (c) increase the margin of error? Only consider one of;these changes at a time. Explain your answer with words and by referencing the;formula.;Week 7 discussion;Rejection Region (graded);How is the rejection region defined and how is that;related to the z-score and the p value? When do you reject or fail to reject;the null hypothesis? Why do you think statisticians are asked to complete;hypothesis testing? Can you think of examples in courts, in medicine, or in;your area?;This section lists options that;can be used to view responses.
Paper#61145 | Written in 18-Jul-2015Price : $37