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1. What are the assumptions underlying a normal distribution?
2. What are the assumptions underlying a binomial distribution?
3. Why do we want to assume that our sample data represent a population distribution?
4. What are the differences between the binomial and normal distributions?
5. What are the similarities between the binomial and normal distributions?
First explain what the Gini coefficient is and what hypothetical Gini values of 0 and 1 mean. Sort the data by the Gini coefficient in 2000 and look at the list of countries.
What happens to the confidence interval when we go from a 95% confidence level to a 99% confidence level? Is this desirable? When would we want to use a 99% confidence interval?
What test can be performed to compare the percentage of participants who developed abnormal triglyceride levels between the vitamin A and the trace group? Report a two-tailed p value.
A bank official reported the results of a regression analysis designed to predict the bank's charges (y), measured in dollars per month, for services rendered to local companies.
Make for more scatter plots comparing GDP growth 1970-2000 to corruption, political rights, rule of law, and socio-political instability
Pick a random sample of 50 homes from the enclosed 90 cases. Double the asking price and selling price and use this data to develop three predictive models:
Find the average age at which people will experience their first cardiac incident, given that 17% of all initial cardiac incident victims are younger than 50. Please, interpret the result.
Your objective is to maximize the expected utility of your final fortune (after 4 bets). If you are a log-utility investor, determine the optimal policy and find the maximal expected utility.
brief discussion telling why you chose this particular data set to study. As in discussion two, I am hoping that you will choose data that has some relevance to your life.
Using an alpha of .05, what can you conclude about homogeneity of variance from the output? Word process your responses on the SPSS output pages.
They found that those with higher levels of cigarette use had lower GPAs, and vice versa. What can you rightfully conclude from this? Why? Be specific about what this kind of information may indicate and mean.
Cars pass a certain street location according to a Poisson process with rate λ. A woman who want to cross the street at that location waits until she can see that no cars will come by in the next T time units.
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