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Chi-square test for independence of attributes.
An investment portfolio manager categorized her investors as having moderate, medium or high incomes, based on their records. She then rates their overall degree of investment risk from an analysis of the profile of their investments. Counts for investor income and investment risk for 1094 randomly selected investors from one of her investment funds are given in Table 1. She is interested to see if a relationship exists between declared income level and degree of investment risk.
(i) Explain why a x2 test of the resulting contingency table is appropriate for such an investigation.
(ii) Under take a suitable x2 test to establish if there is any evidence, at the 5% significance level, that investment risk depends on level of income.
The correct set of hypotheses to test the effect of the bonus plan, the difference between the t and z distributions
A pediatrician is interested in studying the effect of Motrin on reducing temperature in young children. Four children with influenza have their temperatures taken immediately before and then 20 minutes after taking a standard dose
Develop a 95% confidence interval of the difference between the daily population means for the two airports.
At 5% level of significance, does this sample prove violation of guideline that average patient must pay no more than $250 out-of-pocket? Write your hypotheses and decision rule.
Do the data provide significant support for any preferences among the three brands? Test At the .05 level of significance.
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
The registrar of a college with a population of N=4,000 full-time students is asked by the president to conduct a survey to measure satisfaction with the quality of life on campus.
Assume the population standard deviation is 1.2 hours. The standard error of the mean is:
Determine the probability that at most 4 fish will be killed?
How many samples would be needed to create a 99 percent confidence interval that is within 0.02 of true proportion of premium grade fuel-quality failures.
Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is.
Test whether there is a difference in the mean of times men and women and determine the p-value.
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