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Question: An expert witness for a paternity lawsuit testifies that the length of a pregnancy is normally distributed with a mean of 280 days and a standard deviation of 13 days. An alleged father was out of the country from 240 to 306 days before the birth of the child, so the pregnancy would have been less than 240 days or more than 306 days long if he was the father. The birth was uncomplicated, and the child needed no medical intervention. What is the probability that he was NOT the father? What is the probability that he could be the father? Calculate the z-scores first, and then use those to calculate the probability.
Students that are in the top 5% will receive a 20% off coupon at the "Crazy" cafeteria. What is the minimum number of attendance days that you should have in order to receive such discount?"
Critically discuss why you would or would not expect each of the following variables to be normally distributed.
rolling a fair eight-sided die produces a uniformly distributed set of numbers between 1 and 8 with a mean of 4.5 and a
Analyse a Descriptive a Q-Q Plot - Analyse a Descriptive a Correlate a Bivariate and Analyse a Descriptive a Scale a Reliability Analysis
Ten people agree to take part in an experiment designed to determine whether a persons weight differs between morning & evening.
What figures do you need to calculate for this test? How many degrees of freedom are there? What is the value of the chi-square statistic for this table? What is the p-value of this statistic
Four predictor variables are being considered for use in a linear regression model. Given the accompanying correlation matrix, does it appear that multicollinearity could be a problem?
A business has 5 telephone lines. The first rings every minute on the average, the second every ½ minute, the third every 2 minutes, the fourth every 5 minutes,
A CEO of a large pharmaceutical company would like to determine if he should be placing more money allotted in the budget next year for television advertising of a new drug marketed for controlling asthma.
Run a regression analysis of the data and determine whether there is a linear relationship between inflation and total return on stocks for the periods under study.
What is the difference between this regression-predicted value and the actual price at the end of December 2000? What is your analysis of linear regression in stock-prediction scenarios?
The best we can do is to use one-way ANOVA and make sure to randomize the treatments to the experiment units. Why is such a randomization important?
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