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Use the binomial distribution in the Data Analysis add - in to simulate the distribution of men and women among the next ten arrivals at an emergency room, assuming that, on average, six people out of ten who arrive are men. Generate a random seed using RAND() . Simulate the arrival of fifty sets of ten people. Use the COUNTIF() function to determine how many of the fi fty sets of ten people will be all men and how many will be nine men and one woman.
Mary claims that the range, standard deviation and variance are all measures of dispersion. John adds to Mary's claim by stating that the coefficient of variation is a measure of relative dispersion.
Find the probability that in a given year,a) Exactly one major hurricane will strike the U.S. mainland
A defective picture tube was discovered in the latest shipment. What is the probability that it came from Tyson Wholesale?
Based on a study of heights of men and women who do gymnastics, a researcher concludes that the exercise from playing gymnastics causes people to become shorter. Do you agree with this conclusion?
Questions based on binomial distribution, variance of the binomial distribution, discrete random variable and continuous random variables.
If the same sample results had been obtained from a random sample of 16 students, could the students' claim be accepted at a lower level of significance?
Supposing that both populations are normally distributed, construct a 99% confidence interval for the ratio of the two population variances.
Please explain the term analysis variance so a person without formal statistics education can understand.
Calculate descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are the most volatile? Calculate the value of beta for each stock.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
What is the range of correlation coefficient? Give a real world example of positive and negative correlation. Do you want stocks which are highly correlated with each other or less correlated? Why?
Finding the Equation of the Regression Line and Making Predictions. Find the regression equation,
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