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Suppose that people's heights (in centimeters) are normally distributed, with a mean of 165 and a standard deviation of 6. We find the heights of 40 people.
(a) How many would you expect to be between 157 and 173 cm tall?
(b) How many would you expect to be taller than 160 cm?
For a particular value, this table gives the percent of scores between the mean and the z-value of a normally distributed random variable. What percent of the total population is found between the mean and the z-score, assume z = 2.93.
Assuming that the Poisson distribution is a plausible model in describing variability of asbestos fiber counts in filters; derive a 95% confidence interval indicating the variability in the average number in asbestos fibers.
Produce a printout of the frequency tables, showing the total of both frequencies.
What is your initial perception of this information? What are other ways, beyond looking at the p-value alone, you could use to try to interpret what this outcome of r(2398) = -.21 tells us about the relationship between length of time taking drug..
Please use a combination of content and supportive examples.
Using multiple linear regression, compute the regression equation for the following data in Excel.
A random sample of 20 vice presidents of Fortune 500 firms is taken. The amount each vice president paid in federal taxes as a percentage of gross income is determined.
Determine the completion time and standard deviation (σ) for project roundoff the standard deviation to the nearest hundredth: two decimal places.
The probability that a randomly selected elementary or secondary school teacher from a city is female is 0.68, holds a second job is 0.38, and is female and holds a second job is 0.29.
What would be a good example of a null and alternative hypotheses for a decision relevant in life? What Type I and Type II errors could occur with your decision-making process?
For which of given variables must a "two tail" t-test be applied?
For any distribution the score that separates the highest 10% from the rest of scores is called.
In a large section of statistics class, the points for the final exams are normally distributed with a mean of 72 and a standard deviation of 9. Grades are to be assigned according to the following rule.
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