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1) When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?
2) What role do z-scores play in this transformation of data from multiple distributions to the standard normal distribution?
3) What is the relationship between z-scores and percentages?
An investigator wants to design a study to estimate the difference in the mean BMI between boys and girls age 12 living in new york city. How many boys and girls are needed to ensure 95% confidence interval estimate for the difference in mean BMI ..
What is the probability that a person who has submitted one entry will win the following?
A campus organization will select one day of the week for an end of year picnic. Assume that the weekdays, Monday through Friday, are equally likely and that each weekend day
Give a 95% confidence interval for the mean of the population from which the sample is drawn.
Make a scatter plot of Y and X1 using Word. To do this click on insert and then chart. Click on X Y (Scatter). Enter the data from the table.
A local group claims that the police issue more than 60 speeding tickets a day in their area.
What is the relationship between a confidence interval and a single sample, two-tailed hypothesis test? How are they the same? How are they different?
Conclude the finite population, correction factor.With the population size of 1,000 and a planned sample size of 200, what is the finite population, correction.
Over the last year the absentee rate at a large corporation averaged 8.2 days absent with a standard deviation of 6 days. One department with 40 employees had an absentee rate of 12 days per employee.
A researcher wants to determine a 95% confidence interval for the mean number of hours that UMKC students spend doing homework per week.
The state's smallest animal is a red-tailed gerbil, with a mean weight of 2.5 grams and a standard deviation of 0.25 grams. Assuming that the weights are normally distributed
The researchers planned to use simple linear regression to see if the age at which a baby was first able to crawl could be predicted from the average outdoor temperature six months after each baby's birthdate.
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