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Material Type: Exam; Class: FIRST-YEAR INTEREST GROUP SMNR; Subject: Nursing; University: University of Texas - Austin; Term: Unknown 1989;
Typology: Exams
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The Normal Distribution: Worksheet (Covered in class, but also read Williams, Chap. 5) Relationships between the Sample, a Sampling Distribution and the Population
How about the proportion above +2.05z? _________ How about below +2.05z? _____________ Here’s how the normal curve can be used to approximate proportions in a large population:
b. What percent of women in this age group are taller than 64 inches? Taller than 66.5 inches? Shorter than 59 inches? c. If one were to take a random sample of 1000 women in this age group how many would we expect in our sample to be below -1.6 z-scores? When you move out + and - for the following z-scores on either side of the mean, what percentage of the normal distribution (or percentage of the sampling distribution) do you "capture" or account for? (You will need the TABLE of z-scores to do this.) z-score Percent of ND "captured"
standard error of the mean calculates how much variability there would be if we did take a true random sampling distribution from the population. Standard deviation of the sampling distribution of means is called the standard error of the mean. It's formula looks like This formula, again, calculates the standard error of a sampling distribution of the mean,
The formula must be calculated as shown above and then inserted into the following: CI 95 Xz 95 ( M )μXz 95 ( M ) Here are some practice problems:
Answers: