Chapter 5 Chapter 6 Chapter 7 Write it Out
100
zero
What is the mean of the z-score distribution
100
Inferential Statistics
What type of statistics uses sample data to answer questions about the populations?
100
False.
Standard error is the amount of error between a sample statistic and its corresponding parameter.
True or False. Standard error implicates that a mistake was made in the study.
100
Z = (X-μ) / σ
What is the equation to find the z-score from an X-value?
200

Same
What shape is the z-score distribution in relation to the x-value distribution it was taken from?
200
Probability
What is the fraction or proportion of all possible outcomes?
200
The larger the sample size, the more probable the sample mean will be closer to the population mean.
n ≥ 30
What is the law of large numbers, and what sample size should you try to obtain to meet this?
200
Xnew = μ + z(old score)σ
What is the equation to find the new X-value from and old one?
300
Yes
YesAre all z-scores comparable to each other?
300
Normal Distribution
A distribution that is symmetrical, the bulk of scores are in the middle, and there is a low frequency in the tails is called what?
300
Central Limit Theorem
What theory is used to specify the shape, central tendency, and variability of the distribution of sample means?
300
σM = (σ) /√ n
What is the equation to find standard error of means
400
Standard Deviation Units
In what units are Z score expressed in?
400
Sampling with replacement
A sample process where each individuals has an equal chance of being selected, and the probability remains constants from one selection to the next, is called what?
400
Standard error of M
σM
Variability of a distribution of sample means is measured by the standard deviation of the sample means and is called...?
400
z = (M - μ) / σM
What is the equation to find the z-score for standard error means.
500
X - μ or X - Mean
The deviation score is expressed as what algebraically?
500
-0.67 & +0.67
What z-score represents the 1st and 3rd quartiles in a normal distribution? (25th percentile and 75 percentile)
500
Expected value of M
What is the mean of the distribution of sample means
500
SS = ΣX^2 - ((ΣX)^2) / N
What is the computational formula for finding the SS






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