Chapter 5 | Chapter 6 | Chapter 7 | Write it Out |
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zero
What is the mean of the z-score distribution
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Inferential Statistics
What type of statistics uses sample data to answer questions about the populations?
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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.
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Z = (X-μ) / σ
What is the equation to find the z-score from an X-value?
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Same
What shape is the z-score distribution in relation to the x-value distribution it was taken from?
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Probability
What is the fraction or proportion of all possible outcomes?
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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?
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Xnew = μ + z(old score)σ
What is the equation to find the new X-value from and old one?
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Yes
YesAre all z-scores comparable to each other?
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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?
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Central Limit Theorem
What theory is used to specify the shape, central tendency, and variability of the distribution of sample means?
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σM = (σ) /√ n
What is the equation to find standard error of means
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Standard Deviation Units
In what units are Z score expressed in?
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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?
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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...?
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z = (M - μ) / σM
What is the equation to find the z-score for standard error means.
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X - μ or X - Mean
The deviation score is expressed as what algebraically?
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-0.67 & +0.67
What z-score represents the 1st and 3rd quartiles in a normal distribution? (25th percentile and 75 percentile)
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Expected value of M
What is the mean of the distribution of sample means
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SS = ΣX^2 - ((ΣX)^2) / N
What is the computational formula for finding the SS
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