Standard Deviation (Ch 4)
Z-Scores (Ch 5)
Z Scores (Ch 6)
Standard Error (Ch 7)
Central Limit Theorem and Z Scores (Ch 7)
100
Notation for Variance
What is s^2 and σ^2
100
Tells us exactly where one score is located relative to other scores by standardizing all the scores.
What is a z score
100
When using the Unit Normal Table to find the probability, the larger section is called _____.
What is the body.
100
Describes the uncertainty of how well a sample mean represents the population mean.
What is standard error of the mean
100
Can make predictions about the distribution of sample means: _____, _______, and _______
What is shape, mean, and variability
200
Notation for Standard Deviation
What is s and σ
200
The sign of a z-score determines ________.
What is the direction, whether the x value is above or below the mean.
200
Which column would you use on the Unit Normal Table if you were asked to find the probability between one score to another score.
What is Column D
200
Notation for Standard Error
What is σM
200
The shape is guareented to be normal if either: (1) population that samples are from is normal and (2) sample size is n = ___ or more.
What is 30
300
A sample of n = 25 scores has M = 20 and s^2 = 9. What is the sample standard deviation?
What is 3
300
With z-scores, the mean will always equal ___ and the standard deviation will always equal ____.
What is 0 and 1
300
What is the probability of having an IQ score of 85 or less in your sample? M = 100 s = 15
What is p(< 85) = 0.1587 = 15.87%
300
Calculate Standard Error for a sample size of 14. If µ = 80 and σ = 20.
What is 5.35
300
True or False: µM = µ
What is True
400
Calculate the Standard Deviation and Variance. N =100 n = 5 x = 2, 4, 5, 6, 8
What is Variance = 5 and Standard Deviation = 2.24
400
Find the z-scores for a score of x = 60. µ = 40 and σ = 10.
What is +2.00
400
Find the probability of an IQ of 130 or greater. IQ Mean = 100 with a Standard Deviation of 15.
What is 0.0228 = 2.28%.
400
Calculate Standard Error for a sample size of 14. If µ = 45 and σ = 10.
What is 2.67
400
Find the z-score for sample mean of M = 44. If µ = 40 and σ = 8. Z-score when n = 4.
What is z = +1.00
500
Can the variance or standard deviation ever be a negative number?
What is no
500
Find the X values for z-scores from a sample with M = 25 and s = 4. z score = +2.20
What is 33.8
500
Find the probability of an IQ between 80 and 115. Mean = 100 Standard Deviation = 15
What is 0.7495 = 74.95%
500
Calculate Standard Error for a sample size of 14. If µ = 72 and σ = 6.
What is 1.60
500
Find the probability of getting a sample mean greater than M = 60 for a random sample of n = 16. If µ = 65 and σ = 20. Solving for p(M > 60) = ?
What is p(M > 60) = 0.8413 = 84.13%
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