Pysch midterm 2
standard normal distribution - CORRECT ANSWER-A normal distribution with a
mean of 0 and a standard deviation of 1.
z score equation - CORRECT ANSWER-z = (x - u) / o
z score to raw score - CORRECT ANSWER-X = z(o) + u
What does it mean when someone has a z score of 1 - CORRECT ANSWER-they
are one standard deviation above the mean
What % of values fall between z scores of +-1 - CORRECT ANSWER-68%
What % of values fall between z scores of +- 1.96 - CORRECT ANSWER-95%
The central limit theorem - CORRECT ANSWER-how a distribution of sample means
is a more normal distribution than a distribution of scores
Distributions of means - CORRECT ANSWER-a distribution composed of means
that are calculated from all possible samples of a given size, taken from the same
population
As sampling size increases, what happens to the distribution of means - CORRECT
ANSWER-becomes more normal
standard error - CORRECT ANSWER-Om = o/srqt(N)
z statistic - CORRECT ANSWER-z = (M - uM)/oM
How to calculate percentile for a positive z score - CORRECT ANSWER-50 + %
mean to z
Calculating percentage above a positive z score - CORRECT ANSWER-% in tail
Calculating percentage rank for a negative z score - CORRECT ANSWER-% in tail
Calculating the percentage above a negative z score - CORRECT ANSWER-50 + %
mean to z
calculating the percentage at least as extreme as our z score - CORRECT
ANSWER-2x % in tail
standard normal distribution - CORRECT ANSWER-A normal distribution with a
mean of 0 and a standard deviation of 1.
z score equation - CORRECT ANSWER-z = (x - u) / o
z score to raw score - CORRECT ANSWER-X = z(o) + u
What does it mean when someone has a z score of 1 - CORRECT ANSWER-they
are one standard deviation above the mean
What % of values fall between z scores of +-1 - CORRECT ANSWER-68%
What % of values fall between z scores of +- 1.96 - CORRECT ANSWER-95%
The central limit theorem - CORRECT ANSWER-how a distribution of sample means
is a more normal distribution than a distribution of scores
Distributions of means - CORRECT ANSWER-a distribution composed of means
that are calculated from all possible samples of a given size, taken from the same
population
As sampling size increases, what happens to the distribution of means - CORRECT
ANSWER-becomes more normal
standard error - CORRECT ANSWER-Om = o/srqt(N)
z statistic - CORRECT ANSWER-z = (M - uM)/oM
How to calculate percentile for a positive z score - CORRECT ANSWER-50 + %
mean to z
Calculating percentage above a positive z score - CORRECT ANSWER-% in tail
Calculating percentage rank for a negative z score - CORRECT ANSWER-% in tail
Calculating the percentage above a negative z score - CORRECT ANSWER-50 + %
mean to z
calculating the percentage at least as extreme as our z score - CORRECT
ANSWER-2x % in tail