Correlations
Linear Regression
Random Sampling & Probability
Binomial Distribution
Potpourri
100
A correlation coefficient of 3.25 can be classified as:
What is impossible?
100
The purpose of a linear regression.
What is predict Y based on X?
100
The type of sampling which forms the basis for inferential statistics.
What is sampling with replacement?
100
P + Q = ?
What is 1?
100
This temperature scale is an example of a ratio scale.
What is the Kelvin scale?
200
This provides information about the strength and magnitude of a correlation.
What is the r value or correlation coefficient?
200
The axis on which the value to be predicted is placed.
What is the Y axis?
200
The number of times A has occurred divided by the total number of occurrences.
What is a posteriori probability?
200
Pevents + Qevents =
What is N
200
Value on a measurement scale below which a specified percentage of the scores in the distribution fall.
What is percentile or percentile point?
300
This provides information on the amount of variance in one variable explained by another.
What is the coefficient of determination?
300
This is the slope of the least squares regression line.
What is bY
300
A set of events is ____ if it includes all of the possible outcomes.
What is exhaustive?
300
A binomial distribution in which P <> .50.
What is biased?
300
Another name for a z score.
What is a standard score?
400
The name of the value resulting from this calculation.
What is the sum of the cross products?
400
This quantifies the predication errors around the regression line.
What is the standard error of the estimate?
400
p(A and B) = 0.
What is the multiplication rule with mutually exclusive events?
400
The binomial distribution is generated from this.
What is the formula for binomial expansion?
400
The mean and standard deviation of the z distribution.
What are 0 and 1?
500
This formula represents:
What is the conceptual equation for the Pearson r?
500
This method of regression includes more than one predictor variable.
What is multiple regression?
500
p(A and B) = p(A)p(B|A)
What is the multiplication rule with dependent events?
500
This phrase indicates the need to sum the probability in both tails.
What is as extreme or more extreme than?
500