Ch 12 Flashcards
Ordinal scale
Levels exhibit minimal quantitive distinction first second third scale rank
Interval scale
The intervals between the levels are equal in size there is no absolute zero point
Ratio scale
Both have equal intervals and an absolute zero time weight length
Frequency distribution
Indicate the number of individuals who receive each possible score on a variable
Frequency polygon
Use a line to represent the distribution of frequencies of scores
Histogram
Uses bars to display a frequency distribution for a quantitative variable
Descriptive statistics
Allows researchers to make precise statements about data and two numbers summarize the information contained in a frequency distribution
Central tendency
Tells us what the sample as a whole or on the averages like mean median and mode
Mean
Only used one scores are measured on an interval or ratio scale
Median
Appropriate when scores are on an ordinal scale
Mode
Mode is the only measure of central tendency that is appropriate if nominal scale is used
Variability
A number that here during the amount of spread in a distribution of scores
Standard deviation
Indicates the average deviation of scores from the mean
Variance
Standard deviation is the square root of variance
Range
Difference between highest and lowest score
Correlation coefficient
A statistic that describes how strongly variables are related to one another
Pearson product moment
Used in both variables have interval or ratio scale provides info about the strength the relationship and the direction of the relationship
Restriction of range
Occurs when the individuals in your sample are very similar on the variables you are studying
Effect size
Refers to the strength of association between variables
Regression equation
Calculations used to predict a person score on one variable with that person score on another variable is already know
Criterion variable
When researchers are interested in predicting some future behavior
Predictor variable
Maybe basis of a person score on some other variable
Multiple correlation
Used to be combined in number of predictor variables to increase the accuracy of prediction of a given criterion or outcome variable
Partial correlation
Provides a way of statistically controlling third variables