Ex 1 Flashcards
Mutually Exclusive variable
A type of variable that permits each case to be counted in one and only one category
Exhaustive Variable
Meaning a category is provided for each possible category
Independent Variable
A variable that is identified as a casual variable. Thought to cause the dependent variable
Dependent Variable
The variable that is effected, resultant, or the outcoem. It is caused by the independent variable
Three Levels of Measurement
Represented by nominal, ordinal, and interval-ratio variables
Nominal Variable
Variables at this level have categoies that are not numerical. They incldue gender, zip code, race, religion. Lowest level of measurement. Only comparison permited is that of category size
Ordinal Variable
- More sophisticated than nominal
- Scores or categories that can be ranked from high to low
- We can say cases are higher or lower
- upper, middle, working, lower
Interval Ratio Variable
These variables provide distances between ranks, quantitative.
- Measured in units that have equal intervals.
- Have true zero point
- Age, number of children, income
Descriptive Statistics
Statistic techniques to organize and describe data from sample/ population
- Measure of central tendency
- measure of tendency
Inferential Statistics
Make predictions based upon data from sample
Poppulation
The total colelction of all cases in which the researcher is interested and wishes to understand better
-All possible cases
Sample
A carefully chosen subset of a population. In inferential stats, information is gathered from a sample and then generalized to a population
Sample statistics
What we find in a sample
Cumulative frequency
In frequency distribution that displays the number of cases within an interval and all preceding intervals
Cumulative percentage
In frequency distribution displays percentage of cases within an interval and all preceding intervals