LESSON 13 Flashcards
Are procedures for organizing and summarizing sample data whenever your purpose is merely to describe a set of data, you are employing descriptive statistics
DESCRIPTIVE STATISTICS
Are procedures for drawing inferences about the scores and relationship that would be found in the population.
INFERENTIAL STATISTICS
Complete set of events in which you are interested
POPULATION
Can be defined as the entire collection of events in which you are interested.
POPULATION
Set of actual observations; subset of a population
SAMPLE
Numerical value summarizing sample data.
STATISTIC
Numerical value summarizing population data.
PARAMETER
Consists of numerical measurements or counts
MEASUREMENT/QUANTITATIVE DATA
Consists of attributes, labels, or non - numerical entries
CATEGORICAL/ QUALITATIVE DATA
Result when the number of possible values is either a finite number or a “countable” number
DISCRETE DATA
result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions, or jumps
CONTINUOUS (NUMERICAL) DATA
Characteristics of relations among numbers assigned to objects
SCALE OF MEASUREMENT
determines which statistical calculations are meaningful.
LEVEL OF MEASUREMENT
a variable that does not really have any evaluative distinction. Examples: sex (gender), jersey number, colors, ethnicity, marital status, birth place
NOMINAL
Calculated using names, labels, or qualities. No mathematical computations can be made at this level
NOMINAL
there is “order”. One value is greater than or better than the other. Examples: ratings, education levels, socio economic status (low income, average income, high income), top 5 in a contest
ORDINAL
Arranged in order, the differences between data entries are not meaningful.
ORDINAL
Arranged in order, the differences between data entries can be calculated.
INTERVAL
data can be categorized and ranked but evenly spaced, and zero is no true point. Examples: test scores, personality inventories, temperature
INTERVAL
same with interval but zero is true point.
Examples: height, age, weight,
RATIO
A ratio of two data values can be formed so one data value can be expressed as a ratio.
