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Vocabulary
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Statistics
a set of mathematical procedures for organizing, summarizing, and interpreting information
Population
the set of all the individuals of interest in a particular study. NOT just humans, whatever area is of focus
Sample
a set of people selected from a population
Random Sample
everyone in the population has an equal chance of being selected
Variable
characteristic or condition that changes or has different values for different individuals
Data
measurement of operations
Data Set
collection of measurements or observations
Datum
single measurement or observation **also called a raw score
Parameter
value, usually numerical, describes a population
Statistic
value, usually numerical, describes a sample
Descriptive Statistics
statistical procedures used to summarize, organize, and simplify data
Inferential Statistics
techniques that allow us to study samples and make generalizations about the populations from which they were selected
Sampling Error
naturally occurring discrepancy that exists between a sample statistic and the corresponding population parameter
Constructs
internal attributes or characteristics that cannot be directly observed but are useful for describing or explaining behavior
Operational Definition
identifies a measurement procedure (set of operations) for measuring an external behavior, and uses the results as a definition and a measurement as a hypothetical construct
Discrete Variable
consists of separate, invisible categories. No values can exist between two neighboring categories
Continuous Variable
infinite number of possible values between any two observed values. A continuous variable is divisible into an infinite number of fractional parts
Real Limits
the boundaries of intervals for scores that are represented on a continuous number line
Upper & Lower Real Limit
top & bottom of interval, respectively
Nominal Scale
consists of categories with different names. Label and categorize, but do not make quantitative distinctions
Ordinal Scale
a set of categories that are in an organized sequence. Rank observations by size or magnitude
Interval Scale
ordered categories that are all intervals of (exactly) the same size
Ratio Scale
interval scale with an absolute zero point
Descriptive Research
measuring one or more separation variables for each individual, with the intent of simply describing the individual variables
Correlation Method
two different variables are observed to determine if there is a correlation between them
Experimental Method
one variable is manipulated which the other variable is observed and measured
Individual Differences
differences between participants
Independent Variable
manipulated variable
Dependent Variable
observed variable
Controlled Condition
no treatment (e.g. placebo group)
Experimental Condition
variable is introduced (e.g. group with drug)
Quasi-Independent Variable
non-experimental study that is used to create different groups of scores (independent variable)
Frequency Distributions
an organized tabulation of the number of individuals located in each category on the scale of measurement
Percentile Rank
the percentage of individuals with scores above or below the particular value
Summation Symbol
∑
Central Tendency
a statistical measure to determine a single score that defines the center of a distribution
The Mean
the sum of the scores divided by the number of scores
Median
mid-point of scores
The Mode
score of category that has the greatest frequency
The Weighted Mean
combination of two scores
Variability
a quantitative measure of the differences between scores in a distribution and describes the degree to which scores are spread out/or clustered together
Z-score
the precise location of each x value within a distribution