Behavioral Statistics Exam 1

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54 Terms

1

Data?

Bits and pieces of information.

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Descriptive statistics?

Using numbers to describe or condense a larger group of numbers. Breaking data down to an understandable idea.

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Inferential statistics?

Allow researchers to draw conclusions or make inferences about a large group of numbers based on the data from a smaller sub-group.

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4

Statistics?

Numerical characteristics of samples.

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5

Population?

Each and every member of a defined group.

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Sample?

A sub-group of the population.

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Random Sample?

Intended to provide us with a representative sample - each and every member of a population has an equal probability of being chosen.

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Sampling Error?

Aspects of a sample who aren't doing their job. "Dumb luck" or "Chance".

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9

Variables?

Anything that varies or changes what we are trying to measure.

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10

Operational definition (Variable)?

Specifying in precise terms exactly what is meant by a specific variable.

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11

Quantitative Variable?

variables in which a score indicates the number of variables that are present. Ex. Test scores, height, weight, income. HAVE "REAL LIMITS".

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12

Qualitative Variable?

variables classify or categorize an individual based on some characteristic. Ex. hair color, music, party affiliations.

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Nominal?

Does not measure an amount; rather, it categorizes or classifies individuals.

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Ordinal?

 Indicates rank order.

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Interval Scale?

Distinguishes one thing from another etc. Has equal distance between values. Lacks a true Zero point. Ex. fahrenheit and celcius.

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Ratio Scale?

Distinquishes one thing from another. Has equal distance between values. Has a true Zero point. Ex. Height, weight, test scores.

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N.O.I.R.?

Nominal, Ordinal, Interval, Ratio = 4 scales.

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Research Design?

How the gathering of data is conducted. If you screw up the gathering of data - the 1st step- there is no way to go back to fix it.

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Methodology?

How we go about getting the numbers together.

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Correlation Research?

Goal is to describe the level of the association between 2 or more variables.

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Survey or Questionnaire?

Most common form of research correlation research.

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22

Naturalistic Observation?

Observing behavior in natural environment.

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23

Case study?

A very detailed description of one individual.

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Experimental Research?

Research that happens in a Lab / in a controlled environment.

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Hypothesis?

A specific testable prediction that will either be proven true or untrue.

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Control Group?

Group that does not receive the treatment( or does not have the characteristics of interest).

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Experimental Group?

Receives whatever the independent variable is.

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Parameters?

Numerical characteristics of a population.

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29

Measures of central tendency?

Different ways to conceptualize averages.

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30

Mean?

Appropriate measure of central tendancy for the interval and ratio scales of measure.

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Discrete variable?

Can only be measured in fixed amounts.

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Continuous variable?

Can be measured in fractional amounts.

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Variation?

Differences or changes in an item.

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Categorial

Describes a quality or class.

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Numerical?

Describes a quantity or measurement.

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36

Skewed?

Lack of symmetry.

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Positively Skewed Distribution?

Disproportionately large # of low scores and a few extreme high scores. Mode>Median>Mean

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