Chapter 1 (Woods ver.)

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Created by:

manamari  on September 12, 2010

Subjects:

behavioral statistics

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Chapter 1 (Woods ver.)

Statistics
pieces of information presented in numerical form; this includes pictures (e.g. graphs, figures) too
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Definitions

Statistics pieces of information presented in numerical form; this includes pictures (e.g. graphs, figures) too
Population the entire set of all possible occurrences; can be broad or narrow
Sample a subset of a population; often a subset selected for study - ideally, it closely resembles the population
Accurate sampling sample statistics are similar to the population parameter
Inaccurate sampling due to sampling error
2 broad categories of statistics Descriptive and inferential
Descriptive statistics Organize and summarize information
Inferential statistics Make generalized statements about a population; test hypotheses - experiments rely on these
The scientific method A systematic way of gathering and interpreting observations
2 categories of observations Variables (can change); constants (do not change)
Sampling How participants are selected - ideally random sampling is used
Random assignment Placing participants into groups - experimental group and control group
2 types of variables Independent and dependent
Independent variables manipulations; the treatment
Dependent variables measurements; the data
Qualitative variables e.g. names; usually non-numerical
Quantitative variables e.g. exam scores; have numerical values
Discrete variables Change in finite steps; often described with integers (e.g. number of students)
Continuous variables Fall on an infinitely fine-grained scale; can be described with real numbers (e.g. reaction time)
Types of experiments "True"; quasi-experimental; correlational
"True" experiments Random sampling and assignment; manipulation of variables
Quasi-experimental experiments Random selections but NO random assignment
Correlational methods No experimental manipulation; investigate the relationships between variables
4 data scale types Nominal; ordinal; interval; ratio
Nominal scale Described by name or type only; frequency-of-occurrence; no information about order or magnitude - Categorical
Ordinal scale Can put data into orders or ranks; relative placement (no information about magnitude); e.g. order in which people finish a problem-solving task
Interval scale Convey information about differences between numerical observation; relative magnitude (equal size intervals assumed); no information about absolute magnitude; e.g. thermometer
Ratio scale Absolute zero point; can be described with ratios; convey information about absolute magnitude; e.g. all physical measures

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