Chapter 1 (Woods ver.)
Order by
28 terms
Terms | 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 |
First Time Here?
Welcome to Quizlet, a fun, free place to study. Try these flashcards, find others to study, or make your own.