Stat Terminology Flashcards
Organizing and summarizing data. Describes data through numerical summaries, tables, and graphs.
Descriptive statistics
Numerical summary based on a sample.
Statistic
Takes results from a sample, extends them to a population land measures the reliability of the result.
Inferential statistic
Statistic to estimate a numerical summary of a population
Parameter
Classification of individuals based on some attribute or (charateristic)
Qualitative or categorical variables
Provide numerical measures of individuals
Quantitative variables
Either a finite number of possible values or a countable number of possible values
Discrete variable
Infinite number of possible values it can take on and can be measured to any desired level of accuracy.
Continuous variable
Focus of a question
Response variable
Explain changes in the response variable
Explanatory variable
Measures the value of the response variable without attempting to influence the value of either variable
Observational study
Intentionally changes the value of the explanatory variable
Designed experiment
controlled study conducted to determine the effect of varying one or more explanatory variables has on a response variable.
Experiment
The values of the explanatory variable applied
Treatments
is a person, object or some other well-defined item upon which a treatment is applied.
Experimental unit
serves as a baseline treatment that can be used to compare to other treatments.
Control group
is an innocuous medication, such as a sugar tablet, that looks, tastes, and smells like the experimental medication.
Placebo
refers to nondisclosure of the treatment an experimental unit is receiving.
Blinding
experiment is one in which the experimental unit (or subject) does not know which treatment he or she is receiving.
Single-blind
experiment is one in which neither the experimental unit nor the researcher in contact with the experimental unit knows which treatment the experimental unit is receiving.
Double blind
is the process of using chance to select individuals from a population to be included in the sample
Random sampling
sample of size n from a population of size N is obtained through
Simple random sampling
(a member of the population can be selected more than once)
With replacement
(a population member may not be selected a second time).
Without replacement