Intro to Statistics

experimenter cannot tell the difference between the effects of different factors on variable

When the entire heterogeneous group is chosen at random to sample

The repetition of an experiment under the same or similar conditions

Consist of attributes, labels or non numerical entries

Collection of all outcomes, responses, measurements or counts that are of interest

The science of collecting, organizing, analyzing & interpreting data in order to make decisions

researcher does not influence the responses

Variables that can only take on a finite number of values

no treatment applied

Every member of the population has an equal chance of being selected

Subset, or part of, a population

harmless fake treatment that is made to look like the real treatment

Treatment applied to part of the population

technique where the subjects do not know whether they are receiving a treatment or a placebo

experimenter nor the subjects know if the subjects are receiving a treatment or a placebo

Consist only of members of the population that are easy to get

Count or measure of part of a population

Information coming from observations, counts, measurements or responses

A sample in which each member of the population is assigned a number

numerical description of a POPULAR characteristic

is a quantity that may change within the context of a mathematical problem or experiment

a variable whose value depends on that of another.

When the population is divided into homogeneous groups and individuals are sampled from EACH group

The process of randomly assigning subjects different treatment groups

mathematical or physical model to reproduce the conditions of a situation or process

All individuals or instances were not equally likely to have been selected

A count or measure of an entire population

researcher deliberately applies a treatment before observing the repsonses

consists of numerical measurements or counts

numerical description of a SAMPLE characteristic