Introduction to Statistics

Count or measure of part of a population

the entry is not an inherent zero

numerical description of a SAMPLE characteristic

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

branch of statistic that involves organizing, summarizing and displaying data

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

Information coming from observations, counts, measurements or responses

When the population falls into naturally occurring subgroups

A count or measure of an entire population

members divided into two or more subsets that share similar charactersitics

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

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

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

Involves a sample to draw conclusions about a population

researcher deliberately applies a treatment before observing the repsonses

consists of numerical measurements or counts

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

data categorized using names, labels or qualities

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

The repetition of an experiment under the same or similar conditions

The process of randomly assigning subjects different treatment groups

added property that a zero entry is an inherent zero

Consist of attributes, labels or non numerical entries

Data arranged in order or ranked

researcher does not influence the responses

no treatment applied

numerical description of a POPULAR characteristic

Treatment applied to part of the population

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

Subset, or part of, a population

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