Introduction to Statistics

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

Level of measurement: data categorized using names, labels or qualities

Level of measurement: it makes sense to say that a data value is a fraction or multiple of another

numerical description of a SAMPLE characteristic

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

When subgroups of the population are like "mini-populations" and entire subgroups are randomly chosen to be the sample

The repetition of an experiment under the same or similar conditions

Level of measurement: No inherent zero aka. zero does not equal none, but represents a number on a scale.

Branch of statistics that focuses on drawing conclusions

consists of numerical measurements or counts

A count or measure of an entire population

Count or measure of part of a population

Variables that can only take on numerical values

refer to ways in which variables/numbers are defined and categorized

Information coming from observations, counts, measurements or responses

A population is divided into similar groups and individuals are randomly chosen from each group

The experimental design in which subjects are grouped by a common characteristic before assigned to treatment group

implies "none"

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

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

branch of statistics that focuses on "the facts"

the group that receives the "medicine"

researcher does not change the subjects' behavior

A sampling method in which every Kth person is asked to participate

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

Level of measurement: Data can be arranged in order or ranked

Consist of attributes, labels or non numerical entries

Subset, or part of, a population

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

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

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

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

The process of randomly assigning subjects different treatment groups

researcher deliberately applies a treatment before observing the repsonses

the group that receives the placebo or no "medicine"

numerical description of a POPULATION characteristic