SEMESTER 1 FINAL EXAM REVIEWVocabulary Review (All Gathering Data Vocabulary)

Vocabulary Final Exam Review You will work independently to write

down the vocabulary term that matches the definition on the slide shown.

Only Items On Your Desk: White Board Sock White Erase Marker Everything else…underneath your chair

A numerical summary of a sample

Statistics

The entire group of individuals to be studied

Population

Errors that result from undercoverage, nonresponse bias, response bias, or data-entry error

Nonsampling Error

Nondisclosure of the treatment an experimental unit is receiving

Blinding

Numerical summary of a population

Parameter

Innocuous medication, such as a sugar pill.

Placebo

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

Requires the experimental unit to look back in time or requires the researcher to look at existing records

Retrospective

Each experimental unit is randomly assigned to a treatment

Completely Randomized Design

Consists of organizing and summarizing data. •Descriptive statistics describe data through numerical summaries, tables, and graphs.

Descriptive Statistics

Subset of the population that is being studied

Sample

Characteristics of the individuals within the population

Variable

Classification of individuals based on some attribute or characteristic•Categorical

Qualitative Variable

Numerical measures of individuals•Only numerical!

Quantitative Variable

The “X” variable

Explanatory Variable

Researcher assigns the individuals in a study to a certain group, intentionally changes the value of the explanatory variable, and then records the value of the response variable for each group

Designed Experiment

Results of the sample are not representative of the population

Bias

Exists when individuals selected to be in the sample who do not respond to the survey have different opinions from those who do.

Nonresponse Bias

Measures the value of the response variable without attempting to influence the value of either the response or explanatory variable. •Simply, the researcher observes and does not influence

Observational Study

Observations corresponding to

a quantitative variable

Quantitative Data

Obtained by separating the population into non-overlapping groups called strata and then obtaining a simple random sample from each stratum. •Simply, a stratified sample is a simple random sample of different divisions of the population

Stratified Sample

The “Y” variable

Response Variable