SEMESTER 1 FINAL EXAM REVIEW Vocabulary 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