Data - Answers things about which information can be collected and analyzed
Data set - Answers an arranged collection of information that contains the various categories of data
collected form a specific study
Element - Answers the individual and unique entry in data about which data has been collected,
analyzed, and presented in a similar manner
Variable - Answers a particular, measurable attribute that the researcher believes is needed to describe
the element in the study
Observation - Answers all the information collected from each element in the study
descriptive satistics - Answers a compiled summary of the data analysis that can be presented in a
tubular, graphical or numerical form
Inferential Statistics - Answers the use of a sample to make decisions about a population
Population - Answers the entire number of items from a large group
Sample - Answers a small representative group from the population
Control - Answers a part of the test population in which no treatment is applied
Placebo - Answers a harmless treatment that looks like the real treatment but has no effect
Double Blind - Answers a kind of experiment where neither the experimenter or the subject knows
whether subjects are receiving a treatment or a placebo
Random Sample - Answers an experiment where every number of the population has an equal chance of
being selected
Qualitative - Answers observations that cannot be measures in a natural numerical scale
Quantitative - Answers observations that are recorded in a naturally occurring numerical scale
Observational Study - Answers researcher collects information without influencing the variables in the
study but by simply observing the variable in action
Experimental Study - Answers researcher collects data while trying to manipulate some variables while
keeping other constant
A parameter - Answers a numerical description of a population characteristic
A statistic - Answers a numerical description of a sample characteristic.
Nominal level - Answers data that we can only put in categories