Element: Specific subject or object about which the information is collected.
Also called a member or observational unit.
Variable: Any information or data collected from elements.
A variable can take different values from different elements.
Broken down into qualitative or quantitative variables.
Quantitative variables can be further broken down into discrete and continuous variables.
Observation: The value of a variable for an element. Basically a measurement.
Data Set: A collection of observations of one or more variables.
Cross-Section Data: Data collected on different elements at the same point in time or for the same period of time.
Time-Series Data: Data colleced on the same element of the same variable at different points in time or for different periods of time.
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.
The book includes five full length practice exams in addition to a full 15 chapters of review that is divided into the four major themes on the statistics test: Exploratory Analysis, Planning a Study, Probability, and Statistical Interference.
The book includes 2 full length practice tests with detailed answers and explanations, a full review of the subject material presented, and step-by-step techniques for cracking each type of statistical analysis question.