Analyzing data (Section 11.8) Flashcards
Statistics
The study of data analysis and interpretation
Sample
A subset of a population; used to gather information about a group
Random sample
All members of the population are equally likely to be chosen in the sample
Biased
A part of a population is over represented or underrepresented in a sample; can yield misleading results.
Convenience Sample
Members are selected from the population based on who is convenient and readily available
Self-Selected Sample
Members of the population are selected based upon who volunteers for the sample
Systematic Sample
The population in ordered in some way, then the members are selected for it in regular intervals. (Ex.: every 5th person)
Random Sample
All members of the population are equally likely to be chosen
Observational Study
You measure or observe members of a sample in such a way that they are not affected by the study
Controlled Experiment
The sample is divided into two groups: the treatment group and the control group. The treatment group is manipulated (i.e. given medicine, etc.) and compared against the control group.
Survey
every member of the sample is asked a set of questions.
Measures of Central Tendency
Values that help describe the “middle” of data sets. Mean, median, and mode are all examples of measures of central tendency
Mean
The average (sum of data values / number of values)
Median
Middle value or mean of two middle values
Mode
The value that occurs most often
Range
The difference between the highest and the lowest numbers
Outlier
A value is substantially different from the rest of the data