Chapter 1 Flashcards
(33 cards)
Descriptive Statistics
Organizing and summarizing data
Inferential Statistics
Interpreting data and making a conclusion
Population
All values of a variable from all members
Sample
Some values of a variable from some members (population subgroup)
Parameter
The numerical value of a variable from a population. Typically unknown
Statistic
The numerical value of a variable from a sample. Used to establish parameter.
Variable
A characteristic or measurement of each member.
Individual
A person or object being studied
Probability
The chance of something happening
Discrete quantitative data
Numerical data that takes on countable values
Continuous quantitative data
Numerical data that can take on any value within a specific range. (Including decimals)
Qualitative data
Values that can be described or categorized.
Nominal Scale of Measurements
Categories without any specific order (No rank or order)
Ordinal Scale of Measurements
Categories with a specific order
Interval Scale of Measurements
Categories with a meaning in their difference but not ratio (No zero)
Ratio Scale of Measurements
Categories with meaning in difference and ratio (Zero)
Simple Random Sampling
Some members of a population randomly selected to make a sample
Systematic Sampling
Randomly selected starting number, choose every xth of a number (5th, 15th, 25th)
Stratified Sampling
Population divided into subgroups (strata) and SRS is used
Cluster Sampling
Population divided into subgroups (clusters) use every member in randomly selected clusters.
Convenience Sampling
No randomization of any kind
Observational Study
Data collected without any treatment
Experiment
Data collected with a treatment
Controlled Experiment
Independent variable is manipulated while the dependent variable is measured