Term | Definition |
Variable | A characteristic or attribute that can assume different values |
Data | The values the variables asume |
Random Variable | Variables whose values are determined by chance |
Data Set | A collection of data values |
Data Value- Datum | Each value of data set |
Probability | The chance of an event occuring |
Population | Consists of all subjects that are being studied |
Sample | A group of subjects selected from a population |
Hypothesis Testing | A decision-making process for evaluating claims about a population based on information from samples |
Independent Variables (Exploratory) | |
Dependent Event (outcome, Resultant) | |
True vs. Quasi Experiments | |
Confounding Variable | |
Hawthorne Effect | |
Control Group | |
Treatment Group | |
Margin of Error | |
Margin of Error Interval | |
Biased Question | |
Unbiased Question | |
Sequential Sampling | |
Double Sampling | |
Multistage Sampling | |
Define Statistics | The science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data |
3 Examples of how statistics are used in everyday life | |
3 reasons to study statistics | |
Example of Descriptive Statistics | |
Examples of Inferential Statistics | |
find boundaries of 1.6 | 1.55- 1.65 |
Nominal Example | |
Ordinal Example | |
Interval Example | |
Ratio Example | |
2 purposes of data collection | |
3 ways to collect data | |
Advantage and disadvantage of Telephone Surveys | |
Advantage and disadvantage of Mailed Questionnaire | |
Advantage and disadvantage of Personal Interviews | |
Example of Random Sampling | |
Example of Systematic Sampling | |
Example of Stratified Sampling | |
Example of Cluster Sampling | |
Example of Observational study | |
Example of Experimental Study | |
2 advantages and 2 disadvantages of Observational studies | |
2 advantages and 2 disadvantages of experimental studies | |
5 uses of statistics | |
7 misuses of statistics | |