| Definition (memorize) | Word (memorize) |
|---|
| The science of collecting, organization, and interpretation of data. | Statistics |
| Collection, presentation and description of sample data. Things that describe the sample. Ex. All heights would be 68-69” tall. | Descriptive Stats |
| Making decisions and draw conclusions about populations. | Inferential Stats |
| The entire collection of objects or subjects. | Population |
| A part/subset of the population | Sample |
| A planned activity where the experimenter has control to impose a treatment. | Experiment |
| After the fact data collection. No imposed treatment. | Survey |
| Represented with a Greek letter. (ex. Alpha sigma beta cal) Population summaries (numerical) | Parameter |
| A variable that categorizes or describes an element of a population. | Qualitative |
| Attribute, categorical, USUALLY non-numerical, arithmetic is useless with this | Quality |
| Numerical in nature, arithmetic is useful (ex. Height, weight, age) | Quantitative |
| Qualitative > Variable that order is implied. Ex. Rank in a race, small medium large, military rankings | Ordinal |
| Qualitative > Variable that order is not implied, hair color | Nominal |
| Quantitative > Numerical value that takes on packets of numbers (count) | Discrete Variable |
| Quantitative > All numbers in-between, like the real number system (measurement) | Continuous Variable |
| The Number of standard deviations above or below the mean on a normal curve. | Z-score |
| The data value such that at most k% o the data falls below. | Percentile |
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