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Prob and stats
| Term | Definition |
|---|---|
| Slope | m |
| Qualitative Data | attributes, labels, or non non-numeric entries |
| y | dependent variable |
| Statistic | numerical description of a sample |
| Regression Line | the line of best fit |
| Experiment | a treatment is applied and responses are observed |
| x | independent variable |
| Survey | an investigation carried out by asking questions |
| Population | the collection of all outcomes |
| Y-intercept | b |
| Frequency | number of data entries in the class |
| The y-value of a data point corresponding to x! | y! |
| Statistics | the science of collecting, organizing,analyzing,and interpreting data |
| Scatterplot | ordered pairs are graphed as points on a graph |
| The mean of the y values | - y |
| Parameter | numerical description of a population |
| Sample | subset of population |
| Pareto Chart | histogram with decreasing bars |
| The point a regression line passes through | (x,y) |
| Interquartile range | difference between the first and third quartile |
| Range | the distance between the max and min |
| The y-value for a point on the regression line corresponding to x! | ^ y |
| Mean | sum of data entries divided by number of entries |
| Mode | piece of data that occurs the most |
| Quantitative | numerical measurements or counts |
| Residual | the difference between the observed y-value and the predicted y-value |
| Simple Event | single outcomes |
| Sample Space | set of all possible outcomes |
| Subjective Probability | what you think will happen |
| Variance | σ2 |
| Classical Probability | when each outcomes is equally likely to occur |
| Combination | selection of objects without order |
| Permutation | "ordered" arrangements of objects |
| Empirical Probability | probability determined by experiment |
| Outcome | the result of a single trial |
| Mutually Exclusive | two events that cannot occur at the same time |
| Standard Deviation | σ |
| Complement of an Event | all outcomes that are not desired |
| Event | one or more outcomes |
| Dependent Events | two events that rely on eachother |
| Outliers | are extreme values not in the norm |