Вивчаючи статистику

Discrete numeric variables—The values are counts of things.
Dot scale diagram—A chart in which each response is represented as a point above a number line that includes the range of all values.
Error sum of squares (SSE)—Consists of variation that is due to factors other than the relationship between X and Y.
Event—Each possible type of occurrence.
Expected frequency—Frequency expected in a particular cell if the null hypothesis is true.
Expected value—The mean of a probability distribution.
Experiments—A process that uses controlled conditions to study the effect on the variable of interest of varying the value(s) of another variable or variables.
Explanatory variable—The variable used to predict the dependent or response variable in a regression analysis.
F distribution—A distribution used for testing the ratio of two variances.
First quartile (Q1)—The value such that 25.0% of the observations are smaller and 75.0% are larger.
Five-number summary—Consists of smallest value, Q1, median, Q3, and largest value.
Frame—The list of all items in the population from which samples will be selected.
Frequency distribution—A table of grouped numerical data in which the names of each group are listed in the first column and the percentages of each group of numerical data are listed in the second column.
Histogram—A special bar chart for grouped numerical data in which the frequencies or percentages of each group of numerical data are represented as individual bars.
Hypothesis testing—Methods used to make inferences about the hypothesized values of population parameters using sample statistics.
Independent events—Events in which the occurrence of one event in no way affects the probability of the second event.
Independent variable—The variable used to predict the dependent or response variable in a regression analysis.