Вивчаючи статистику

Binomial distribution—A distribution that finds the probability of a given number of successes for a given probability of success and sample size.
Box-and-whisker plot—A graphical representation of the five-number summary that consists of the smallest value, the first quartile (or 25th percentile), the median, the third quartile (or 75th percentile), and the largest value.
Categorical variable—The values of these variables are selected from an established list of categories.
Cell—Intersection of a row and a column in a two-way cross-classification table
Chi-square (χ2) distribution—Distribution used to test relationships in two-way cross-classification tables.
Coefficient of correlation—Measures the strength of the linear relationship between two variables.
Coefficient of determination—Measures the proportion of variation in Y that is explained by the independent variable X in the regression model.
Collectively exhaustive events—One in a set of events must occur.
Common causes of variation—Represent the inherent variability that exists in the system.
Completely randomized design—An experimental design in which there is only a single factor.
Confidence interval estimate—An estimate of the population parameter given by an interval with a lower and upper limit.
Continuous numerical variables—Values of these variables are measurements.
Control chart—A tool for distinguishing between the common and special causes of variation.
Critical value—Divides the nonrejection region from the rejection region.
Degrees of freedom—The actual number of values that are free to vary after the mean is known.
Dependent variable—The variable to be predicted in a regression analysis.
Descriptive statistics—The branch of statistics that focuses on collecting, summarizing, and presenting a set of data.