grouped data function
91Restricted randomization — Many processes have more than one source of variation in them. In order to reduce variation in processes, these multiple sources must be understood, and that often leads to the concept of nested or hierarchical data structures. For example, in… …
92Comparison of statistics journals — This is a comparison of peer reviewed scientific journals published in the field of statistics. Contents 1 General information 2 Impact, indexing, abstracting and reviewing 3 Notes 4 …
93Multivariate statistics — is a form of statistics encompassing the simultaneous observation and analysis of more than one statistical variable. The application of multivariate statistics is multivariate analysis. Methods of bivariate statistics, for example simple linear… …
94Frequency distribution — In statistics, a frequency distribution is an arrangement of the values that one or more variables take in a sample. Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and… …
95Bar chart — See also: Histogram Example of a bar chart, with Country as the discrete data set. A bar chart or bar graph is a chart with rectangular bars with lengths proportional to the values that they represent. The bars can be plotted vertically or… …
96Contingency table — In statistics, a contingency table (also referred to as cross tabulation or cross tab) is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables. It is often used to record and analyze the… …
97Coefficient of variation — In probability theory and statistics, the coefficient of variation (CV) is a normalized measure of dispersion of a probability distribution. It is also known as unitized risk or the variation coefficient. The absolute value of the CV is sometimes …
98Confounding — factor redirects here. For other uses, see Confounding factor (disambiguation). In statistics, a confounding variable (also confounding factor, lurking variable, a confound, or confounder) is an extraneous variable in a statistical model that… …
99Median polish — The median polish is an exploratory data analysis procedure proposed by the statistician John Tukey. It finds an additively fit model for data in a two way layout table (usually, results from a factorial experiment) of the form row effect +… …
100Pearson's chi-squared test — (χ2) is the best known of several chi squared tests – statistical procedures whose results are evaluated by reference to the chi squared distribution. Its properties were first investigated by Karl Pearson in 1900.[1] In contexts where it is… …
