Basic Statistics Members
Basic Statistics include the following statistical analyses:
Breakdowns compute various descriptive statistics such as mean, standard deviation, correlations, etc., broken down by one or more categorical variables.
Correlations compute Pearson product-moment correlations and square and rectangular correlation matrices as well as expanded format correlation matrices with pairwise n and significance levels.
Crosstabulations will crosstabulate data and produce various types of crosstabulation tables such as Summary Frequency tables and Detailed Two-Way tables.
Descriptive Statistics compute summary statistics such as mean, median, standard deviation, etc.
Frequency Tables provide various options for determining the categories for the frequency table (e.g., integer intervals, specific codes, etc.). You can also tabulate the data according to logical categorization conditions that can be typed in directly.
Multiple Response Tables are used to compute summary tables for multiple response variables, such as instances where more than one response is possible for a single survey question.
Single t-Tests test whether a single mean (i.e., a mean for a single population) is equal to a given value.
t-Tests for Dependent Samples compare means among variables, measured in the same sample of cases (subjects, individuals; so-called dependent samples).
t-Tests for Independent Samples compare means for two groups (within a variable).