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{} – works with "fuzzy" or ambiguous dates {{Birth date and age}} – used on most biographical entries {{Birth date and age2}} – calculates age at a specified date {{Birth based on age as of date}} – used when a reference mentions the age of a person as of the date of the reference's publication {{Birth year and age}} {}
This template calculates the birth year and current age based on the age as of a date. Template parameters [Edit template data] This template prefers inline formatting of parameters.
If birth date is BC, set to "b". – (optional) gregorian: If Julian date is used, this parameter is required. The date provided is used for emitting the correct microformat translation of the birth date. parm 1 (optional) dt: This value if present is the ISO8601 value emitted to indicate microformat birth date. It overrides any calculated value.
Andy Field (2009) [1] provided an example of a mixed-design ANOVA in which he wants to investigate whether personality or attractiveness is the most important quality for individuals seeking a partner. In his example, there is a speed dating event set up in which there are two sets of what he terms "stooge dates": a set of males and a set of ...
Recursive partitioning creates a decision tree that strives to correctly classify members of the population by splitting it into sub-populations based on several dichotomous independent variables. The process is termed recursive because each sub-population may in turn be split an indefinite number of times until the splitting process terminates ...
Example 2: Number: required: Day of birth: 3 day: The day (number) in which the person was born. Example 24: Number: required: Day first: df: When set to 'y' or 'yes', the date of birth is output in a DMY format. Example y: String: optional: Month first: mf: When set to 'y' or 'yes', stresses that the default MDY date format is intended for the ...
In statistics and econometrics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects, typically with no regard to differences in time.
Examples of tempo-free statistics including the following [3] [4] Pace: Possessions per game (typically ranges from 60 to 75) PPP: Points per possession, the points a team score for each possession regardless of a team's pace; TO%: Turnover percentage, the measure of how often a team loses possession of the ball before creating a scoring ...