Difference between revisions of "Documentation/How Tos/Calc: TDIST function"
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| − | __NOTOC__ | + | {{DISPLAYTITLE:TDIST function}} |
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== TDIST == | == TDIST == | ||
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: <tt>'''r'''</tt>, an integer >=1, is the degrees of freedom parameter for the t-distribution. | : <tt>'''r'''</tt>, an integer >=1, is the degrees of freedom parameter for the t-distribution. | ||
| − | : <tt>'''mode'''</tt> may be <tt>'''1'''</tt> or <tt>'''2'''</tt>, to calculate the one or two tailed probability. | + | : <tt>'''mode'''</tt> may be <tt>'''1'''</tt> or <tt>'''2'''</tt>, to calculate the one or two-tailed probability. |
: <tt>'''TDIST'''</tt> returns the probability density function for the t-distribution, calculating: | : <tt>'''TDIST'''</tt> returns the probability density function for the t-distribution, calculating: | ||
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: returns approximately 0.666. | : returns approximately 0.666. | ||
| − | {{ | + | {{SeeAlso|EN| |
* [[Documentation/How_Tos/Calc: TINV function|TINV]] | * [[Documentation/How_Tos/Calc: TINV function|TINV]] | ||
* [[Documentation/How_Tos/Calc: TTEST function|TTEST]] | * [[Documentation/How_Tos/Calc: TTEST function|TTEST]] | ||
Latest revision as of 14:30, 2 February 2024
Spreadsheet Lookup functions
Measures of dispersion / spread
Probability and statistics
Correlation and line fitting
See also (in the Arrays Functions category); GROWTH, LINEST, LOGEST, TREND
Ranking
TDIST
Calculates values for a Student's t-distribution.
Syntax:
TDIST(x; r; mode)
- x is the value at which the distribution is calculated.
- r, an integer >=1, is the degrees of freedom parameter for the t-distribution.
- mode may be 1 or 2, to calculate the one or two-tailed probability.
- TDIST returns the probability density function for the t-distribution, calculating:
Example:
TDIST(0.5; 2; 2)
- returns approximately 0.666.
See Also
