T.INV
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- CALCULATE
- CALCULATETABLE
- CALENDAR
- CALENDARAUTO
- CEILING
- CHISQ.DIST
- CHISQ.DIST.RT
- CHISQ.INV
- CHISQ.INV.RT
- CLOSINGBALANCEMONTH
- CLOSINGBALANCEQUARTER
- CLOSINGBALANCEYEAR
- COALESCE
- COLUMNSTATISTICS
- COMBIN
- COMBINA
- COMBINEVALUES
- CONCATENATE
- CONCATENATEX
- CONFIDENCE.NORM
- CONFIDENCE.T
- CONTAINS
- CONTAINSROW
- CONTAINSSTRING
- CONTAINSSTRINGEXACT
- CONVERT
- COS
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- COUNT
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- COUPDAYBS
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- COUPNCD
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- CROSSFILTER
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- CURRENTGROUP
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- SAMEPERIODLASTYEAR
- SAMPLE
- SEARCH
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- SELECTCOLUMNS
- SELECTEDMEASURE
- SELECTEDMEASUREFORMATSTRING
- SELECTEDMEASURENAME
- SELECTEDVALUE
- SIGN
- SIN
- SINH
- SLN
- SQRT
- SQRTPI
- STARTOFMONTH
- STARTOFQUARTER
- STARTOFYEAR
- STDEVX.P
- STDEVX.S
- STDEV.P
- STDEV.S
- SUBSTITUTE
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- SUM
- SUMMARIZE
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Understanding the Student’s T-Distribution
The Student’s T-distribution is a probability distribution that is used to estimate the mean of a normally distributed population when the sample size is small (less than 30). It is also used to determine confidence intervals and hypothesis testing. The T-distribution has a bell-shaped curve, similar to the normal distribution, but with a flatter peak and fatter tails.
Syntax of the T.INV Function
The T.INV function in DAX is used to calculate the inverse of the Student’s T-distribution. The syntax of the T.INV function is as follows:
T.INV(probability,degrees_freedom)
- **Probability**: This is a required argument that specifies the probability of the T-distribution. It must be between 0 and 1.
- **Degrees_freedom**: This is also a required argument that specifies the number of degrees of freedom for the T-distribution. It must be greater than 0.
Examples of Using the T.INV Function
Let's look at some examples of using the T.INV function in Power BI.
Example 1: Calculating the Inverse of the T-Distribution
Suppose we want to calculate the inverse of the T-distribution for a probability of 0.05 and 10 degrees of freedom. We can use the T.INV function as follows:
=T.INV(0.05,10)
The result will be -1.812461122.
Example 2: Using the Inverse of the T-Distribution in a Formula
Suppose we have a data set with the following values:
Value1: 10
Value2: 15
Value3: 20
Value4: 25
Value5: 30
We want to calculate a confidence interval for this data set with a confidence level of 95%. We can use the T.INV function to calculate the inverse of the T-distribution, and then use this value in a formula to calculate the confidence interval. The formula is as follows:
=STDEV.S(data)/SQRT(COUNT(data))*T.INV(0.05, COUNT(data)-1)
- **STDEV.S(data)**: This calculates the standard deviation of the data set.
- **SQRT(COUNT(data))**: This calculates the square root of the number of data points.
- **T.INV(0.05, COUNT(data)-1)**: This calculates the inverse of the T-distribution for a probability of 0.05 and degrees of freedom equal to the number of data points minus 1.
Using the data set above, we can calculate the confidence interval as follows:
=STDEV.S(A1:A5)/SQRT(COUNT(A1:A5))*T.INV(0.05, COUNT(A1:A5)-1)
The result will be 9.868018322.
The T.INV function in Power BI is a powerful tool for calculating the inverse of the Student's T-distribution. It can be used to calculate confidence intervals, hypothesis testing, and other statistical calculations. By understanding the syntax and examples of the T.INV function, you can make more informed decisions in your data analytics projects.
