Chi Square Distribution
Shape of Distribution
Basic Properties
- One parameter is required (Positive integer)
- Continuous distribution defined on semi-bounded range
- This distribution is asymmetric.
Probability
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, where is gamma function.
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Cumulative distribution function
, where is incomplete gamma function.
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How to compute these on Excel.
A | B | |
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1 | Data | Description |
2 | 5 | Value for which you want the distribution |
3 | 9 | Value of parameter N |
4 | Formula | Description (Result) |
5 | =NTCHISQDIST(A2,A3,TRUE) | Cumulative distribution function for the terms above |
6 | =NTCHISQDIST(A2,A3,FALSE) | Probability density function for the terms above |
- Function reference : NTCHISQDIST
Characteristics
Mean -- Where is the "center" of the distribution? (Definition)
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Mean of the distribution is given as
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How to compute this on Excel
A | B | |
---|---|---|
1 | Data | Description |
2 | 9 | Value of parameter N |
3 | Formula | Description (Result) |
4 | =NTCHISQMEAN(A2) | Mean of the distribution for the terms above |
- Function reference : NTCHISQMEAN
Standard Deviation -- How wide does the distribution spread? (Definition)
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Variance of the distribution is given as
Standard Deviation is a positive square root of Variance.
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How to compute this on Excel
A | B | |
---|---|---|
1 | Data | Description |
2 | 9 | Value of parameter N |
3 | Formula | Description (Result) |
4 | =NTCHISQSTDEV(A2) | Standard deviation of the distribution for the terms above |
- Function reference : NTCHISQSTDEV
Skewness -- Which side is the distribution distorted into? (Definition)
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Skewness of the distribution is given as
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How to compute this on Excel
A | B | |
---|---|---|
1 | Data | Description |
2 | 9 | Value of parameter Alpha |
3 | Formula | Description (Result) |
4 | =NTCHISQSKEW(A2) | Skewness of the distribution for the terms above |
- Function reference : NTCHISQSKEW
Kurtosis -- Sharp or Dull, consequently Fat Tail or Thin Tail (Definition)
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Kurtosis of the distribution is given as
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This distribution can be leptokurtic or platykurtic.
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How to compute this on Excel
A | B | |
---|---|---|
1 | Data | Description |
2 | 9 | Value of parameter N |
3 | Formula | Description (Result) |
4 | =NTCHISQKURT(A2) | Kurtosis of the distribution for the terms above |
- Function reference : NTCHISQKURT
Random Numbers
- How to generate random numbers on Excel.
A | B | |
---|---|---|
1 | Data | Description |
2 | 9 | Value of parameter N |
3 | Formula | Description (Result) |
4 | =NTRANDCHISQ(100,A2,0) | 100 chi square deviates based on Mersenne-Twister algorithm for which the parameters above |
Note The formula in the example must be entered as an array formula. After copying the example to a blank worksheet, select the range A5:A104 starting with the formula cell. Press F2, and then press CTRL+SHIFT+ENTER.
- Function reference : NTRANDCHISQ
NtRand Functions
- If you already have parameters of the distribution
- Generating random numbers based on Mersenne Twister algorithm: NTRANDCHISQ
- Computing probability : NTCHISQDIST
- Computing mean : NTCHISQMEAN
- Computing standard deviation : NTCHISQSTDEV
- Computing skewness : NTCHISQSKEW
- Computing kurtosis : NTCHISQKURT
- Computing moments above at once : NTCHISQMOM