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Formula Reference
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Formula Functions
- Barcode Functions
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Statistical Functions
- AVEDEV
- AVERAGE
- AVERAGEA
- AVERAGEIF
- AVERAGEIFS
- BETA.DIST
- BETA.INV
- BINOM.DIST
- BINOM.DIST.RANGE
- BINOM.INV
- CHISQ.DIST
- CHISQ.DIST.RT
- CHISQ.INV
- CHISQ.INV.RT
- CHISQ.TEST
- CONFIDENCE.NORM
- CONFIDENCE.T
- CORREL
- COUNT
- COUNTA
- COUNTBLANK
- COUNTIF
- COUNTIFS
- COVARIANCE.P
- COVARIANCE.S
- DEVSQ
- EXPON.DIST
- F.DIST
- F.DIST.RT
- F.INV
- F.INV.RT
- F.TEST
- FINV
- FISHER
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- FORECAST
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- GAMMA
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- MODE.MULT
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- NORMINV
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- PERCENTILE.EXC
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- PERMUT
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- PHI
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- RANK.AVG
- RANK.EQ
- RSQ
- SKEW
- SKEW.P
- SLOPE
- SMALL
- STANDARDIZE
- STDEV.P
- STDEV.S
- STDEVA
- STDEVPA
- STEYX
- T.DIST
- T.DIST.2T
- T.DIST.RT
- T.INV
- T.INV.2T
- T.TEST
- TREND
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- WEIBULL.DIST
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Z.TEST
- Sparkline Functions
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- Import and Export Reference
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Z.TEST
This function returns the significance value of a z-test. The z-test generates a standard score for x with respect to the set of data and returns the two-tailed probability for the normal distribution.
Syntax
Z.TEST(array, x, sigma)
Arguments
This function has these arguments:
Argument | Description |
|---|---|
array | Array of data to test |
x | Value at which to test |
sigma | [Optional] Known standard deviation for the population; if omitted, the calculation uses the sample standard deviation |
Remarks
If sigma is not specified, the calculated standard deviation of the data in array is used.
The equation for calculating the z-test is as follows, where n is the number of data points.
Data Types
Accepts numeric data for all arguments. Returns numeric data.
Examples
Z.TEST(A2:D12,40,0.877)
Z.TEST(R2C1:R12C4,2)
Z.TEST({5,10,15,12,11,8,16,7},10) gives the result 0.355512703503418
Z.TEST({5,10,15,12,11,8,16,7},10,3) gives the result 0.31867594409823696