Raw Score, x
Population Mean, μ
Standard Deviation, σ

Z-score and also Probability Converter

Please carry out any one worth to convert between z-score and also probability. This is the identical of referencing a z-table.

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Z-score, Z
Probability, P(x
Probability, P(x>Z)
Probability, P(0 to Z or Z to 0)
Probability, P(-Z
Probability, P(xZ)

Probability between Two Z-scores

*

Use this princetoneclub.org to find the probability (area p in the diagram) in between two z-scores.

Left Bound, Z1
Right Bound, Z2

RelatedStandard Deviation princetoneclub.org

What is z-score?

The z-score, likewise referred to as traditional score, z-value, and normal score, among other things, is a dimensionless quantity that is offered to show the signed, fractional, variety of standard deviations by which an occasion is above the median value being measured. Values over the mean have positive z-scores, while values below the median have an unfavorable z-scores.

The z-score deserve to be calculated by subtracting the populace mean indigenous the life score, or data suggest in concern (a check score, height, age, etc.), then splitting the distinction by the population standard deviation:

z =x - μ
σ

where x is the raw score, μ is the populace mean, and also σ is the population standard deviation.

The z-score has numerous applications and can be provided to do a z-test, calculation prediction intervals, process control applications, compare of scores on different scales, and more.

Z-table

A z-table, likewise known together a typical normal table or unit normal table, is a table that is composed of standardized worths that are provided to recognize the probability that a provided statistic is below, above, or between the conventional normal distribution.

See more: How Do You Say Jamaica In Spanish Translation Of “Jamaican”, Reverse Translation For Jamaica

The table listed below is a right-tail z-table. Return there space a variety of types that z-tables, the right-tail z-table is generally what is meant as soon as a z-table is referenced. That is provided to uncover the area in between z = 0 and any optimistic value, and also reference the area come the right-hand next of the standard deviation curve.


z00.010.020.030.040.050.060.070.080.09
000.003990.007980.011970.015950.019940.023920.02790.031880.03586
0.10.039830.04380.047760.051720.055670.059620.063560.067490.071420.07535
0.20.079260.083170.087060.090950.094830.098710.102570.106420.110260.11409
0.30.117910.121720.125520.12930.133070.136830.140580.144310.148030.15173
0.40.155420.15910.162760.16640.170030.173640.177240.180820.184390.18793
0.50.191460.194970.198470.201940.20540.208840.212260.215660.219040.2224
0.60.225750.229070.232370.235650.238910.242150.245370.248570.251750.2549
0.70.258040.261150.264240.26730.270350.273370.276370.279350.28230.28524
0.80.288140.291030.293890.296730.299550.302340.305110.307850.310570.31327
0.90.315940.318590.321210.323810.326390.328940.331470.333980.336460.33891
10.341340.343750.346140.348490.350830.353140.355430.357690.359930.36214
1.10.364330.36650.368640.370760.372860.374930.376980.3790.3810.38298
1.20.384930.386860.388770.390650.392510.394350.396170.397960.399730.40147
1.30.40320.40490.406580.408240.409880.411490.413080.414660.416210.41774
1.40.419240.420730.42220.423640.425070.426470.427850.429220.430560.43189
1.50.433190.434480.435740.436990.438220.439430.440620.441790.442950.44408
1.60.44520.44630.447380.448450.44950.450530.451540.452540.453520.45449
1.70.455430.456370.457280.458180.459070.459940.46080.461640.462460.46327
1.80.464070.464850.465620.466380.467120.467840.468560.469260.469950.47062
1.90.471280.471930.472570.47320.473810.474410.4750.475580.476150.4767
20.477250.477780.478310.478820.479320.479820.48030.480770.481240.48169
2.10.482140.482570.4830.483410.483820.484220.484610.4850.485370.48574
2.20.48610.486450.486790.487130.487450.487780.488090.48840.48870.48899
2.30.489280.489560.489830.49010.490360.490610.490860.491110.491340.49158
2.40.49180.492020.492240.492450.492660.492860.493050.493240.493430.49361
2.50.493790.493960.494130.49430.494460.494610.494770.494920.495060.4952
2.60.495340.495470.49560.495730.495850.495980.496090.496210.496320.49643
2.70.496530.496640.496740.496830.496930.497020.497110.49720.497280.49736
2.80.497440.497520.49760.497670.497740.497810.497880.497950.498010.49807
2.90.498130.498190.498250.498310.498360.498410.498460.498510.498560.49861
30.498650.498690.498740.498780.498820.498860.498890.498930.498960.499
3.10.499030.499060.49910.499130.499160.499180.499210.499240.499260.49929
3.20.499310.499340.499360.499380.49940.499420.499440.499460.499480.4995
3.30.499520.499530.499550.499570.499580.49960.499610.499620.499640.49965
3.40.499660.499680.499690.49970.499710.499720.499730.499740.499750.49976
3.50.499770.499780.499780.499790.49980.499810.499810.499820.499830.49983
3.60.499840.499850.499850.499860.499860.499870.499870.499880.499880.49989
3.70.499890.49990.49990.49990.499910.499910.499920.499920.499920.49992
3.80.499930.499930.499930.499940.499940.499940.499940.499950.499950.49995
3.90.499950.499950.499960.499960.499960.499960.499960.499960.499970.49997
40.499970.499970.499970.499970.499970.499970.499980.499980.499980.49998

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