# NORMINV

### Definition of NORMINV

Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation.

### Sample Usage

`NORMINV(.75,1,4)`

`NORMINV(A2,A3,A4)`

### Syntax

`NORMINV(x, mean, standard_deviation)`

• `x` - The input to the normal distribution function.

• `mean` - The mean (mu) of the normal distribution function.

• `standard_deviation` - The standard deviation (sigma) of the normal distribution function.

`WEIBULL`: Returns the value of the Weibull distribution function (or Weibull cumulative distribution function) for a specified shape and scale.

`POISSON`: Returns the value of the Poisson distribution function (or Poisson cumulative distribution function) for a specified value and mean.

`NORMSINV`: Returns the value of the inverse standard normal distribution function for a specified value.

`NORMSDIST`: Returns the value of the standard normal cumulative distribution function for a specified value.

`NORMDIST`: Returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation.

`NEGBINOMDIST`: Calculates the probability of drawing a certain number of failures before a certain number of successes given a probability of success in independent trials.

`LOGNORMDIST`: Returns the value of the log-normal cumulative distribution with given mean and standard deviation at a specified value.

`LOGINV`: Returns the value of the inverse log-normal cumulative distribution with given mean and standard deviation at a specified value.

`EXPONDIST`: Returns the value of the exponential distribution function with a specified lambda at a specified value.

`BINOMDIST`: Calculates the probability of drawing a certain number of successes (or a maximum number of successes) in a certain number of tries given a population of a certain size containing a certain number of successes, with replacement of draws.

### Excellentable will generate the outcome when hitting enter.

A
B
C
D
1
State
Probability
Mean
Standard Deviation
2
Alabama
10
4
0.13
3
1
3
0.1
4
Arizona
10
5
0.25
5
Arkansas
9
10
0.5
6
California
7
2
0.65
7
8
9
0.35
8
Connecticut
6
1
0.25
9
Delaware
4
7
0.01
10
Florida
5
8
0.7
11
Georgia
0.908789
40
1.5
12
Hawaii
3
10
0.25
13
Idaho
9
5
0.5
14
15
42.00000201
E
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

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