MORE INFORMATION
Because NORMDIST and NORMSDIST are closely related,
Microsoft recommends that you first become familiar with NORMSDIST. NORMSDIST
is referred to in this article for comparison purposes.
For additional information about NORMSDIST, click the
following article number to view the article in the Microsoft Knowledge Base:
827369
Excel Statistical Functions: NORMSDIST
NORMDIST (x, mu, sigma, cumulative) is most
generally used with its last argument set to TRUE. (Excel interprets 1 as TRUE
and 0 as FALSE.)
Syntax
NORMDIST(x, mu, sigma, cumulative)
The NORMDIST
parameters, x, mu and sigma, are numeric values, where the parameter,
cumulative, is a logical TRUE or FALSE value. Sigma must be greater than 0, but
there is no similar requirement for x or mu.
In NORMDIST, when the
last argument is set to TRUE, NORMDIST returns the cumulative probability that
the observed value of a Normal random variable with mean mu and standard
deviation sigma will be less than or equal to x. If cumulative is set to FALSE
(or 0, interpreted as FALSE), NORMDIST returns the height of the bell-shaped
probability density curve.
Example Usage
The following sample exercise illustrates the relationship between
NORMDIST and NORMSDIST when NORMDIST is called and the last argument
(cumulative) is set to TRUE.
Note There is no comparable relationship in Microsoft Excel when the
cumulative for NORMDIST is set to FALSE because NORMSDIST does not have an
equivalent option.
To illustrate the differences between NORMDIST and
NORMSDIST, follow these steps:
- Create a blank Microsoft Excel worksheet, and then copy the
following table:
x | mu | sigma | (x -
mu)/sigma | NORMDIST(x,mu,sigma,TRUE) | NORMSDIST((x -
mu)/sigma) |
| | | | | |
100 | 100 | 15 | =(A3-B3)/C3 | =NORMDIST(A3,B3,C3,TRUE) | =NORMSDIST(D3) |
90 | 100 | 15 | =(A4-B4)/C4 | =NORMDIST(A4,B4,C4,TRUE) | =NORMSDIST(D4) |
70 | 100 | 15 | =(A5-B5)/C5 | =NORMDIST(A5,B5,C5,TRUE) | =NORMSDIST(D5) |
130 | 100 | 15 | =(A6-B6)/C6 | =NORMDIST(A6,B6,C6,TRUE) | =NORMSDIST(D6) |
- In your blank Microsoft Excel worksheet, select cell
A1.
- Click Paste on the Edit
menu so that the entries in the table fill cells A1:F6 in your
worksheet.
The Normal distribution is a continuous probability
distribution whose shape is determined by its mean, mu, and standard deviation,
sigma.
The probability is distributed according to the familiar
bell-shaped curve with the total area under the curve equal to 1. The
probability that a value that is less than or equal to x will occur (also
called cumulative probability up to x) is the area under this curve to the left
of x. (The Standard Normal distribution is the special case where mu = 0 and
sigma = 1.) Because NORMDIST is used only in cells E3:E6 of the Excel worksheet
and in each case is used with cumulative set to TRUE, the cumulative
probability up to x is returned. All examples use mu = 100 and sigma = 15.
(Intelligence Quotients or IQ scores are frequently assumed to follow a Normal
distribution with a mean 100 and standard deviation 15; mu = 100 and sigma = 15
are the appropriate settings for this distribution.)
The Normal
distribution with mean mu and standard deviation sigma is centered at mu and
has half of its probability to the left of mu and half to the right. Row 3
illustrates this point. Because x = mu in this example, the probability to the
left of mu is 0.5 as shown in cell E3. In Row 4, x = 90, a value below mu. The
probability to the left of 90 is less than 0.5 as shown in cell
E4.
The values of x in cells A5 and A6 are 70 and 130, two standard
deviations below the mean and two standard deviations greater than the mean,
respectively (because 70 = 100 - 2*15 and 130 = 100 + 2*15). The respective
values of NORMDIST in cells E5 and E6 sum to 1. These values help show the
symmetry of the bell-shaped Normal distribution curve.
Because
NORMDIST(70,100,15,TRUE) + NORMDIST(130,100,15,TRUE) =
1
It follows that
NORMDIST(70,100,15,TRUE) = 1 -
NORMDIST(130,100,15,TRUE)
The expression on the left of
this last equation is the probability of an observation below 70 (or lower than
two standard deviations below the mean); the expression on the right is the
probability of an observation greater than 130 (or higher than two standard
deviations greater than the mean).
The entries in columns E and F are
the same. These entries illustrate the relationship between the Normal
distribution with a specific mu and sigma (in this example, 100 and 15,
respectively) and the Standard Normal distribution. When you convert a
probability question that involves any Normal distribution into an equivalent
question that involves the Standard Normal distribution, you must
standardize. Standard Normal distribution tables always refer only to the
Standard Normal distribution, and standardizing must take place before you use
these tables. The computational procedure in Excel effectively standardizes
also. Each call to NORMDIST in column E is converted internally in Excel to the
corresponding call to NORMSDIST in column F. The value found by NORMSDIST is
then returned to the user. The accuracy of NORMDIST depends on the accuracy of
NORMSDIST.
Results in Earlier Versions of Excel
The accuracy of NORMSDIST and NORMDIST has been improved in Excel
2003. In earlier versions of Excel, a single computational procedure is used
for all calls to NORMSDIST (either directly or internally in Excel when the
user calls NORMDIST.) The results are essentially accurate to seven decimal
places; results that are more than sufficient for most practical examples.
Results in Excel 2003
The computational procedure for NORMSDIST in Excel 2003 uses two
different computational procedures that depend on the standardized value z, as
used by NORMSDIST. If you call NORMDIST(x, mu, sigma, TRUE), the standardized
value used by NORMSDIST is (x - mu)/sigma. The first computational procedure is
for z between -5 and +5; the second is for z values in the extreme left or
right tails, below -5 or greater than +5. The accuracy is improved for all
values because, over the range of z values where each was used, the two
computational procedures result in a greater accuracy than the single method
used in earlier versions of Excel. The typical accuracy is now at 14 to 15
decimal places.
Conclusions
Rarely, you may require results to an accuracy that are greater
than seven decimal places. As is demonstrated, both NORMDIST and NORMSDIST in
Excel 2003 can provide these results. But, for all other computations that
involve NORMDIST and NORMSDIST, you generally do not see a difference between
Excel 2003 and earlier versions.
Functions that use NORMSDIST are also
improved in Excel 2003, such as the NORMSINV function. The NORMSINV(p) function
returns value z such that NORMSDIST(z) = p. The accuracy of the NORMSINV
function depends on the accuracy of NORMSDIST, and the ability of the search
procedure to determine the appropriate value of z that corresponds to the
user-supplied p.
Note In Microsoft Excel 2002, the search procedure was improved, but
changes were not made in NORMSDIST. For Excel 2003, NORMSDIST has also been
improved so that the performance of the NORMSINV function is better than the
performance of the function in Excel 2002 and earlier.
The NORMINV
function also relies on the accuracy of NORMSINV, and it has been improved as a
result of improvements in NORMSDIST and NORMSINV.
For more information
about NORMDIST, click
Microsoft Office Excel Help on the
Help menu, type
normdist in the
Search for box in the Assistance pane, and then click
Start searching to view the topic.