
Standard Normal Distribution
P (t) | Q (t) | R (t) |
0 t | 0 t | 0 t |
Appendix
<#053> Select
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10} | (FREQ: ON) |
<#054> Edit the data to the following, using insert and delete: | |
{0, 1, 2, 3, 4, 5, 6, 7, 9, 10} | (FREQ: ON) |
<#055> Edit the FREQ data to the following: |
|
{1, 2, 1, 2, 2, 2, 3, 4, 2, 1} | (FREQ: ON) |
•Examples <#056> through <#059> all use the same data as Example <#055>.
<#056> Calculate sum of squares of the sample data and sum of the sample data.
<#057> Calculate number of samples, mean, and population standard deviation.
<#058> Calculate minimum value and maximum value.
<#059> Performing standard normal distribution approximation on the input sample data (from Example <#055>) produces the probabilities shown below.
Distribution probability that is a value less than the normalized variate when the sample value is 3 (P value for normalized variate when X = 3)
Distribution probability that is a value greater than the normalized variate when the sample value is 7 (R value for normalized variate when X = 7)
Commands when Linear Regression Calculation (A+BX) Is Selected
With linear regression, regression is performed in accordance with the following model equation.
y = A + BX
The following are the commands that appear on the
See Appendix <#060> for information about the calculation
formula used for each command.