Standard Normal Distribution

P (t)

Q (t)

R (t)

0 t

0 t

0 t

Appendix Single-variable Statistical Calculation

<#053> Select single-variable (1-VAR) and input the following data:

{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 sub-menus that appear when you select 4(Sum), 5(Var), 6(MinMax), or 7(Reg) on the STAT menu while linear regression is selected as the statistical calculation type.

See Appendix <#060> for information about the calculation

formula used for each command.

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