Input And Output Terms Of Tests, Confidence Interval, And Distribution - Casio FX-7400GII - SOFTWARE VERSION 2-00 User Manual

• Inverse Hypergeometric Cumulative Distribution
Inverse Hypergeometric Cumulative Distribution calculates
the minimum number of trials of a hypergeometric
cumulative probability distribution for specified values.
Calculation Result Output Examples
When a list is specified
• There is no graphing for Inverse Hypergeometric Cumulative Distribution.
Important!
When executing the Inverse Hypergeometric Cumulative Distribution calculation, the calculator
uses the specified Area value and the value that is one less than the Area value minimum
number of significant digits ( Area value) to calculate minimum number of trials values.
The results are assigned to system variables
(calculation result using
x
when the Inv and
The calculation results of Inverse Hypergeometric Cumulative Distribution are integers.
Accuracy may be reduced when the first argument has 10 or more digits. Note that even
a slight difference in calculation accuracy affects calculation results. If a warning message
appears, check the displayed values.
8. Input and Output Terms of Tests, Confidence
Interval, and Distribution
The following explains the input and output terms that are used by tests, confidence interval,
and distribution.
Input Terms
Data ...................................data type
Z
(1-Sample Test) ...........population mean value test conditions ("
Z
(2-Sample Test) ..........population mean value test conditions ("
1
Area). The calculator always displays the
x
Inv values are different, the message will appear with both values.
"< " specifies lower one-tail test, ">
0
test.)
"< " specifies one-tail test where sample 1 is smaller than sample
2
2, "> " specifies one-tail test where sample 1 is greater than
2
sample 2.)
(DIST)
x
When variable ( ) is specified
x
Inv (calculation result using Area) and
(All models except fx-7400G
6-50
( ) (H.GEO)
x
Inv value only. However,
" specifies two-tail test,
0
" specifies upper one-tail
0
" specifies two-tail test,
2
(InvH)
x
Inv
II
)