Casio fx-97SG X - Statistical Analysis and Estimation; Item Counts, Measures, and Min;Max Values; Regression Coefficients and Value Estimation

Number of Items: Q* / Mean: ݔ
െ
*, ݕ
െ
/ Population Variance: ı
2
[
*, ı
2
\
/
Population Standard Deviation: ı
[
*, ı
\
/ Sample Variance: s
2
[
*, s
2
\
/
Sample Standard Deviation: s
[
*, s
\
(Variable)  to ,  to 
Minimum Value: min([)*, min(\) / Maximum Value: max([)*, max(\)
When the single-variable statistical calculation is selected:
(Min/Max) , 
When a paired-variable statistical calculation is selected:
(Min/Max)  to 
Regression Coefficients: D, E / Correlation Coefficient: U / Estimated
Values: ݔ
, ݕ
(Regression)  to 
Regression Coefficients for Quadratic Regression: D, E, F / Estimated
Values: ݔ
1
, ݔ
2
, ݕ
(Regression)  to 
• ݔ
, ݔ
1
, ݔ
2
and ݕ are commands of the type that take an argument
immediately before them.
Ex 2: To input the single-variable data [ = {1, 2, 2, 3, 3, 3, 4, 4, 5}, using the
Freq column to specify the number of repeats for each items {[
Q
; Freq
Q
} =
{1;1, 2;2, 3;3, 4;2, 5;1}, and calculate the mean.
(SETUP)(Statistics)(On)
(Select Type)(1-Variable)
12345
1232
(Variable)( ݔ
െ
)
͵
Ex 3: To calculate the logarithmic regression correlation coefficients for the
following paired-variable data and determine the regression formula: ([, \) =
(20, 3150), (110, 7310), (200, 8800), (290, 9310). Specify Fix 3 (three
decimal places) for results.
(SETUP)(Statistics)(Off)
(SETUP)(Number Format)(Fix)
(Select Type)(y=a+b㺃ln(x))
20110200290
3150731088009310
(Regression)(r)
ͲǤͻͻͺ
(Regression)(a)
Ǧ͵ͺͷ͹ǤͻͺͶ
(Regression)(b)
ʹ͵ͷ͹Ǥͷ͵ʹ
Calculating Estimated Values
Based on the regression formula obtained by paired-variable statistical
calculation, the estimated value of \ can be calculated for a given [-value.
The corresponding [-value (two values, [
1
and [
2
, in the case of quadratic
regression) also can be calculated for a value of \ in the regression formula.
Ex 4: To determine the estimate value for \ when [ = 160 in the regression
formula produced by logarithmic regression of the data in Ex 3. Specify Fix
3 for the result. (Perform the following operation after completing the
operations in Ex 3.)
160(Regression)(ݕ
)
ͺͳͲ͸Ǥͺͻͺ
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スクリプト.indd17 2017/06/1217:18:29