Casio FX-9750G PLUS User's Manual & Technical Reference page 305

F
2-Sample Test tests the hypothesis that there will be no change in the result for
a population when a result of a sample is composed of multiple factors and one or
more of the factors is removed. It could be used, for example, to test the carcino-
genic effects of multiple suspected factors such as tobacco use, alcohol, vitamin
deficiency, high coffee intake, inactivity, poor living habits, etc.
ANOVA tests the hypothesis that the population means of the samples are equal
when there are multiple samples. It could be used, for example, to test whether or
not different combinations of materials have an effect on the quality and life of a
final product.
The following pages explain various statistical calculation methods based on the
principles described above. Details concerning statistical principles and
terminology can be found in any standard statistics textbook.
While the statistical data list is on the display, press 3 (TEST) to display the test
menu, which contains the following items.
Z t F
• { }/{ }/{CHI}/{ } ... {
• {ANOV} ... {analysis of variance (ANOVA)}
About data type specification
For some types of tests you can select data type using the following menu.
• {List}/{Var} ... specifies {list data}/{parameter data}
k k k k k Z Test
You can use the following menu to select from different types of
• {1-S}/{2-S}/{1-P}/{2-P} ... {1-Sample}/{2-Sample}/{1-Prop}/{2-Prop}
u u u u u 1-Sample Z Test
This test is used when the sample standard deviation for a population is known to
test the hypothesis. The 1-Sample Z Test is applied to the normal distribution.
µ
o –
0
Z =
σ
n
Perform the following key operations from the statistical data list.
3(TEST)
1(Z)
1(1-S)
χ
Z t F
}/{ }/{ }/{ } test
2
o : sample mean
µ
: assumed population mean
o
σ : population standard deviation
n
: sample size
18 - 6
Tests
Z
Test.
Z
Test
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