Sharp EL9900C EL-9900C - Page 178

Ttest2samp, Example

Page 178 highlights

Chapter 10: Statistics & Regression Calculations 3. Press ' E } to select µ < µ0 and press E. 4. Move the cursor pointer to µ0 and input 65 and press E. 5. Set the List to L1 and press E. 6. Press @ h. Answers are displayed on the screen, where t is the t statistic for the test, p is the p value for the test and sx indicates sample standard deviation. • If there is no weight list, the Freq field can remain empty. 04 Ttest2samp Tests two sample means, µ1 and µ2. Example Test the following two samples; List 1 {2.37, 2.51, 2.43, 2.28, 2.46, 2.55, 2.49} List 2 {2.63, 2.71, 2.56, 2.61, 2.55, 2.68, 2.42, 2.48, 2.51, 2.65} 1. Enter the above data into lists L1 and L2, respectively. 2. Press S E 0 4. The parameter input screen will appear. 3. Enter the appropriate value into each field. If no Freq specification data is input, an initial Freq value of 1 is used. * Pooled is prediction for unknown σ1, σ2. Select "No" if σ1, σ2, are subjectively unequal. Select "Yes" if σ1, σ2, are equal. Calculation is executed using this prediction as the basis. 168

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168
Chapter 10: Statistics & Regression Calculations
3. Press
'
E
}
to
select
µ
<
µ
0
and press
E
.
4.
Move the cursor pointer to
µ
0
and input 65 and press
E
.
5.
Set the List to L1 and press
E
.
6. Press
@
h
.
Answers are displayed on
the screen, where t is the t
statistic for the test, p is the
p value for the test and sx
indicates sample standard
deviation.
If there is no weight list, the Freq field can remain empty.
04 Ttest2samp
Tests two sample means,
µ
1
and
µ
2
.
Example
Test the following two samples;
List 1 {2.37, 2.51, 2.43, 2.28, 2.46, 2.55, 2.49}
List 2 {2.63, 2.71, 2.56, 2.61, 2.55, 2.68, 2.42, 2.48, 2.51, 2.65}
1.
Enter the above data into lists L1 and L2, respectively.
2. Press
S
E
0
4
.
The parameter input screen
will appear.
3.
Enter the appropriate value
into each field.
If no Freq specification data
is input, an initial Freq value
of 1 is used.
* Pooled is prediction for
unknown
σ
1
,
σ
2
.
Select “No” if
σ
1
,
σ
2
, are subjectively unequal.
Select “Yes” if
σ
1
,
σ
2
, are equal.
Calculation is executed using this prediction as the basis.