
Tests
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Description: This command compares the population means of two populations when population standard deviation is unknown. A
t = |
| o1 — o2 | o1 | : sample mean of sample 1 data | |||
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| o2 | : sample mean of sample 2 data | |
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| 2 | x1σn−1: sample standard deviation of sample 1 | ||||
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| n1 | n2 | x2σn−1: sample standard deviation of sample 2 | |||
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| n1 | : size of sample 1 |
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| n2 | : size of sample 2 |
This formula is applicable when the population standard deviations of the two populations are not equal. The denominator is different when the population standard deviations are equal.
The t distribution degrees of freedom df and xpσn−1 differ according to whether the population standard deviations of the two populations are equal.
When the two population standard deviations are equal (pooled)
df = n1 + n2 – 2
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| n1 + n2 – 2 |
When the two population standard deviations are not equal (not pooled)
df = |
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C = |
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Definition of Terms |
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μ1 condition : sample mean value test conditions (“≠” specifies | ||||||||
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List(1) : |
| list where sample 1 data is located | ||||||
List(2) : |
| list where sample 2 data is located | ||||||
Freq(1) : |
| frequency of sample 1 (1 or list name) | ||||||
Freq(2) : |
| frequency of sample 2 (1 or list name) | ||||||
Pooled : |
| On or Off |
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o1 : |
| sample mean of sample 1 data | ||||||
x1σn−1 : |
| sample standard deviation of sample 1 (x1σn−1 > 0) | ||||||
n1 : |
| size of sample 1 (positive integer) | ||||||
o2 : |
| sample mean of sample 2 data | ||||||
x2σn−1 : |
| sample standard deviation of sample 2 (x2σn−1 > 0) | ||||||
n2 : |
| size of sample 2 (positive integer) |
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