Steps |
Key Sequence |
Screens |
1. Set up Stats Tests |
STAT |
![](GIFs/ci1.jpg) |
|
twice |
![](GIFs/ci2.jpg) |
|
4 (for 2–SampTTest...) |
![](GIFs/2stTestd1.jpg) |
2. Select Stat |
use right arrow key (if necessary) to move cursor to Stat, then ENTER |
![](GIFs/2stTest1.jpg) |
3. Input mean of SAMPLE |
once, enter mean of SAMPLE1, then ENTER |
![](GIFs/2stTest2.jpg) |
4. Input standard deviation |
enter standard devation of SAMPLE1, then ENTER |
![](GIFs/2stTest3.jpg) |
5. Input sample size |
enter sample size of SAMPLE1, then ENTER |
![](GIFs/2stTest4.jpg) |
6. Input mean of SAMPLE |
enter mean of SAMPLE2, then ENTER |
![](GIFs/2stTest5.jpg) |
7. Input standard deviation |
enter standard devation of SAMPLE2, then ENTER |
![](GIFs/2stTest6.jpg) |
8. Input sample size |
enter sample size of SAMPLE2, then ENTER |
![](GIFs/2stTest7.jpg) |
9. Select test |
Using arrow keys, select desired test, then ENTER |
![](GIFs/2stTest8.jpg) |
10. Enter no for Pooled |
use left arrow key (if necessary) to move cursor to No, then ENTER |
![](GIFs/2stTest9.jpg) |
11. Calculate P–value |
once, ENTER |
![](GIFs/2stTest10.jpg) |
12. Scroll down to find more calculations |
Press ![](GIFs/dArrow.jpg) |
![](GIFs/2stTest11.jpg) |
In this case, the test was Ha: μ1 > μ2;
the t statistic is 37.058; the p–value is 0; the df is 38785.95481, etc. |