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japem
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If I'm running a simple 1-sample t-test, and I have px-hatbar, s, n, and pmu, where p-hat and s come from the following type of numbers:

0
0
0
0
0
0
0
0
0
.8
.8
.8
.8
1.2
1.2
1.2
1.6
1.6
1.6
2
2
2
2
2

I.e, from only 5 different possible "scores" on a "test", can I proceed as usual with the t-test? Is there a different procedure for data like these?

If I'm running a simple 1-sample t-test, and I have p-hat, s, n, and p, where p-hat and s come from the following type of numbers:

0
0
0
0
0
0
0
0
0
.8
.8
.8
.8
1.2
1.2
1.2
1.6
1.6
1.6
2
2
2
2
2

I.e, from only 5 different possible "scores" on a "test", can I proceed as usual with the t-test? Is there a different procedure for data like these?

If I'm running a simple 1-sample t-test, and I have x-bar, s, n, and mu, where p-hat and s come from the following type of numbers:

0
0
0
0
0
0
0
0
0
.8
.8
.8
.8
1.2
1.2
1.2
1.6
1.6
1.6
2
2
2
2
2

I.e, from only 5 different possible "scores" on a "test", can I proceed as usual with the t-test? Is there a different procedure for data like these?

Source Link
japem
  • 141
  • 4

T-test with only certain values that form the mean and standard deviation

If I'm running a simple 1-sample t-test, and I have p-hat, s, n, and p, where p-hat and s come from the following type of numbers:

0
0
0
0
0
0
0
0
0
.8
.8
.8
.8
1.2
1.2
1.2
1.6
1.6
1.6
2
2
2
2
2

I.e, from only 5 different possible "scores" on a "test", can I proceed as usual with the t-test? Is there a different procedure for data like these?