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Graphing t-Test: Two-Sample Assuming Unequal Variances into Bell Curve
Posted on 11/20/15 at 3:19 pm
Posted on 11/20/15 at 3:19 pm
I've searched online and am unsuccessful on finding anything definitive. I would be forever grateful if someone could show me how to graph into bell curve.
Here is my data
t-Test: Two-Sample Assuming Unequal Variances
Variable 1 Variable 2
Mean 17.4 7.2
Variance 56.8 19.7
Observations 5 5
Hypothesized Mean Difference 0
df 6
t Stat 2.607680962
P(T<=t) one-tail 0.02012269524
t Critical one-tail 1.943180274
P(T<=t) two-tail 0.04024539048
t Critical two-tail 2.446911846
non-gamer in-game deaths
20
18
8
13
28
Hardcore in-game deaths
10
12
4
5
15
Here is my data
t-Test: Two-Sample Assuming Unequal Variances
Variable 1 Variable 2
Mean 17.4 7.2
Variance 56.8 19.7
Observations 5 5
Hypothesized Mean Difference 0
df 6
t Stat 2.607680962
P(T<=t) one-tail 0.02012269524
t Critical one-tail 1.943180274
P(T<=t) two-tail 0.04024539048
t Critical two-tail 2.446911846
non-gamer in-game deaths
20
18
8
13
28
Hardcore in-game deaths
10
12
4
5
15
This post was edited on 11/20/15 at 3:20 pm
Posted on 11/20/15 at 3:20 pm to TigerDik86
Kids these days, man.
Storming the president's office. Making absurd demands. Asking the OT to do their homework for them.
Bunch of wussies IYAM.
Storming the president's office. Making absurd demands. Asking the OT to do their homework for them.
Bunch of wussies IYAM.
Posted on 11/20/15 at 3:26 pm to TigerDik86
Wait you only had 5 samples for each case? Do you even rule of three and law of large numbers bro?
Posted on 11/20/15 at 3:27 pm to TigerDik86
What are you trying to graph?
The distributions?
If so, plot the probability distributions.
This isn't hard.
The distributions?
If so, plot the probability distributions.
This isn't hard.
Posted on 11/20/15 at 3:34 pm to TigerDik86
I think excel can do this for you. You may have to activate the data analysis package.
This post was edited on 11/20/15 at 3:36 pm
Posted on 11/20/15 at 3:35 pm to TigerDik86
I read the title as Graphic-T test and was oddly curious.
Posted on 11/20/15 at 3:36 pm to CptBengal
quote:
What are you trying to graph?
The distributions?
If so, plot the probability distributions.
This isn't hard.
Posted on 11/20/15 at 3:37 pm to UpToPar
quote:
I read the title as Graphic-T test and was oddly curious.
I was sure this was an Affliction thread.
Posted on 11/20/15 at 3:40 pm to TigerDik86
Here ARE my data.
So you want to show these data, tail and curve, in a spreadsheet?
So you want to show these data, tail and curve, in a spreadsheet?
Posted on 11/20/15 at 3:41 pm to TigerDik86
I'd just shade in "C" on the test.
Posted on 11/20/15 at 3:43 pm to TigerDik86
Used to have to figure that by hand baw, with only the help of a regular non-scientific calculator.
Posted on 11/20/15 at 3:49 pm to TigerDik86
First, you should properly describe what in the world you're trying to do. That always helps.
Second, what do you mean 'graph into a bell curve'?
Third, you need to determine if those two samples are independent, then determine if they have equivalent variances, then determine the distribution of each.
Fourth, you need to look at the assumptions of the test or procedure you wish to do and whether the data satisfies them. Non-parametric tests are generally the way to go here, especially with small samples.
Fifth, it sounds like you're wanting one curve so you can plot a point on a the graph it rests on and compare it to another point, then maybe determine if those points are considered statistically different? If so, perhaps you should look at standardization. Repeat steps 3 and 4 in that context, if that's the case.
Second, what do you mean 'graph into a bell curve'?
Third, you need to determine if those two samples are independent, then determine if they have equivalent variances, then determine the distribution of each.
Fourth, you need to look at the assumptions of the test or procedure you wish to do and whether the data satisfies them. Non-parametric tests are generally the way to go here, especially with small samples.
Fifth, it sounds like you're wanting one curve so you can plot a point on a the graph it rests on and compare it to another point, then maybe determine if those points are considered statistically different? If so, perhaps you should look at standardization. Repeat steps 3 and 4 in that context, if that's the case.
Posted on 11/20/15 at 3:51 pm to TigerDik86
Plug that shite in SPSS baw.
Posted on 11/20/15 at 3:53 pm to TigerDik86
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