p-vaule, null hypothesis...

[themrn]

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Hi guys i'm currently working on math destroyer and on test 12. just got bunch of p-vaules and null hypothesis... omg.. what is this thing...

has anyone faced those kinda of Qs on real DAT? if yes,,, what is a good source to learn those stuff? i took stat about 7 years ago. i don't even remember learning those... and i feel like crap cuz i only have 10 days till my DAT.

thank you in advance!

 

[wowyourecool]

.

 

[SafetyDog]

When p-value is less than 0.05, then you can reject your null hypothesis.

Example:
Null: Studying for the DAT will not yield a higher DAT score.
Alternate: Studying for the DAT will yield a higher DAT score.

After conducting appropriate tests such as a T-test from all your data, you get a p-value. The test will be a one tailed test, because you are testing to see if you get a higher score. If you are testing for either a high or lower score, then you used a two tailed test, but that wouldn't make sense in the context of this particular null hypothesis.

If p<0.05, then you can reject the null stating "Studying for the DAT will yield a higher score."

A p-value of less than 0.05 also means that you are 95% confident that studying for the DAT will yield a higher score.

 

[themrn]

When p-value is less than 0.05, then you can reject your null hypothesis.

Example:
Null: Studying for the DAT will not yield a higher DAT score.
Alternate: Studying for the DAT will yield a higher DAT score.

After conducting appropriate tests such as a T-test from all your data, you get a p-value. The test will be a one tailed test, because you are testing to see if you get a higher score. If you are testing for either a high or lower score, then you used a two tailed test, but that wouldn't make sense in the context of this particular null hypothesis.

If p<0.05, then you can reject the null stating "Studying for the DAT will yield a higher score."

so any p-value below <0.05 can be rejected ?

 

[SafetyDog]

If it's less than 0.05, you reject the null, meaning that your alternative hypothesis is most likely correct.

And also, the lower you get, the more significant your data is, but anything under 0.05 is considered significant already.

Okay, so I just looked at the problem you're talking about.

Basically, if it's higher than 0.05, then you can't make any significant conclusions and it's less than 0.05, then you you can make significant conclusions.

 

[themrn]

If it's less than 0.05, you reject the null, meaning that your alternative hypothesis is most likely correct.

And also, the lower you get, the more significant your data is, but anything under 0.05 is considered significant already.

Okay, so I just looked at the problem you're talking about.

Basically, if it's higher than 0.05, then you can't make any significant conclusions and it's less than 0.05, then you you can make significant conclusions.

thanks.. ahhh i usually like math but this is.....so nasty!!!