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i need some help ppl.......

give me some examples of both null and alternate hypotheses of the same problem

can you all please post as many problems, null hypothesis and alternante hypothesis

2006-07-22 03:49:23 · 3 answers · asked by Funtooshh 2 in Social Science Psychology

3 answers

A relationship between studing and grades.

Null - There is no relationship between studing and having good grades.
Alternate - There is a relationship between studing and having good grades.

Test the theory, disprove the null and give evidence for the alternate.

2006-07-22 03:54:35 · answer #1 · answered by a_siberian_husky 2 · 1 0

Null hypothesis: There is no causal relationship between gluten consumption and Autism.

Alternate hypothesis: There is a causal relationahip between gluten consumption and Autism.

Gather facts (case histories, statistics) to illustrate your Alternate hypothesis.

Null hypothesis: There is no relationship between childhood trauma and Reactive Attachment Disorder.

Alternate hypothesis: There is a relationship between childhood trama and Reactive Attachment Disorder.

Argue against your Null hypothesis and for your Alternate.

2006-07-22 04:00:53 · answer #2 · answered by oceana 2 · 1 0

Hey, no prob.
The Null (HO) is when Xe = Xc which means that your experimental group is equal to your control group.
The alternatives (H1's) are either not equal, or one of them (Xe or Xc) are not equal or XeXc.
It all depends on your alpha (.01, or .05); once you figure out your z, or t or f value, then you just look up the crit. value. If your crit value is bigger (this is where most student have problems) which means it has to be bigger then .05 (or .01)crit value, then you reject the null. If you are going directional into the negative, then your crit value needs to be more negative then your obtained value.
Lets say you are looking at a t obtained of 2.0689, and your t-crit is 2.021(.05 one-tailed) then you reject HO because it is bigger than you t-obtained, which means it is statistically significant. PS. the same goes for the ANOVA.
Let me know if this helps, if not write me a assignment problem we will work it out.
Kalinka

2006-07-22 15:26:22 · answer #3 · answered by Kalika 1 · 0 0

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