Interpreting Chi Squared Test Results for Lab Report

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SUMMARY

The discussion focuses on interpreting the results of a Chi Squared test for a lab report. The participant calculated a Chi Squared statistic of c² = 0.26, which is significantly below the critical value of 3.84. This indicates that the null hypothesis should not be rejected, as the test statistic is smaller than the cutoff. The participant initially expressed confusion about the interpretation but received clarification on the correct approach to hypothesis testing.

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for a lab report i have to perform a chi squared test... i have no idea how to interprete my results from that chi squared test

I got c^2= .26 and its way under the 3.84 cap... does that mean i accept the hypothesis or reject it... I get confused about this... i got 32 and 28 for my two catagories and it should have been 50/50 so I am slightly off.


Please help...
 
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You should reject the null hypothesis if your test statistic, \chi^2, is larger than the cutoff. If it is smaller than the cutoff do not reject the null hypothesis (don't say accept the null).

I'm not sure what you mean by your final sentence and "being slightly off".
 
Thanks for the input. He says he's figured it out now (OP is my brother).
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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