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t test and CHI-square test 0.05 significance level

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m hell cnfused in this thing.....i m a bio student not a frther maths one......
all i knw is that if probability of null hypothesis being correct is greater than 0.05 ....its accepted.......bt its not seeming to me intuitive.....i have read somehwere....it tells u 95% cnfidence intervals.......bt thsi probability of .05 isnt too low......
 
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Aoa wr wb!

null hypothesis.jpg


Now the probability is actually the probability that the null hypothesis is correct..
and if it's less than 0.05, we say that there's least chance it's correct...and that differences are not due to chance etc.
but if it's greater than 0.05, we say that the null hypothesis IS correct.
 
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Correct me if I'm wrong,

t-test and Chi-squared test,
Do they both work with the same mechanism or the opposite mechanism?

When our chi-squared value is greater than the value given in the table, the probability becomes less than 0.05, so the difference become significant, not due to chance. ....blah blah vice-versa

When our t-test value is greater than the value given in the table, the probability again becomes less than 0.05, so the difference is significant, not due to chance .... blah blah

So, they both do work with the same mechanism .

So, in any situation when our calculated value is greater than the value given in the table, the difference is significant, not due to chance :)
 
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