Question

In: Statistics and Probability

interpreting conclusions of hypothesis tests:

interpreting conclusions of hypothesis tests:

Solutions

Expert Solution

In Our testing of analysis we have some claim and we check that claim is true or false

To test : here our H0 claim is always nulity means zero value or not significant value vs

H1 : is always some thing value ie not zero value and it is significant

Test statistics : we calculate test statistics value if given variable are normal distribution or not

if variable follows normal distribution then we use parametric test ow we used non parametric test

Decision : we reject null hypothesis at 100 *(1- alpha) level of significance

we calculate Critical region using alpha value and degree of freedom

then if test statistics value is strictly greater than critical value then we reject H0 ie we accept H1

or some time we calculate p value and if p value is < alpha value we reject H0

Conclusion : if we reject H0 means given variable is significant or claim is satisfied

actually Conclusion is depends upon observations and what is claim.


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