test of significance and the p_value
"The smaller the p-value, the stronger the evidence that you should reject the null hypothesis", but we find that p_value> 0.005 and you said (0:56) that we will reject the null hypotysis . i don't understand
Hi Mohamed,
That appears to be a mistake in the video. If the p-value is GREATER than our level of significance (if we are using a 95% confidence level this value would be 0.05), we FAIL TO REJECT the null hypothesis. In the case of interpreting coefficients of regression models, a p-value being greater than our pre-determined level of significance would mean that we do not have enough information to reject the possibility that the coefficient is zero. In other terms, if the p-value of a coefficient is greater than our level of significance, that coefficient is INSIGNIFICANT. Hope this helps!
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