If the null hypothesis is rejected in a statistical test, then this implies:   a) the null hypothesis must necessarily be false b) the null hypothesis may be false c) the alternative hypothesis conceived by the researcher (e.g., drug cures cancer) is definitively and necessarily true d) nothing at all, because null hypotheses are about population parameters, not statistical tests e) you probably made a type I error f) if rejected at alpha = 0.70, it’s unlikely that you made a type I error g) the statistical test obviously had sufficient power to reject the null hypothesis h) statistical power may or may not have been sufficient to reject the null hypothesis i) b and c j) b and g k) a, b and g

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.