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If there's not a statistically significant change in an experiment, there is no effect. True or...

If there's not a statistically significant change in an experiment, there is no effect. True or false and Why?

Math   Statistics-And-Probability   
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Answer #1

If there's not a statistically significant change in an experiment, there is no effect TRUE

REASON: When we do an experiment we set up two hypothesis one is null and another one is alternative hypothesis. In null hypothesis we assume there is no effect of suppose here any drug on the patients.

and Alternative hypothesis is threre an effect of drug on patients.

If the test is not statistically significant means P value is greater than the level of significance (we set before the test) which means Fail to reject null hypothesis and we are failed to reject null hypothesis which is no effect of drug on patients.

So if the result is not statistically significant or if no statistically significant change then there is NO effect.

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