The null hypothesis is rejected whenever:

A) past studies prove it wrong.
B) there is a low probability that the obtained results could be due to random error.
C) the independent variable fails to have an effect on the dependent variable.
D) the researcher is convinced that the variable is ineffective in causing changes in behavior.

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Kalyca Roubanis · Accepted Answer

Final Answer : B, Explanation :  The null hypothesis is rejected when there is a low probability that the obtained results could be due to random error. This is usually determined by looking at the p-value, which is a measure of the strength of evidence against the null hypothesis. If the p-value is less than the chosen level of significance (usually 0.05), then the null hypothesis is rejected in favor of the alternative hypothesis. Past studies, researcher conviction, or lack of effect of the independent variable are not sufficient reasons to reject the null hypothesis.

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