BUSINESS ADMINISTRATION
BUSINESS ANALYTICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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TRUE
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FALSE
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Detailed explanation-1: -A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.
Detailed explanation-2: -A p-value > 0.05 would be interpreted by many as “not statistically significant, ” meaning that there was not sufficiently strong evidence to reject the null hypothesis and conclude that the groups are different.
Detailed explanation-3: -A p-value > 0.05 would be interpreted by many as “not statistically significant, ” meaning that there was insufficient evidence to reject the null hypothesis and conclude that the groups are different.
Detailed explanation-4: -If the p-value is under . 01, results are considered statistically significant and if it’s below . 005 they are considered highly statistically significant.
Detailed explanation-5: -A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis. This means we retain the null hypothesis and reject the alternative hypothesis. You should note that you cannot accept the null hypothesis, we can only reject the null or fail to reject it.