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Which statement is true considering a significance level of 5%?

A. The result is not statistically significant, which implies that wearing a watch does not help people manage their time better.
B. The result is not statistically significant, which implies that this result could be due to random chance.
C. The result is statistically significant, which implies that wearing a watch does not help people manage their time better.
D. The result is statistically significant, which implies that wearing a watch helps people manage their time better.

Sagot :

Final answer:

Statistical significance at a 5% level implies results are likely not due to chance, indicating a real relationship between variables.


Explanation:

Statistical significance indicates that a result is not likely due to chance, providing confidence in the relationship between variables. When a result is statistically significant at a 5% significance level (p < 0.05), it suggests that the observed data is probably not random.

For example, if a study shows that wearing a watch significantly helps manage time better (assuming p < 0.05), there is evidence that this is a real effect, not just random chance influencing the outcome.

However, remember that statistical significance does not always mean practical significance or real-world importance.


Learn more about Statistical Significance here:

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