What does it mean for the finding of a statistical analysis of data to be statistically significant?A. The results are very important to the health and well-being of a certain population.
B. The outcome could easily occur by chance.
C. The likelihood of getting these results by chance is very small.
D. The results do not make enough difference to be of use.

Answer:

C. The likelihood of getting these results by chance is very small.

Step-by-step explanation:

When the finding of a statistical analysis of data is said to be statistically significant, it simply means that the likelihood of getting these results by chance is very small.

This ultimately implies that, an experiment or research is statistically significant when its results or outcomes isn't likely to occur by chance or randomly rather it is associated with a specific cause.

Generally, when the p-value is very small (less than or equal to 0.05) then the result of a research or experiment is considered to be statistically significant and reliable.

Final answer:

Statistical significance in statistical analysis refers to the low likelihood of the identified result or relationship occurring by chance. It implies a high degree of certainty in the findings.

Explanation:

For the finding of a statistical analysis of data to be statistically significant, it essentially means that the likelihood of obtaining these results purely by chance is very low, making option C the correct one. In other words, when we say a result is statistically significant, we're confident that it’s not caused just by random chance but that there’s an underlying relationship at play. For instance, if a drug trial shows a significant difference in outcomes between a control group and a treatment group, it means there's a high likelihood that the drug is effective, not that the results occurred just by chance.

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