What is the main purpose of statistical testing in research?

What is the main purpose of statistical testing in research?

• A. To describe data using graphs
• B. To compute simple counts
• C. To summarize the sample
• D. To determine whether results are significant and not due to chance

Answer: (D)

Statistical testing is about inference: it asks whether the pattern seen in your sample would be unlikely if there were actually no real effect in the population. By testing a null hypothesis and calculating the probability of obtaining the observed result (a p-value), researchers decide whether that result is unlikely enough to be considered significant. If the probability falls below a chosen threshold, we conclude the finding is unlikely due to random variation and infer a real effect in the population. Describing data with graphs, counting occurrences, or summarizing the sample are descriptive tasks that show what the data look like, but they don’t address whether the finding would generalize beyond this sample.

Statistical testing is about inference: it asks whether the pattern seen in your sample would be unlikely if there were actually no real effect in the population. By testing a null hypothesis and calculating the probability of obtaining the observed result (a p-value), researchers decide whether that result is unlikely enough to be considered significant. If the probability falls below a chosen threshold, we conclude the finding is unlikely due to random variation and infer a real effect in the population. Describing data with graphs, counting occurrences, or summarizing the sample are descriptive tasks that show what the data look like, but they don’t address whether the finding would generalize beyond this sample.