Question

question 13 (2.5 points) why do scientists typically design experiments that will yield quantitative results? scientists are unable to perform qualitative studies. quantitative results minimize the potential for bias. to prevent other scientists from repeating their experiments. scientists cannot always observe all individuals of a group. quantitative results increase desirable bias. question 14 (2.5 points) in science, if a result is deemed statistically significant, that means it is a very important result it has a high probability of being incorrect

Explanation:

Question 13

Quantitative results are objective and based on numerical data, which reduces the influence of personal - opinion - based bias. Scientists prefer them for this reason. The other options are incorrect as scientists can perform qualitative studies, they don't design experiments to prevent repetition, the inability to observe all individuals is not the main reason for seeking quantitative results, and bias is not increased by quantitative results.

Statistical significance means that the result is unlikely to have occurred by chance. It doesn't necessarily mean the result is very important, and a statistically significant result has a low probability of being incorrect.

Answer:

Quantitative results minimize the potential for bias.

Question 14