Imagine that you read a study of the effects of exercise on the prevalence of heart disease in women ages 35 to 65. Although you believe the experiment was carried out in an appropriate manner, you still do not believe the results. You decide to conduct your own study to see for yourself. To determine if the results of the first study are valid, would you want to do everything the same way as the first study or would you change several of the variables, such as studying men, or looking at different age groups? Explain your choice, and explain the consequences of the other choice.

In the given case, in my opinion, one should perform the experiment in a similar manner with no change. An experiment is done many times in order to omit any influences of sampling or handling on the outcomes of the study. For this purpose, the repetitive experiments have to be performed in a similar way as the previous ones were performed. After that, the outcomes of the repetitive experiment and the initial one are compared.

If any conditions or variables are changed in the experiment, the outcomes of the repeated experiment cannot be compared with the initial one. As variations in experimental material, variables, or procedure would have influenced the outcomes.

Histrionicus Histrionicus · Answer 2 · 2020-01-28T10:48:51+01:00

Answer:

The correct answer is - the study will follow same way as the first study conducted.

Explanation:

If any research or study is meant to be tested the most comparable and accurate one should conduct his or her study on the same way the experiment has been conducted first time. It should not change any variable or conditions as it may lead to fluctuation in the results as well.

So the change in the variable will lead to the change in the results and it will be tough to compare the results.

Thus, the correct answer is - the study will follow same way as the first study conducted.

To be most comparable, you would conduct your new study in the exact same manner as the previous study. If you were to change any of the variables, then the results might change as well; thus, you would not be able to compare your new results to the first study.