Please help me with the following:
Briefly explain why experiments having faulty design or inconsistent data are problems for scientists. List several reasons.
There are several reasons that experiments with faulty designs or with inconsistent data are problematic for scientists. A person can make one of those problems if he or she were to poorly measure what they are studying. For example, someone measured the mass of a book correctly to be 2 pounds, and someone else measured it mistakenly to be 1 pound. Another way that a person can make problems with faulty designs and inconsistent data is the lack of accuracy and precision. This could happen when someone can have the value of 10 from a correct data set of 9, 10, 10, 11, and 12, and someone else can have the value of 10 from an incorrect data set of 5, 7, 19, 15, and 10. The first data set has a lot more precision that the second data set. Another example would be: Someone could have the value of 10 from a correct data set of 9, and 11. Someone else can have the value of 10, but have the incorrect data of 7, and 15. The first set has more accuracy than the second set. A third reason that faulty designed experiments and inconsistent data can happen is the flawed experiments. For flawed experiments to happen, they may be uncontrolled, untrustworthy conclusions, or being inconsistent with other tests performed. For the last reason that they can happen, there can be bias. this could happen when the samples are too small, not randomly selected samples, and some outliers are present.
Please tell me if there are some mistakes to be corrected, and please check my answer.
Any help will be greatly appreciated! :)
Is this better with the corrections I made?
There are several reasons that experiments with faulty designs or with inconsistent data are problematic for scientists. One reason for them to be problematic is if he or she were to poorly measure what they are studying. For example, someone measured the mass of a book correctly to be 2 pounds, and someone else measured it mistakenly to be 1 pound. Another way that faulty designed experiments and inconsistent data can be problematic is lack of accuracy and precision. This could happen when someone can have the value of 10 from a correct data set of 9, 10, 10, 11, and 12, and someone else can have the value of 10 from an incorrect data set of 5, 7, 19, 15, and 10. The first data set has a lot more precision that the second data set. Another example would be: Someone could have the value of 10 from a correct data set of 9, and 11. Someone else can have the value of 10, but have the incorrect data of 7, and 15. The first set has more accuracy than the second set. A third reason experiments with faulty designs or with inconsistent data are problematic is a flawed experiment. For flawed experiments to happen, they may be uncontrolled, untrustworthy conclusions, or being inconsistent with other tests performed. For the last reason that they can be problematic is bias. This could happen when the samples are too small, not randomly selected samples, and some outliers are present.
I just need to make sure that all corrections have been made. Please help check for corrections.
Any help will be greatly appreciated! :)
Never-mind, I got it. Thanks if anyone tried. :)
There are several reasons that experiments with faulty designs or with inconsistent data are problematic for scientists. A person can make one of those problems if he or she were to poorly measure what they are studying. For example, someone measured the mass of a book correctly to be 2 pounds, and someone else measured it mistakenly to be 1 pound
Your explanation contains some valid points, but there are a few areas that could be clarified or improved. Let's go through them:
1. Measurement Accuracy and Precision: You correctly mention that faulty measurements can introduce problems. However, it would be helpful to provide a clearer definition of accuracy and precision. Accuracy refers to how close a measured value is to the true value, while precision relates to how close repeated measurements are to each other. It would also be helpful to explain why accuracy and precision are important in scientific experiments, as they relate to the reliability of the data and the ability to draw valid conclusions.
2. Flawed Experiments: You briefly mention flawed experiments, but it would be beneficial to elaborate on what constitutes a flawed experiment. This could include factors such as a lack of control variables, poor experimental design, inadequate sample size, or failure to consider confounding variables. Explaining each of these factors and their impact on the validity of the results would enhance your answer.
3. Untrustworthy Conclusions: Instead of simply mentioning "untrustworthy conclusions," it would be helpful to explain how faulty experiment design or inconsistent data can lead to unreliable or misleading conclusions. Emphasize that scientists rely on accurate and consistent data to draw valid conclusions and make informed decisions.
4. Bias: You mention bias as a potential problem, but it would be beneficial to further explain how bias can arise in experiments, particularly through sample size, sampling methods, and the presence of outliers. Additionally, explain the impact of bias on the objectivity and generalizability of the results.
Once these areas are clarified and expanded upon, your answer will provide a more comprehensive explanation of why faulty experiment design or inconsistent data pose challenges for scientists.