### Question 4**Scenario:** I poll all people (both students and professors) at Baylor about their average food expenditures each week. I do this through an Instagram poll. What bias or effect might I see?**Options:**- Response bias- Hawthorne effect- Nonresponse bias- Placebo effect- Selection bias- Rosenthal effect### Explanation:This question addresses potential biases or effects that may arise when conducting surveys or polls. The use of an Instagram poll as a method of data collection can influence the results in various ways. Here's a brief explanation of each option:- **Response bias:** This occurs when participants provide inaccurate answers due to the way questions are asked or due to their perceptions, potentially skewing the data.- **Hawthorne effect:** This refers to the tendency of people to change their behavior because they are aware they are being observed.- **Nonresponse bias:** This occurs when certain individuals do not respond to the poll, leading to a sample that is not fully representative of the entire population.- **Placebo effect:** This is more relevant in experimental settings, where participants show changes due to their belief in being treated, rather than due to the actual treatment.- **Selection bias:** This occurs when the sample is not representative of the population due to the method of participant selection.- **Rosenthal effect:** Also known as the experimenter expectancy effect, this refers to the influence that a researcher's expectations might have on the participants of a study.In this scenario, using an Instagram poll could particularly lead to nonresponse and selection biases, depending on who follows the account and chooses to respond.

I poll all people (both students and professors) at Baylor about their average food expenditures…

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MATLAB: An Introduction with Applications

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4 I poll all people (both students and professors) at Baylor about their average food expenditures each week. I do this through an instagram poll. What blas or effect might I see? response bias Hawthorne effect nonresponse bias 000000 placebo effect selection bias Rosenthall effect