Question

How do you response to the discussion post below posted by a classmate. Thank you in advance!

If I had to conduct the sample survey for the toothpaste between brand A and brand B, I would obtain enough product of both brand A and brand B. I would then select the 100 people to conduct the survey randomly and select the participants at random. It would be easier to find participants if the survey was paid for but if not I would send out the survey until I got the 100 participants. The ethical implications of using only the employees of the product that was being surveyed is that the results would not be accurate. People that work for brand A could be said that they would only vote for brand A so they can keep their jobs. This would not give an accurate assessment.

For the second part of the survey if I conducted the random sampling and found that 35/100 prefer brand A, the manufacturer could not say their claim was true. The 35 is too far out of the range of 40 to be considered within the standard deviation. If the sample of 100 only found 25 who preferred brand A the ad should not be run either. They could possibly run the test two or more times to see if that outcome was an anomaly, assuming that the other two sampling trials met the 40 out of 100 claim that they previously stated.

Answer 1

I agree to the student's explanation and the claim about the random sampling and selection of sample units from population I,e; employees of the brand A and B. But, I would use customers of those brands instead of considering only the employees so that a better and effective assessment could be made. There are lot of people who may use those brands and it will be easier to obtain sencere data regarding the Product and their perceptions.

If the same results are obtained from the sample data, which is only 35 preferred brand A over B, then again the analysis will be repeated unless a desired level of outcome is reached. Therefore, it is important to apply suitable data collection techniques, analysis and testing to get correct results. It is necessary to consider the manufacturer as well as the users of the products so that no bias is made. And the test provide correct results for drawing conclusions which will help both the brands.