3/9/2023 0 Comments The texas sharpshooter fallacySince the sample only included sedentary individuals, the results can only be generalized to other sedentary individuals. The study concludes that everyone interested in enhancing their cardiovascular fitness level should begin utilizing this piece of equipment.ĭo you see any issues with this study or its conclusion? You should. The experimental group improves their cardiovascular fitness level to a large extent and the control group remains the same as when they started. The experimental group trains on the new device and the control group goes home and doesn’t change anything about their lifestyle. Both groups go through cardiovascular fitness testing pre and post protocol. You randomly assign 30 to the experimental group and 30 to the control group. Imagine you are testing a new piece of aerobic training equipment and you have a sample of 60 sedentary individuals. Let’s consider an example that is more relatable to kinesiology. A more appropriate statement would be that “we had to drop our prices by x% in order to get customers.” However, I’m not sure that would be approved by a marketing department. Since they are using a sample that does not represent the entire population, this is a selection bias issue. They are only asking their customers, who switched and more than likely had some financial incentive to do so. What type of person would not switch companies? The one who doesn’t save any money or have any financial incentive to do so. Why would someone switch companies? Because they saved money. They are saying that their customers saved money when they switched. They are not saying that their prices are some percentage less than their competitors at all. As a potential customer this may sound like a good deal, but think it through. One of the best examples of doing this incorrectly comes from car insurance commercials and their marketing that often say customers saved some percentage or a certain amount of money by switching to their company. We should always question whether or not our sample is truly random and if it is a good representation of our population. We won’t often be able to test an entire population, so we should test a random sample in hopes that the results will be representative of the overall population. This will be discussed again with sampling for surveys and questionnaires, but this issue can hurt us in any study where a sample is used to generalize some result to an entire population.
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