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Group 1 Discussion - Week 6

Group 1 Discussion - Week 6

Q COLLAPSE Ethical Implications of the Use of Data and Statistics Few people are surprised when politicians are accused of misusing data, but the misrepresentation of information is a fairly common occurrence in other settings as well. For example, educators and/or administrators may be disheartened by the data coming from their school district’s presentations concerning student performance. Or a training manager may be taken by surprise when the funding is cut for a training program he believes is worthwhile. While the numbers or data may not be false, they may be presented in a way that creates a false impression. For this Discussion, recall the examples from this week’s Learning Resources regarding how data can be misused or misinterpreted. Also reflect on the old adage: “Figures never lie, but all liars figure.” Then, bring to mind a situation or study in which numbers or statistics were used improperly, or come up with your own example of how this could be done. With these thoughts in mind: By Day 3 Post a description of a situation/study or hypothetical example in which data or statistics are presented in a way that either intentionally or unintentionally misleads the reader or listener. By Day 7 Read a selection of your colleagues’ postings. Respond to two or more of your colleagues’ postings. Using the knowledge you gained from this week’s reading, explain how your colleague’s example creates a false impression in the reader’s/listener’s mind. In your response, analyze the ethical implications or the consequences that could result from the situation described. Offer an alternate explanation or describe a better way to accurately present the data cited in your colleague’s posting. Return to the Discussion in a few days to read the responses to your initial posting. Reflect on what you learned and/or insights you gained, and how these insights will help you become a more critical reader of research. Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message.

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There are misleading statistics of using incorrect data. The results shown can give information that is not accurate. Errors such as having two y-axis or having graphs that don't start at zero (Statistics How To, 2016). People can believe the presented information without paying any attention to the actual data. This is why exploring further will give you more insight and accurate information. The same information was used in both these graphs. The difference is that they did not start from zero on the left, so the charts look very different.