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screen. But, there are times when statistics can be misleading or incomplete. Please share with us a statistic that you feel is misleading or confusing. Be sure to clearly define the statistic you have identified and clearly articulate why you find it to be misleading or confusing.Instructions:To make a post to this week's Discussion Forum, click on the Statistics Can Be Misleading link, then click Start a New Conversation. In the title block of the dialog box that appears insert your first and last name; compose your post in the message box; and then click Post Message.Your initial post(6 points) should be at least 250 words. You must also respond to at least 2 other students. Responses(2 points each) should be a minimum of 50 words and may include direct questions. Good afternoon class,I enjoyed reading the chapters in the textbook using Smart Book because it makes things easy to comprehend and remember. I am going to provide a couple of examples how statistics can be misleading. First, I will recap some of the main points from the book relating to this particular topic.
Bluman (2016) found several reasons statistics are misused: to sell products that do not work properly,at attempt to prove something true that is really not, or to get our attention by using statistics to evoke fear, shock, and outrage (p. 21). Some ways that statistics can be misrepresented are as follows:Suspect samplesAmbiguous averagesChanging the subjectDetached statisticsImplied connectionsMisleading graphsFaulty survey questions (Bluman, 2016, p. 22-23)The YouTube video I discovered reminds us that statistics are persuasive, but we must pay attention forlurking factors (Liddell, 2016). The example is provided about two hospitals one must choose from for an elderly relative’s surgery. Here’s what we’re given: