1.Locate a visual presentation of data in a newspaper, magazine, or Internet article and if possible attach it to your post or give a link to it so that we may find it. Outline what is being represented in the information and then determine whether or not any abuses of visual displays are being used to mislead the viewer. Argue your point why you think this and, if there are abuses, what they could do to make it correct.
2. Coefficient of variation and standard deviation are two measures of dispersion or spread among data values. Provide two different sets of ten data points each as examples. Explain which of the two mentioned measures can more accurately specify which of these two data sets have more spread or variability in their data values. Calculate the standard deviation and coefficient of variation for each data set to clarify your explanation.
3. Do you use probability in your profession or real life? You most likely do. Give an example of how you have used probability in your life. Be sure to show how you calculated it. Did the resulting outcome of the event back up your probability that you calculated? If not what were the reasons why?
4. Provide an example of a binomial random variable as these apply to something in your life. Specifically, provide a ”real world” example of a random variable that would satisfy the characteristics of the binomial. Be specific in your reply as it relates to your life.
5. When one thinks of the normal distribution the first thing that comes to mind is the bell curve and grades. While this is one example of a normal curve that is widely recognized, it is not the only one. Try to come up with a unique normal distribution that your classmates have not posted already. Explain your curve with all the details you could find such as the mean and standard deviation. What do the areas in the intervals µ – σ to µ + σ, µ – 2σ to µ + 2σ and µ – 3σ to µ + 3σ represent as far as areas under the normal curve? If you have the mean and standard deviation, calculate what the actual intervals are for your curve. Please include any citations on where you obtained your data for the curve
6. One can calculate the 95% confidence interval for the mean with the population standard deviation known. This will give us an upper and a lower confidence limit. What happens if we decide to calculate the 99% confidence interval? Describe how the increase in the confidence level has changed the width of the confidence interval. Do the same for the confidence interval set at 80%. If it helps you to visualize or describe any of the above, you can use an example and give real values for the intervals in your post.
7. Share with your peers the null and alternative hypotheses for a decision that is relevant to your life. This can be a personal item or something at work. Additionally, identify the Type I and Type II Errors that could occur with your decision‐making process.
8. Regression analysis can be used to analyze how a change in one variable impacts the other variable, such as an increase in marketing budget increasing sales. Find a unique area of your life where one variable impacts the other variable that are both measurable and do a regression analysis on it. Share your results and make any comments as to whether or not there is a possibility of potential problems (causation or extrapolation) with your results.
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