Ethical Issue When Creating a Graph of Data
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Ethical Issue When Creating a Graph of Data
What ethical issues should you consider when creating a graph of data?
Discussion#3: Assume the financing gurus of a weekend investment television program predicted a 50% chance of XYZ stock gaining in January and a 50% chance of gaining in February. Your financial advisor sees this and tells you there is a 100% chance XYZ stock will gain over the 2-month period. Would you continue to use this financial advisor? Explain.
Discussion#4: Max Points: 8.0
Marie claims she can predict the sex of pregnant women’s babies. She sees 1,000 women a year, and she always predicts a female. She charges $1,000 for a prediction, and she always predicts a female (although clients do not know that). When she is wrong, she offers a double-your-money back guarantee. Since the chance of having a female is approximately 50%, how can she earn any money?
Discussion question#5: Provide some examples of discrete and continuous variables. What attributes of these variables make them discrete and continuous? Why?
Discussion#6: Max Points: 8.0
Describe the term mutually exclusive. Provide some examples. Must the values of x in a discrete probability distribution always be mutually exclusive? Why or why not? Provide an example.
Discussion question #6: Max Points: 8.0
You just saw an ad on television that states the majority of the population would vote to make smoking illegal. The poll that is referenced shows 53% of those asked supported making smoking illegal. In the fine print at the bottom of the screen, you see that the margin of error is +/- 3%. What is your reaction? Explain.
Discussion question#7: Max Points: 8.0
Many people believe that a larger sample is always better. What do you think? Explain.
Discussion Question#8: Your mayor just announced that the local unemployment rate dropped last month from the prior month. It went from 10.5% to 10.4%. Is this a significant drop? Explain.
Discussion Question#9: Max Points: 8.0
Provide an example of a situation in which you believe a Type I Error is more serious. Give an example of a situation in which you believe a Type II Error is more serious. In each case, why do you think so?
Discussion question#10: Max Points: 8.0
Describe when a z-test should be performed as opposed to a t-test? Which (if any) can we use all the time? Why or why not?
Discussion Question#11: Max Points: 8.0
Your manager, who just read an abridged version of a statistics book, wants you to test hypotheses for the difference in two population means. The sample sizes for each are 23. He is adamant that you perform a z-test. What would you tell him? What specific explanation would you give?
Discussion#12: Max Points: 8.0
A market researcher is interested in knowing the type of training that works best for DVD users. Thirty consumers are randomly selected from a population of known DVD owners (i.e., users). Ten users are trained by giving them the DVD user’s manual and allowing them to read it. Another 10 users are trained from a 30-minute DVD user training video. Another 10 users are trained from a self-paced computer tutorial. The users are then timed in their ability to setup and program the DVD by performing a series of operations. Which statistical analysis technique should be used? What is the null hypothesis? Can the market researcher get an answer? Why or why not?
Discussion Question#13: A client gives you a data set of 30 observed values that represent the number of gallons of gas that 30 individual Nissan Sentra owners purchased at the gas pump last month. Your client wants to know if the data set represents a normal distribution. Which statistical analysis technique should be used? What is the null hypothesis? Can an analysis be performed? Why or why not?
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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