Summary statistics are a collection of measurements that provide insight into a data set. Although the data sets that you have worked with in this course are relatively small, some data sets are enormous, with thousands of variables and millions of values. Summary statistics provide a simple means by which to characterize any data set, no matter what its size. Think of summary statistics as the vital signs of your data. Just like your vital signs (temperature, pulse, and blood pressure) provide insight into the state of your health based on a few simple numbers, the central tendency and spread of a data set provide basic information about the nature of a data set.
As you read the assigned chapter in the textbook, remember to focus on the concepts that are discussed, rather than getting bogged down in the mathematical formulas. Even the first formula presented in the chapter, used to calculate the mean, employs complex mathematical symbols to designate a simple concept. You do not need to decrypt sigma notation for a finite series to understand what an arithmetic mean is. You simply need to know that a mean is equal to the sum of the data divided by the number of data points. Then, you unleash the power of SPSS to calculate all of that for you.
Important note: This module includes some very complex calculations, including the standard deviation. Calculating that by hand is not a good use of your time, especially considering the powerful statistical software you have at your disposal.
To prepare for this Discussion, complete the following tasks:
Your posts in the Discussion may include questions or insights about the required reading, the demonstration video, the assigned Study Questions, the solutions for the assigned Study Questions, or any combination thereof. If you do not have questions about the Assignment and believe that you have mastered the material for this module, use the Discussion to answer your colleagues’ questions, offering insight, advice, strategies, and assistance.
|This Discussion will be available from Day 1 of Week 8 through Day 7 of Week 9 of this module. You are required to submit your initial post by Day 5 of Week 8. You are encouraged to post early. Once you have submitted your initial post, start engaging in a discussion with your colleagues. Begin engaging with your colleagues by no later than Day 7 of Week 8 and continue to interact frequently with your colleagues through Day 7 of Week 9. Part of what makes a Discussion a discussion and not a lecture is the back-and-forth, in-depth, animated interaction of at least two people. If you start a topic and none of your colleagues are responding, consider what you can do to get the conversation going. Include something that would elicit further thoughts and different opinions from colleagues. See your Discussion rubric in the Course Information area of the course navigation menu for specific grading requirements.|
Complete your initial post by Day 5 of Week 8. Ask and answer questions, collaborating with your peers to gain a robust understanding of the concepts presented in this module. Remember, this post (and all Discussion posts for this course) should be written to spark discussion among your colleagues. In other words, your post should not contain a statement of fact or a list of solutions to the exercises. Do not be afraid to ask for help, and do not be hesitant to offer it. Remember to conduct yourself professionally and patiently with your colleagues.
Begin engaging with your colleagues by participating in the Discussion by no later than Day 7 of Week 8. In your responses, contribute multiple meaningful, substantive ideas, suggestions, and insights on the focus topic. Present your written contributions in a polished, professional manner. Continue engaging in the Discussion through Day 7 of Week 9.
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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