# Exploring frequency distributions | Business & Finance homework help

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The textbook reading for this module provides a good foundation for understanding data frequency, including important terms, such as departures from symmetry as evidenced by positive and negative skewedness and different categories of flatness or peaked shapes as measured by kurtosis. It also explains, in detail, how to construct one of the simplest visual representations of data frequency: the stem-and-leaf plot (stemplot).

Although it is not difficult to construct stemplots by hand, practice generating them using SPSS, as modeled in the demonstration video. Remember, for the purposes of this course, you are focusing on SPSS software. Once you understand how to read and interpret a stemplot, feel free to skim through the rest of section 3.1. However, return to focused textbook reading with sections 3.2 and 3.3, which discuss frequency tables and charts.

To prepare for this Discussion, complete the following tasks:

1. Read the assigned portion of the textbook
2. Watch the demonstration videos provided in the Learning Resources
3. Review the end-of-chapter Review Questions and Exercises on pages 67–75, which are designed to help you practice–and assess your understanding of–the concepts presented in the chapter
4. Complete the following assigned Study Questions, for which answers are provided in the Learning Resources:
• Review Questions 3.2, 3.3, 3.7, 3.8, and 3.19
• Exercise 3.6
• Additional Questions 1 and 2 located on the Solutions for Study Questions document in the Learning Resources for this module

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 6 through Day 7 of Week 7 of this module. You are required to submit your initial post by Day 5 of Week 6. 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 6 and continue to interact frequently with your colleagues through Day 7 of Week 7. 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 posts by Day 5 of Week 6. 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 6. 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 7.

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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