Section 1: Quantitative Topic Descriiption You may choose any topic you wish as long as it involves quantitative data (numbers) of some kind, however, you may not use age for your quantitative topic without instructor approval. • In a paragraph or two describe your first topic by answering the following questions ➢ Why did you choose this topic and why is it of interest to you? ➢ What do you think you will learn from analyzing the data? What population will your sample represent? ➢ What potential sources of bias could occur due to your sampling method? Section 2: Quantitative Data Collection Methodology Collect a sample related to your topic. Your sample size (n) must be 41 or more. You may collect your data by conducting a survey or by observation. Other means of getting data may be used with instructor approval. The data must be quantitative as the term is defined in the text, so for whatever survey question you ask or whatever you observe, you must record numbers for your data. In several paragraphs describe how you obtained your data, including the phrasing of the question you asked and how you conducted your poll (e.g. asked friends, family, or coworkers in person, used social media, etc.). Section 3: Quantitative Data Analysis Analyze your quantitative data using descriiptive statistics. All work should be done using Excel. a. Provide a list of your original data sorted in ascending order. This should be a list of at least 41 numbers that are entered into the spreadsheet. b. Create a frequency distribution table using the methods described in class. Show upper- and lower-class limits, frequencies, relative frequencies, and cumulative frequencies. c. Create a histogram using the frequencies found in part (b). Be sure to include a title and axis labels. d. Create a Stem and Leaf display. Be sure to left justify the leaf column. Section 4: Conclusions for Quantitative Data In a paragraph or two describe any conclusions you could draw based on the analysis of the quantitative data. This should be your interpretation of what the analysis means, not just a summary. In other words, what do the tables and graphs you created tell you about the population from which you collected the data? (CONTINUED) MTH 143 755 – Com pu ter Project 1 (CONTINUED) Section 5: Qualitative Topic Descriiption You may choose any topic you wish as long as it involves qualitative data (categories) of some kind. In a paragraph or two describe your second topic by answering the following questions: Why did you choose this topic and why is it of interest to you? What do you think you will learn from analyzing the data? What population will your sample represent? What potential sources of bias could occur due to your sampling method? Section 6: Qualitative Data Collection Methodology Collect a sample related to your topic to address your research question. Your sample size (n) must be 41 or more with at least 6 different categories with at least one response. You may collect your data by conducting a survey or by observation. Other means of getting data may be used with instructor approval. In several paragraphs describe how you obtained your data, including the phrasing of the question you asked and how you conducted your poll (e.g. asked friends, family, or coworkers in person, used social media, etc.). Section 7: Qualitative Data Analysis Analyze your qualitative data using descriiptive statistics. All work should be done using Excel. a. Create a frequency table for your categories. Include relative frequencies b. Create a bar graph for your categories. Please name the x and y axis as well. c. Create a Pareto Diagram. Be sure to include a title and axis labels. Nominal data categories should be sorted from highest frequency to lowest. d. Create a Pie Chart. Be sure to include a title and axis labels. Section 8: Conclusions for Qualitative Data In a paragraph or two paragraphs describe any conclusions you could draw based on the analysis of the qualitative data. This should be your interpretation of what the analysis means, not just a summary. In other words, what do the tables and graphs you created tell you about the population from which you collected the data?
