Quantitative Data Collection Methodology

  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 samples represent? What relationship do you believe exists between the variables (i.e. positive or negative correlation)? What potential sources of bias could occur due to your sampling method? Section 2: Quantitative Data Collection Methodology Collect a samples of paired data where the sample size ( n ) is 60 or more. For example, if you were interested in how work affects students’ grades, you could collect the GPA and the number of work hours for 40 students. You must obtain 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 questions you asked and how you conducted your poll (e.g. asked friends, family, coworkers, etc.). Section 3: Quantitative Data Analysis Analyze the two variables separately. Treat the paired data you collected as two separate samples and calculate the following for each variable. a. Calculate the mean, median, and mode. b. Create a frequency distribution table. Include both relative and cumulative frequencies. c. Calculate the range and then use the Range Rule of Thumb to estimate the standard deviation. d. Calculate the standard deviation and the variance from the original data. e. Calculate the 5-number summary. f. Create a boxplot for the data. g. Create a bar chart for the data. Analyze the paired data to explore their relationship if one exists. a. Create a scatter diagram for the paired data. b. Calculate the correlation coefficient. c. Calculate the slope and intercept for the regression equation. Write the equation in slope-intercept form. Round off the values to 3 significant digits. Section 5: Conclusions In several paragraphs describe any conclusions you could draw based on the analyses you have performed. Be sure to discuss the analysis of your x variable, your y variable, as well as the paired data analysis. This should be your interpretation of the results, not just a summary. In other words, what do the values you calculated tell you about the population from which you collected the data? Be sure to address whether or not the paired data analysis supports the type of relationship you proposed in your topic descriiption.