The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among four variables: 2015 Profit in millions of dollars 2016 Profit in millions of dollars 2015-2016 Two-Year Change in Daily Average Customer Visits Two-Year Average Number of Employees Data collected for the sample of 200 businesses is contained in the file named Businesses, linked at the bottom of the page. Be sure to use all 200 data points. Managerial Report Prepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a client’s business. Be sure to include the following three items in your report. Compute descriptive sample statistics (mean, median, two quartiles Q1 and Q3 (using QUARTILE.EXC), minimum, maximum, range, interquartile range, sample standard deviation, and coefficient of variation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the client businesses. In this case, which measure of central tendency would be best for this application? Explain why. Which measure of variation would be best for this application? Explain why. How can one use the above descriptive statistics to understand the businesses better? Which graphical displays of data would you use to help understand or complement the above descriptive statistics? Explain how and why. Compute the percent change in profit from 2015 to 2016 for each business. What would the percent change tell us in this application? Then use the z-score to determine which businesses were outliers with respect to percent change in profit. How would identifying outliers be useful in this application? What advice might you give to businesses that are outliers? How else would you determine outliers? Compute the sample correlation coefficient, showing the relationship between percent change in profit and each of the other two variables (2015-2016 Two-Year Change in Daily Average Customer Visits and Two-Year Average Number of Employees). Explain what the correlation coefficients tell us about the three pairs of relationships. Use tables, charts, or graphs to support your conclusions. 

Qualitative Data Analysis 250-400 word for each part in APA format required. Scholarly peer-reviewed references required within the last five years.Books from Google Scholar are not accepted as peer-reviewed material Part 1 Suppose you are interested in the behaviors of physicians that have high ratings of patient satisfaction. The research goal is to identify the behaviors in the natural clinical settings of these successful physicians so that these behaviors can be built into the curricula of medical preparation programs. The main data were collected by the video recording of five randomly selected physician-patient encounters from 10 physicians who have been rated highly by patients in a reliable satisfaction survey. Assume that you reviewed the literature on physician communication skills as a major component of patient satisfaction. Based on this idea, what might be some of the initial codes that you could use to label the data units? How would you justify this set of codes in your research report? Part 2 Suppose you are interested in the behaviors of physicians that have high ratings of patient satisfaction. The research goal is to identify the behaviors in the natural clinical settings of these successful physicians so that these behaviors can be built into the curricula of medical preparation programs. The main data were collected by the video recording of five randomly selected physician-patient encounters from 10 physicians who have been rated highly by patients in a reliable satisfaction survey. Assume that you reviewed the literature on physician communication skills as a major component of patient satisfaction. Based on this idea, what might be some of the initial codes that you could use to label the data units? How would you justify this set of codes in your research report?