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You should submit your work as an Excel spreadsheet. Running a Microsoft Excel based descriptive statistics analysis. and some scatter diagrams will be presented in order to run a first step description and analysis of the Ibell data.
HOW TO USE DATA ANALYSIS IN EXCEL FOR QMB CLASS SOFTWARE
Students use a computer software package for data analysis. Emphasis is on applications, concepts and interpretation of results, rather than theory and calculations. Thus, the data has not been personally collected and hence the author of this. Topics include descriptive statistics, interval estimation, hypothesis tests, correlation and regression analysis, analysis of variance and analysis of categorical data. You will also be more of an expert in the use of Microsoft Excel as a powerful tool to do that data analysis. How did the data change when you changed the parameters? What comparison conclusions can you draw from your findings? Your summary write-up should show your understanding of the analysis method and should be clearly written using formal English and APA style. The present data set was provided by the professor of the QMB class. After finishing this course, you should be both proficient and conversant in most of the popular techniques used in statistical data collection, analysis, and reporting. Describe the variables you chose and the typical salaries you found. Once you have completed your calculations, write a 1–2 paragraph summary of your findings. You can also use your own sources as long as you provide us with the link. You have to sign up for an account, but that’s quick and free. Also, using the standard error formula, what is the upper level and lower level at 95% confidence and what is your conclusion? You may also want to get data from (Links to an external site.) this site provides a lot of salary information by title and location. Be sure to tell us the range, 1st quartile, 3rd quartile, interquartile range, mean, median, and mode. Then change ONE of the parameters (either the job category OR the location but not both) and collect another 30 salaries (Do not use the results if fewer than 20 jobs are listed.)Ĭompute the descriptive statistics and create a frequency distribution for the two sets of salaries. Then look through the first 30 jobs listed and record the annual salaries (assume 40 hours/week, 50 weeks/year, 2000 hours/year).
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(Links to an external site.) Choose any job category and location. For this assignment, you will conduct research to gather data on career salaries, and you will practice analyzing that data using descriptive statistics.