CIS 362 Empirical Methods in Computer Science Sprrn Homework 1 Posted February 1 Due February 13, 2019 Individual assignment! Total of 168 points. This homework assignment will test the concepts of descriptive statistics, graphical representations and their interpretation. This is done in preparation to the projects on development and analysis of empirical tools such as surveys and case studies. You are provided with a data set as well as two documents showing you examples of how things should be done. Follow the guidelines, but do not copy from the supplied documents, from each other or Internet. Remember that first offense is penalized with zero points for the assignment. Second offense is penalized with zero points for homework, or project, or midterms) and report to the University. all assignments of the category (either 1: Descriptive statistics: numerical measures. To be generated/calculated utilizing Python programming language! Mean, median, standard deviation, variance, range, skewness, correlation (positive or negative), quartiles and outliers - you are provided with a data set on home equity loans. There is an additional file with the descriptions of the provided attributes. Develop descriptive statistics (numerical measures) for the numerical attributes of the provided data set. For each measure and attribute provide at least a paragraph of observation/interpretation (at least 150 words) to clarify the meaning of each measure and its impact on the data set utilization and understandin Grading: 9 features, 5 points each, 9 interpretations, 7 points each. (108 points) Problem 2: Descriptive statistics: tabular and graphical representation. To be generated/plotted utilizing Python programming language! Percent frequency, histogram, other visual representations (at least three of the ones covered in the course materials - scatter plots or bars or box plots) and their interpretations are to be done. Do not limit yourself to only one frequency distribution, rather justify the use of the best one. Again, as with Problem 1, for each statistical measure, provide at least a paragraph of observation/interpretation (at least 150 words) to clarify the meaning of each measure and its impact on the data set utilization and understanding. Grading: 5 features, 5 points each, 5 interpretations, 7 points each. (60 points) CIS 362 Empirical Methods in Computer Science Sprrn Homework 1 Posted February 1 Due February 13, 2019 Individual assignment! Total of 168 points. This homework assignment will test the concepts of descriptive statistics, graphical representations and their interpretation. This is done in preparation to the projects on development and analysis of empirical tools such as surveys and case studies. You are provided with a data set as well as two documents showing you examples of how things should be done. Follow the guidelines, but do not copy from the supplied documents, from each other or Internet. Remember that first offense is penalized with zero points for the assignment. Second offense is penalized with zero points for homework, or project, or midterms) and report to the University. all assignments of the category (either 1: Descriptive statistics: numerical measures. To be generated/calculated utilizing Python programming language! Mean, median, standard deviation, variance, range, skewness, correlation (positive or negative), quartiles and outliers - you are provided with a data set on home equity loans. There is an additional file with the descriptions of the provided attributes. Develop descriptive statistics (numerical measures) for the numerical attributes of the provided data set. For each measure and attribute provide at least a paragraph of observation/interpretation (at least 150 words) to clarify the meaning of each measure and its impact on the data set utilization and understandin Grading: 9 features, 5 points each, 9 interpretations, 7 points each. (108 points) Problem 2: Descriptive statistics: tabular and graphical representation. To be generated/plotted utilizing Python programming language! Percent frequency, histogram, other visual representations (at least three of the ones covered in the course materials - scatter plots or bars or box plots) and their interpretations are to be done. Do not limit yourself to only one frequency distribution, rather justify the use of the best one. Again, as with Problem 1, for each statistical measure, provide at least a paragraph of observation/interpretation (at least 150 words) to clarify the meaning of each measure and its impact on the data set utilization and understanding. Grading: 5 features, 5 points each, 5 interpretations, 7 points each. (60 points)
