• Home
  • Blog
  • Excel data analysis | Computer Science homework help

Excel data analysis | Computer Science homework help

0 comments

ORDER A CUSTOM PAPER FROM US 

 X1 in the EXCEL file corresponds to question 1.X15 corresponds to question 15 etc.You must complete these analytic functions for all 59 questions: X1 – X59.Descriptive StatisticsHistogram (bar chart) with Frequency Distribution Table and Pie Chart with labelsCorrelationRegressionThe data is coded.For some questions the coding is 1-10 for an interval scale and others 1-5 for a 5 point Likert scale.Not all scales in this questionnaire have the same descriptors. You must read the questionnaire.It is impossible to interpret the data without referring to the questionnaire.Some questions include scales that use these 5 descriptors(Strongly Agree, Agree Undecided, Disagree, Strongly Disagree) and other questions include scales that use 5 different descriptors.Descriptive StatisticsYou will use EXCEL to generate the Descriptive Statistics for all variables: X1 – X59.You must interpret and in explain in words the Mean.HistogramsYou will create histograms (bar charts) with frequency distribution tables and pie charts with labels.Labels are important since color coded pie slices may not always be viewed in color.After clicking DATA, DATA ANALYSIS, and then HISTOGRAMEXCEL will ask you for input and the BIN.You will need to create a table in EXCEL which lists the coding for the Bin Input.The BIN is 1, 2, 3, 4, 5 for some questions and you should include the descriptors Strongly Agree, Agree, Undecided, Disagree, Strongly Disagree, and Not Applicable.For other questions the BIN will be 1, 2, 3, 4, 5, 6, 7, 8, 9, 10.CorrelationDetermine the Pearson Correlation Coefficient for:Gender and Satisfaction with Your Car (X16)Gender and Color (X22)Place of Birth and Employment Status RegressionUse EXCEL to generate a regression analysis for:Dependent Variable: X 16 – Level of SatisfactionIndependent Variables: X17, X18, X19, X20, X21, X22, X23, X24 and X25.

About the Author

Follow me


{"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"}