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Using Excel, analyse quantitative data that are available from the Learning Hub in the Assignment section. You will submit two files, an Excel file and a Word file containing a basic report to accompany the Excel file. The analysis should cover the following elements:
Part A. In Excel, complete the missing columns in the “Raw Data” sheet. In the report just state, in clear language, the total sales revenue for the last 36 months.
Part B. Find the number of rows for each source country. Also for at least 3 of the countries with the highest sales revenue in the last 36 months show a breakdown of descriptive statistics (mean, median, standard deviation, etc.) for at least 3 of the numerical variables (columns with continuous data, including monetary values)
for that country. Place this analysis into a worksheet titled “Part B Group [Group number]”. Use your group’s name or number in place of [Group number]. Note:
clear data in Excel y and succinctly explain the results in the report and use clear graphs to help.
Part C. In a separate worksheet titled “Charts and Graphs Group [Group number]”, find the frequencies (number of rows) for each Stock Type. From this data produce
the following for the report:
a. Pie chart,
b. Pareto chart
c. Also, choose two continuous variables and produce a scatter plot of one variable against another. In the same worksheet find the correlation coefficient, r, of the relationship between the variables. Place this in a worksheet called “Scatter Plot”. In the report, discuss the implications of the correlation value.
Any other charts or graphs that are used in the report should be placed in a worksheet titled “Report Charts and Graphs”.
Part D. Choose two stock types (preferably with relatively high frequencies). Choose any of the columns containing numerical data. Make a worksheet titled “Mean difference test Sem 2”. Add a table with just the data selected. In the same worksheet, perform an appropriate test to see if there is a significant difference between the mean values of the variables for the two stock types. In the report state the assumptions and conditions of the experiment, including ? level. Also, in the report clearly show the six steps of the test. Make sure you state your test
decision carefully, and very briefly state the business conclusion. Use graphs to help (box and whisker plot may help here).
Part E. Suppose that in a previous analysis, performed some years ago, the mean and standard deviation for the “Sales last 36 months (units)” variable were known to be, 3,450
? = 5,23.3data in Excel
Has there been a significant change in the mean for this variable? Perform an appropriate hypothesis test on this claim. Show your Excel working in a sheet titled
“Inference 2016 S1”. Show full, six-step working in the report (including statement of assumptions).
Also perform a basic test of normality on the data in Excel and discuss in the report.
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