Microsoft Excel - Descriptive Statistics - Predefined Functions
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Microsoft Excel - Descriptive Statistics - Predefined Functions
MICROSOFT EXCEL:DESCRIPTIVE STATISTICS II. Learning Objectives: •.
Working with user defines functions. (Exercise 1 & 2). •. Creating r×n contingency
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MICROSOFT EXCEL: DESCRIPTIVE STATISTICS II Learning Objectives:
Working with user defines functions. (Exercise 1 & 2) Creating r×n contingency table [Data - Pivot Table and PivotChart Reports]. (Exercise 1 & 2) Creating graphical representations of qualitative variables (one and two variables). (Exercise 1 & 2) Creating Histograms [Data – Data Analysis - Histogram]. (Exercise 1 and 2) Working with Descriptive Statistics option. (Exercise 1 and 2)
EXERCISE 1 1. Copy the data from CholDB.xls file into a new Microsoft Excel file named Data_PA06.xlsx and save it in the in Lab06 folder. Name the sheet with the data as Data. 2. Calculate for each patient the value of ponderal index (PI column) of using the following formula: PI = weight(kg)/height(m3) 3. Calculate for each patient the value for LDL1 (LDL1 column) of using the following formula: LDL1 = Cholesterol - HDL - TG/5.0 4. Calculate for each patient the value for LDL2 (LDL2 column) of using the following formula: LDL2 = Cholesterol/1.19 + TG/1.9 - HDL/1.1 - 38 5. Display the IF-TG status as normal / high value of each patient using the following criterion: A patient has a normal value IF TG < 150 mg/dL 6. Insert a new sheet and name it Graphs. Copy in Graphs sheet using Paste Special option [Home – Paste – Paste Special – Values and Numbers Format] all data from Data sheet. Create in this file the following graphical representations: a. Pie chart: Use Pivot Table and PivotChart Reports option to create the frequency table gender. Based on the obtained frequency table create in Graphs sheet a Pie chart. b. 100% Stacked Column chart: Use Pivot Table and PivotChart Reports option to create a contingency table with gender on rows and genetic susceptibility on columns. Copy the values of the contingency table in a new table as: Genetic susceptibility=yes Genetic susceptibility=no Female Male Based in the above table, create a 100% Stacked Column chart. c. Histogram (no constrains regarding the classes of frequencies): Create the distribution of HLD. Your graphical representation is expected to be like the one in the image bellow:
Is data presented in the Histogram graph normal distributed? Write your answer under the graphical representation and provide also the reason able to sustain your answer. d. Histogram (classes of frequencies provided): Create the distribution of HLD using the following frequency classes 53. Your graphical representation will look like the one in the image bellow:
7. Insert a new sheet and name it Descriptive Statistics. Copy in Descriptive Statistics sheet all data from Data sheet using Paste Special option [Home – Paste – Paste Special – Values and Numbers Format]. a. Compute descriptive statistics parameters for all quantitative variables. Formating the obtained results to look like the one in the following image:
b. Under the descriptive statistic table, calculate for each quantitative variable the value of coefficient of variation (CV=(standard deviation/mean)*100):
c. Interpret the value of coefficient of variation. d. Sort the data ascending according to group and compute descriptive statistics parameters for each group (separately for case group and for control group).
EXERCISE 2 The CholDB.xls will be also use for the requests of the second exercise. 1. Copy the data from CholDB.xls file into a new Microsoft Excel file named Data2_PA06.xlsx and save it in the in Lab06 folder. Name the sheet with the data as Data. 2. Insert a new sheet and name it Histograms. Copy in the Histogram sheet Gender and Cholesterol columns. Sort data according to gender and create 2 histograms of cholesterol: one for male and the other one for female. 3. Insert a new sheet and name it Column Chart. Copy in this sheet the Group and Genetic susceptibility columns. Create based on these two columns a 100% Stacked Column chart. 4. Insert a new sheet and name it Descriptive statistics. Copy here the following variables: Gender, Age (Years), Height (cm), Weight (kg), Cholesterol (mg/dL), HDL (mg/dL), and TG (mg/dL). Sort data according to gender and compute descriptive statistics parameters separately for each gender (male and female).
