# lec2 - BUAD 310 G MUKHERJEE FALL 2013 LECTURE 2 OUTLINE v...

This preview shows pages 1–11. Sign up to view the full content.

BUAD 310 G. MUKHERJEE FALL 2013: LECTURE 2

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
OUTLINE v Data Visualization and Summary Statistics § Categorical Variable [Ch 3]: nominal, ordinal (abbr. nom and ord) § Numerical Variable [Ch 4] (abbr. num) Graphical Display For distributions: § Bar charts, Pie charts [cat] § Histogram, Box Plots [num] Summary Statistics: § Measures of Central Tendency: Median [ord, num], Mean [num], Mode [cat, num,]. § Measures of Spread: IQR[ord, num], Standard Deviation [num].
Data v Consists of values of some variables measured or observed for some individuals (not necessarily people, also referred to as items) . v Variable is a characteristic of an individual. q qualitative a.k.a. categorical : Places an individual into one of several groups or categories ü Ordinal: categories can be ordered. ü Nominal: non-­‐ordinal. q quantitative a.k.a. numerical : takes numerical values for which arithmetic operations make sense

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Data Tables v Columns correspond to Variables. v Rows correspond to individuals. v Rows are often called observations or cases. v The number of rows is traditionally denoted by n. SAMPLE BUAD310 ROSTER
Exploratory Data Analysis Strategy for the initial examination of the data: 1. Begin by examining each variable. 2. Move on to the study of relationships. 3. At each stage start with graphs. Then add numerical summaries.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Distributions v Distribution of a variable What possible values the variable takes and how frequently it takes those values. There are many methods to describe and display distributions .
Distributions of Categorical Variables The values of a categorical variable are the labels for the categories. The distribution of a categorical variable is described by either the count or the percent of individuals who fall in each category. Example: BUAD310: Class Composition [2 sections taken together] CLASS LEVEL Count Percent U1 43 29.452 U2 57 39.041 U3 33 22.603 U4 13 8.904

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Graphs for Categorical Variables v In the bar chart the height of each bar is proportional to the count (or percent) in each category
Graphs for Categorical Variables v In the pie chart the area of each piece is proportional to the percent of individuals in each category

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Bar charts and Pie charts Bar chart is called a Pareto chart when the
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern