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Business Statistics: Chapter 2 In-Class Exercise - Pareto Analysis and Data Analysis - Pro, Study notes of Business Statistics

The key concepts of chapter 2 in the business statistics course, focusing on pareto diagrams and data analysis. Students will learn about the 80/20 rule, improving frequencies, less frequencies, and how to calculate mean, median, mode, and create histograms and stem-and-leaf diagrams. The document also includes an exercise for calculating these statistics using given data.

Typology: Study notes

Pre 2010

Uploaded on 08/05/2009

koofers-user-4zi
koofers-user-4zi 🇺🇸

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BA 253: Business Statistics 09/03/08
Today Friday
Chapter 2 In Class Exercise 1
Start Chapter 3
Roll call
Pareto Diagram
o80/20 Rule
oSeparates “Vital Few” from “Trivial Many”
oHow to Improve FLC
Review Best
Do Worst
oLook up on Google.
Chapter 2 (Descriptive Tables and Graphs)
Qualitative (pp. 25-28) versus Quantitative
Data: How many minutes to commute to class?
oCollect data.
oOrdered Array
oFrequency
oRelative Frequency
oHistogram (5-10 classes, choose 6, not RS)
oClass Width = (Biggest – Smallest)/Number of Classes
oStem-and-Leaf
oMean, Median, Mode
By hand.
Calculator
oDo on Excel?
Data: 53, 76, 71, 72, 64, 85, 68, 63, 73, 71, 82, 79, 76, 70, 58
on = ?, OA, F, RF, H (5 classes), S&L
Collect Textbook Data

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BA 253: Business Statistics 09/03/ Today Friday Chapter 2 In Class Exercise 1 Start Chapter 3  Roll call  Pareto Diagram o 80/20 Rule o Separates “Vital Few” from “Trivial Many” o How to Improve FLC  Review Best  Do Worst o Look up on Google. Chapter 2 (Descriptive Tables and Graphs)  Qualitative (pp. 25-28) versus Quantitative  Data: How many minutes to commute to class? o Collect data. o Ordered Array o Frequency o Relative Frequency o Histogram (5-10 classes, choose 6, not RS) o Class Width = (Biggest – Smallest)/Number of Classes o Stem-and-Leaf o Mean, Median, Mode  By hand.  Calculator o Do on Excel?  Data: 53, 76, 71, 72, 64, 85, 68, 63, 73, 71, 82, 79, 76, 70, 58 o n = ?, OA, F, RF, H (5 classes), S&L  Collect Textbook Data