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1 review
by: Brandon Liu

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# MGT 2250 Week 1 Notes MGT 2200 B

Brandon Liu

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Lecture notes from week 1, chapters 1, 2, and 3
COURSE
Information Technology
PROF.
Cummins
TYPE
Class Notes
PAGES
1
WORDS
KARMA
Free

## 1

1 review
"Yes YES!! Thank you for these. I'm such a bad notetaker :/ will definitely be looking forward to these"
Maryse Thiel

## Popular in Information Technology

This 1 page Class Notes was uploaded by Brandon Liu on Saturday January 16, 2016. The Class Notes belongs to MGT 2200 B at Georgia Institute of Technology - Main Campus taught by Cummins in Spring 2016. Since its upload, it has received 13 views. For similar materials see Information Technology in Business, management at Georgia Institute of Technology - Main Campus.

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## Reviews for MGT 2250 Week 1 Notes

Yes YES!! Thank you for these. I'm such a bad notetaker :/ will definitely be looking forward to these

-Maryse Thiel

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Date Created: 01/16/16
Lecture: Chapter 3 1/15/16  The reason we study statistics is to predict the future  Need to know cause and effect  Use present to infer the future  Statistics makes a lot of assumptions Describing Data  Cannot infer cause and effect from descriptive representations of data  Distribution of categorical variable-a list of values, and the counts/frequency for each value  Variables can take on many values  Frequency table-summarizes the distribution of a categorical variable  Relative frequency table-shows proportion in each category  More than 5 rows in a table, graph it  Tables; o Provide exact counts o Amount of data can be overwhelming o Not possible to see trends o Does not communicate meaning  Pie charts only show proportions, not frequencies  Area Principle o Fundamental Rule for Data Displays o Area occupied by a part of the graph/chart showing data SHOULD BE PROPORTIONAL TO THE AMOUNT OF DATA IT REPRESENTS  If your graph gets the message across, it’s a good graph  Pie charts show how whole divides into shares o Make sure numbers add up to 1  Frequencies never go in pie charts  Pie charts take Nominal data ONLY

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