i.e …“the stuff from the first bit of your book that you need to know right now.”

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i.e…“The stuff from the first bit of your book that you need to know right now.” ta is information that is collecte Qualitative (attribute) data refers to non – numerical data. Intro to Probability and Statistics

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Intro to Probability and Statistics. i.e …“The stuff from the first bit of your book that you need to know right now.”. Data is information that is collected. Qualitative (attribute) data refers to non – numerical data . . - PowerPoint PPT Presentation

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Page 1: i.e …“The stuff from the first bit of your book that you need to know right now.”

i.e…“The stuff from the first bit of your book that you need to know right now.”

Data is information that is collected.

Qualitative (attribute) data refers to non – numerical data.

Intro to Probability and Statistics

Page 2: i.e …“The stuff from the first bit of your book that you need to know right now.”

Quantitative (numerical) data represents numerical observations. It falls into two classes:

Data that is counted is called discrete.

Data that is measured is called continuous.

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Descriptive statistics describes data that has been collected. 2012 US Presidential Election electoral

results (by state)

Barack Obama (50.6% popular, 61.7% electoral)Mitt Romney (47.8% popular, 38.3% electoral)

Page 4: i.e …“The stuff from the first bit of your book that you need to know right now.”

Descriptive statistics describes data that has been collected.

2012 US Presidential Election electoral results (by state, weighted by population)

Barack Obama (50.6% popular, 61.7% electoral)Mitt Romney (47.8% popular, 38.3% electoral)

Delaware – 900,000

Wyoming – 600,000

Page 5: i.e …“The stuff from the first bit of your book that you need to know right now.”

Descriptive statistics describes data that has been collected.

2012 US Presidential Election electoral results (by county)

Barack Obama (50.6% popular, 61.7% electoral)Mitt Romney (47.8% popular, 38.3% electoral)

Page 6: i.e …“The stuff from the first bit of your book that you need to know right now.”

Descriptive statistics describes data that has been collected.

2012 US Presidential Election electoral results (by county, weighted by population)

Barack Obama (50.6% popular, 61.7% electoral)Mitt Romney (47.8% popular, 38.3% electoral)

Page 7: i.e …“The stuff from the first bit of your book that you need to know right now.”

Descriptive statistics describes data that has been collected.

2012 US Presidential Election electoral results (by county, “shades of purple”)

Barack Obama (50.6% popular, 61.7% electoral)Mitt Romney (47.8% popular, 38.3% electoral)

Page 8: i.e …“The stuff from the first bit of your book that you need to know right now.”

Descriptive statistics describes data that has been collected.

2012 US Presidential Election electoral results (by county, “weighted shades of purple”)

Barack Obama (50.6% popular, 61.7% electoral)Mitt Romney (47.8% popular, 38.3% electoral)

Page 9: i.e …“The stuff from the first bit of your book that you need to know right now.”

Inferential statistics makes predictions, based on a random sample taken from a population.

Page 10: i.e …“The stuff from the first bit of your book that you need to know right now.”

Inferential statistics makes predictions, based on a random sample taken from a population.

To approximate a parameter (a measure of a population) we measure a statistic (the related

characteristic of a sample) with its corresponding margin of error.

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How should we present our data?

A company hires a statistician who samples 20 employees randomly, and records how many products each produces in

one week:

10 16 19 30 17 16 35 29 15 1821 20 26 14 18 28 30 39 19 21

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I. Frequency Distribution

Left column possible data values Broken into equally spaced classes

Right column frequency of occurrence of classes

10 16 19 30 17 16 35 29 15 1821 20 26 14 18 28 30 39 19 21

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II. Frequency Histogram

A picture of the frequency distribution

Visual Displays of Information (an introduction)

Page 16: i.e …“The stuff from the first bit of your book that you need to know right now.”

Visual Displays of Information (an introduction)

Other Types of Displays

Pareto Diagram (or Pareto Chart)

“finger”

“refused”

“dedicated”

Page 17: i.e …“The stuff from the first bit of your book that you need to know right now.”

My father was slaughtered by a six fingered man. He was a great sword maker, my father. When the six fingered

man appeared and requested a special sword, my father took the job. He slaved a year before it was done. The six fingered man returned and demanded it, but at one tenth his promised price. My father refused. Without a word,

the six fingered man slashed him through the heart. I loved my father. So naturally, I challenged his murderer to a duel. I failed. The six fingered man left me alive, but he gave me these. I was eleven years old, and when I was

strong enough, I dedicated my life to the study of fencing. So the next time we meet, I will not fail. I will go up to the

six fingered man and say, "Hello. My name is Inigo Montoya. You killed my father. Prepare to die."

Page 18: i.e …“The stuff from the first bit of your book that you need to know right now.”

Visual Displays of Information (an introduction)

Other Types of Displays

Stem and Leaf Plot (Stem Plot)

Dot Plot

Others?

Pareto Diagram (or Chart)

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One million dollars (100 of the previous packets)

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One hundred million dollars (100 of the previous stacks...on a pallet, for easy maneuverability!)

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One billion dollars (10 of the previous palleted stacks)

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One trillion dollars (make sure you see the guy over there...and the pallets are stacked two high)...

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...and here’s our national debt as of March 2009.

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Chris Jordan: Skull With Cigarette, 2007

...based on a painting by Van Gogh...

200,000 packs of cigarettes, equal to the

number of Americans who die from cigarette smoking

every six months.

www.chrisjordan.com

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Visual Displays of Information (an introduction)

One Last Thing...

How many keys do you have with you today?

(I’ll bring a histogram next time)

Homework for Intro To Probability and Statistics