Math 205 Introduction to Statistical Methods. Online homework: My webpage:...

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“There are three kinds of lies: lies, damned lies, and statistics.” Mark Twain

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Math 205Introduction to Statistical

Methods

Online homework:www.webassign.com

My webpage:people.adams.edu/~rjastalos

“There are three kinds of lies:

lies, damned lies, and statistics.”Mark Twain

How to lie with statisticsDarrell Huff, 1954

How to tell the liars from the statisticians

Robert Hooke, 1983

Book Titles

“You can make statistics show anything!”

On a piece of paper: No names or identifying numbers!

1. height (inches)

On a piece of paper: No names or identifying numbers!

1. height (inches)2. eye color

On a piece of paper: No names or identifying numbers!

1. height (inches)2. eye color3. age

On a piece of paper: No names or identifying numbers!

1. height (inches)2. eye color3. age4. IQ average is 100

Einstein was probably 160 – 170pretty smart ~ 120-130

On a piece of paper: No names or identifying numbers!

1. height (inches)2. eye color3. age4. IQ average is 100

Einstein was probably 160 – 170pretty smart ~ 120-130

5. shoe size

On a piece of paper: No names or identifying numbers!

1. height (inches)2. eye color3. age4. IQ average is 100

Einstein was probably 160 – 170pretty smart ~ 120-130

5. shoe size6. gender

On a piece of paper: No names or identifying numbers!

1. height (inches)2. eye color3. age4. IQ average is 100

Einstein was probably 160 – 170pretty smart ~ 120-130

5. shoe size6. gender7. state of birth (or country, if outside U.S.)

Statistics is the science of collecting, organizing, analyzing, and interpreting data in order to make decisions.

Individuals are the people or objects included in the study

A variable is the characteristic of the individual to be measured

A quantitative variable has a value or numerical measurement for which mathematical operations make sense

A qualitative variable describes an individual by placing the individual into a category or group

Personal Data:

1. height2. eye color3. age4. IQ5. shoe size6. gender7. state of birth

In population data, the variable is measured for every individual of interest

“population” = every individual of interest

In sample data, the variable is measured for only some individuals of interest

“sample” = a subset of the population

A parameter is a numerical description of a population characteristic.

A statistic is a numerical description of a sample characteristic.

parameter population

statistic sample

A statistic is assumedto be an approximation

of a parameter.

Descriptive statistics involves methods of organizing, picturing, and summarizing information from samples or populations

Inferential statistics involves methods of using information from a sample to draw conclusions regarding the population

Probability is a basic tool of inferential statistics.

Nominal level of measurement:• Qualitative only• Categorized using names, labels, or qualities• NO mathematical computations can be made

Nominal level of measurement:• Qualitative only• Categorized using names, labels, or qualities• NO mathematical computations can be made

Ordinal level of measurement:• Qualitative or quantitative• Can be arranged in order• Differences between data entries are not meaningful

Personal Data:

1. height2. eye color3. age4. IQ5. shoe size6. gender7. state of birth

Interval level of measurement:• Quantitative • Can be ordered & subtracted• The zero is arbitrary

Interval level of measurement:• Quantitative • Can be ordered & subtracted• The zero is arbitrary

Ratio level of measurement:• Quantitative, similar to interval data• Can be ordered, subtracted, & divided• Zero really means zero!

Personal Data:

1. height2. eye color3. age4. IQ5. shoe size6. gender7. state of birth

Level of measurement

Put data in categories

Arrange data in order

Subtract data values

Determine if one value is a multiple of another

Nominal Yes No No No

Ordinal Yes Yes No No

Interval Yes Yes Yes No

Ratio Yes Yes Yes Yes

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