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Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of...

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Introduction to Stats Honors Analysis
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Page 1: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Introduction to StatsHonors Analysis

Page 2: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Data Analysis

• Individuals: Objects described by a set of data. (Ex: People, animals, things)

• Variable: Any characteristic of an individual. Can take different values for different individuals.

• Categorical Variable: Places individual into one of several groups or categories.

• Quantitative Variable: Numerical data (for which it makes sense to make mathematical calculations)

Page 3: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Frequency Table

Titanic Passengers By Ticket Class

Page 4: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Relative Frequency Table (percents)

Titanic Passengers By Ticket Class

Page 5: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

BAR CHART

People on the Titanic (By Ticket Class)

Page 7: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

What’s Wrong With This Graph?

Page 8: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

What’s Wrong With This Graph?

Page 9: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Two-Way Tables (Contingency Tables)

• Compares two kinds of data (in this case, survival and ticket class)

Page 10: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Marginal Distributions

Page 11: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Conditional Distributions

• Calculate row or column percentages

Page 12: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Conditional Distributions

• Calculate row or column percentages

Page 13: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Segmented Bar Chart

Survival By Class

Page 14: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Comparative Bar Chart

Ideal Distance from College to Home

Why is this not an ideal display???

Page 15: Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.

Comparative Bar Chart

Ideal Distance from College to Home

Why is this a better display?


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