AP Stats Unit 1

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Exploring One-Variable Data

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54 Terms

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Categorical Variables

Variables that represent categories instead of numerical values.

Ex: Favorite color, gender, or marital status

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Quantative Variables

Variables that represent numerical values instead of categories.

Ex: Height, class size, and population size

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Two-Way Table

Statistical table that shows the observed number or frequency for two variables.

<img src="https://knowt-user-attachments.s3.amazonaws.com/39c9655a-fe64-486a-8b96-051e2b3903f0.png" data-width="50%" data-align="center" alt=""><p>Statistical table that shows the observed number or frequency for two variables.</p><p></p>
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Marginal Relative Frequency

% of data in a single row/column compared to the total.

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Joint Relative Frequency

% of data in a single group compared to the total.

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Conditional Relative Frequency

% of data in a single category GIVEN a specific group.

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How To Describe Quantitative Data

  1. Context

  2. Shape (Symmetrical, Skewed, # of peaks?)

  3. Outliers

  4. Center (Mean/Median)

  5. Spread (Range, Standard Deviation, IQR)

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How To Make Boxplots

  1. Minimum

  2. Q1

  3. Median

  4. Q3

  5. Maximun

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IQR

Q3-Q1

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Low End Outlier

Q1-1.5(IQR)

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High End Outlier

Q3+1.5(IQR)

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Percentile

% of values less than or equal to a specific value.

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Cumulative Relative Frequency

Shows cumulative percentages from each interval up through all the data.

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When you add/subtract all data values by the same amount…

  1. Shape and variability stays the same

  2. Center moves up/down by that amount

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When you multiply/divide all data values by the same amount…

  1. Shape stays the same

  2. Center and variability get multiplied/divided by that amount

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Density Curves

  • On/above a horizontal axis

  • Has an area of 1

  • Shows probability distribution

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