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# Assessing Normality - PowerPoint PPT Presentation

Assessing Normality. When is the data Normal enough?. Use the 68-95-99.7 Rule. Plot the data and check for the shape to be……. Determine if ____ % of the data is within 1 standard deviation Determine if 95% of the data is within ___ standard deviations

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### Assessing Normality

When is the data Normal enough?

• Plot the data and check for the shape to be…….

• Determine if ____ % of the data is within 1 standard deviation

• Determine if 95% of the data is within ___ standard deviations

• Determine if ____ % of the data is within ____ standard deviations

• X-axis is the data scale

• Y-axis is the z-score scale

• All data is converted to its z-score and plotted as (data, z-score)

• Data should appear linear if it is Normal

• Symmetric = Linear

• Skewed Right = few large values, so large x-values will fall to the right of the line

• Skewed left = few small values, so small values will fall to the left of the line

Refrigerator Space

The following is a sample of 36 side-by-side refrigerators and their capacity (in cubic feet). Are the data close to Normal?

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