MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Determine what percentage of your data is within 2 standard deviations of the mean. (Show your calculations). How does this seem to compare with the 68-95 99.7 rule?

does this data seem to be normally distributed why or why not?

**Histogram of Weights**

**Descriptive Statistics: Weights**

**Statistics**

- **Variable**: Weights
- **N**: 30
- **Mean**: 92.37
- **SE Mean**: 5.11
- **StDev**: 28.01
- **Minimum**: 44.00
- **Q1**: 64.50
- **Median**: 96.50
- **Q3**: 114.25
- **Maximum**: 137.00

**Explanation of the Histogram**

The histogram displayed visually represents the distribution of the weights dataset. 

- **X-axis**: Displays the weights ranging from approximately 0 to 130.
- **Y-axis**: Indicates the frequency of each weight range.
- The histogram bars are yellow, showing intervals of weight grouped in categories.
- A red curve is overlaid on the histogram, likely representing a normal distribution fit for the dataset.

**Data Table**

Names and corresponding weights are listed:

- Jase Anders
- Leelin Dye
- Wes Obyrne
- Marcus Mitchell
- Kaden Dupree: 116
- Easton Gifford: 125
- Joel Ramos: 130
- Andrew Boyd: 135
- Troy Clevinger: 137

These values provide a sample representation of individual weights within the dataset.
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Transcribed Image Text:**Histogram of Weights** **Descriptive Statistics: Weights** **Statistics** - **Variable**: Weights - **N**: 30 - **Mean**: 92.37 - **SE Mean**: 5.11 - **StDev**: 28.01 - **Minimum**: 44.00 - **Q1**: 64.50 - **Median**: 96.50 - **Q3**: 114.25 - **Maximum**: 137.00 **Explanation of the Histogram** The histogram displayed visually represents the distribution of the weights dataset. - **X-axis**: Displays the weights ranging from approximately 0 to 130. - **Y-axis**: Indicates the frequency of each weight range. - The histogram bars are yellow, showing intervals of weight grouped in categories. - A red curve is overlaid on the histogram, likely representing a normal distribution fit for the dataset. **Data Table** Names and corresponding weights are listed: - Jase Anders - Leelin Dye - Wes Obyrne - Marcus Mitchell - Kaden Dupree: 116 - Easton Gifford: 125 - Joel Ramos: 130 - Andrew Boyd: 135 - Troy Clevinger: 137 These values provide a sample representation of individual weights within the dataset.
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