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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Note the margin of error that they calculated. You will use that value in another context.

As another election cycle begins this fall, you will likely hear newscasters state poll data and then mention the margin of error. For example:

"Polls show that among likely voters in the Make-Believetown Governor’s race, Bad Wolf is currently leading with 43% of expected votes, Little Pig has 41%, and 16% are undecided. The poll has a margin of error of 4%.”

  • Instead of the 4% margin of error currently in the example, use the margin of error from your classmate as the new margin of error% for the poll.
  • Write a brief paragraph explaining who you believe will be the next imaginary governor of Make Believetown and why. Use the information you know about the margin of error to make your case. 
    1. I chose to use random numbers to represent the weight of middle schoolers' backpacks.

    My margin of error is 2.65

### Educational Statistics Spreadsheet

**Data Records:**
The following dataset consists of a series of numerical values:

- 30
- 23
- 12
- 6
- 5
- 27
- 19
- 19
- 2
- 30
- 28
- 20
- 14
- 15
- 6
- 30
- 23
- 16
- 12
- 10
- 19
- 17
- 19
- 16
- 15
- 14
- 16
- 19
- 18
- 22

**Statistical Analysis:**

1. **Mean (Average):** 17.4
2. **Standard Deviation:** 7.402

These statistical values provide insights into the central tendency and variability of the dataset.

- The **Mean** is calculated as the average of all the numerical values present in the dataset.
- The **Standard Deviation** quantifies the amount of variation or dispersion in the dataset from the mean.

### Explanation of Statistical Terms:

- **Mean (Average):** This is the sum of all values divided by the number of values. It provides the central value for the dataset.
- **Standard Deviation:** This measures the dispersion of the dataset relative to its mean. A higher standard deviation indicates that the values are spread out over a wider range, while a lower standard deviation indicates that the values are closer to the mean.

Understanding these statistical measures is crucial for analyzing data trends and making informed decisions based on data.
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Transcribed Image Text:### Educational Statistics Spreadsheet **Data Records:** The following dataset consists of a series of numerical values: - 30 - 23 - 12 - 6 - 5 - 27 - 19 - 19 - 2 - 30 - 28 - 20 - 14 - 15 - 6 - 30 - 23 - 16 - 12 - 10 - 19 - 17 - 19 - 16 - 15 - 14 - 16 - 19 - 18 - 22 **Statistical Analysis:** 1. **Mean (Average):** 17.4 2. **Standard Deviation:** 7.402 These statistical values provide insights into the central tendency and variability of the dataset. - The **Mean** is calculated as the average of all the numerical values present in the dataset. - The **Standard Deviation** quantifies the amount of variation or dispersion in the dataset from the mean. ### Explanation of Statistical Terms: - **Mean (Average):** This is the sum of all values divided by the number of values. It provides the central value for the dataset. - **Standard Deviation:** This measures the dispersion of the dataset relative to its mean. A higher standard deviation indicates that the values are spread out over a wider range, while a lower standard deviation indicates that the values are closer to the mean. Understanding these statistical measures is crucial for analyzing data trends and making informed decisions based on data.
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