Approximate the sample mean for the following frequency distribution. Data Frequency 35-38 1 39-42 3 43-46 4 47-50 14 51-54 8 Sample mean- Report answer accurate to one decimal place. Submit Question
Approximate the sample mean for the following frequency distribution. Data Frequency 35-38 1 39-42 3 43-46 4 47-50 14 51-54 8 Sample mean- Report answer accurate to one decimal place. Submit Question
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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
Transcribed Image Text:### Approximating the Sample Mean for a Frequency Distribution
To find the sample mean from a given frequency distribution, follow these steps:
1. **Calculate the midpoint for each data interval** (also known as the class mark).
2. **Multiply each midpoint by the corresponding frequency** to obtain the products.
3. **Sum up all the products** obtained in step 2.
4. **Sum up all the frequencies**.
5. **Divide the sum of the products** by the sum of the frequencies.
Here is the given frequency distribution:
| Data | Frequency |
|--------|-----------|
| 35 - 38| 1 |
| 39 - 42| 3 |
| 43 - 46| 4 |
| 47 - 50| 14 |
| 51 - 54| 8 |
**Steps to Calculate:**
1. **Find Midpoints:**
- For 35 - 38: Midpoint = (35+38)/2 = 36.5
- For 39 - 42: Midpoint = (39+42)/2 = 40.5
- For 43 - 46: Midpoint = (43+46)/2 = 44.5
- For 47 - 50: Midpoint = (47+50)/2 = 48.5
- For 51 - 54: Midpoint = (51+54)/2 = 52.5
2. **Multiply Midpoints by Frequencies:**
- 36.5 * 1 = 36.5
- 40.5 * 3 = 121.5
- 44.5 * 4 = 178
- 48.5 * 14 = 679
- 52.5 * 8 = 420
3. **Sum of the Products:**
- 36.5 + 121.5 + 178 + 679 + 420 = 1435
4. **Sum of the Frequencies:**
- 1 + 3 + 4 + 14 + 8 = 30
5. **Calculate Sample Mean:**
- Sample Mean = Sum of the Products / Sum of the Frequencies = 1435 / 30 ≈ 47.8
### Sample Mean Calculation
**Sample mean
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