What is the value of SS (sum of squared deviations) for the following population? Population: 2, 3, 0, 5

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
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**Question:**

What is the value of SS (sum of squared deviations) for the following population? 

Population: 2, 3, 0, 5

**Explanation:**

To find the sum of squared deviations (SS), you need to:

1. Calculate the mean of the population.
2. Subtract the mean from each score to find the deviation of each score.
3. Square each deviation.
4. Sum all the squared deviations.

Let's go through each step:

1. **Mean Calculation:**
   \[
   \text{Mean} = \frac{(2 + 3 + 0 + 5)}{4} = \frac{10}{4} = 2.5
   \]

2. **Deviation from Mean:**
   - For 2: \(2 - 2.5 = -0.5\)
   - For 3: \(3 - 2.5 = 0.5\)
   - For 0: \(0 - 2.5 = -2.5\)
   - For 5: \(5 - 2.5 = 2.5\)

3. **Squared Deviations:**
   - For \(-0.5\): \((-0.5)^2 = 0.25\)
   - For \(0.5\): \((0.5)^2 = 0.25\)
   - For \(-2.5\): \((-2.5)^2 = 6.25\)
   - For \(2.5\): \((2.5)^2 = 6.25\)

4. **Sum of Squared Deviations (SS):**
   \[
   \text{SS} = 0.25 + 0.25 + 6.25 + 6.25 = 13
   \]

Therefore, the value of the sum of squared deviations (SS) for this population is **13**.
Transcribed Image Text:**Question:** What is the value of SS (sum of squared deviations) for the following population? Population: 2, 3, 0, 5 **Explanation:** To find the sum of squared deviations (SS), you need to: 1. Calculate the mean of the population. 2. Subtract the mean from each score to find the deviation of each score. 3. Square each deviation. 4. Sum all the squared deviations. Let's go through each step: 1. **Mean Calculation:** \[ \text{Mean} = \frac{(2 + 3 + 0 + 5)}{4} = \frac{10}{4} = 2.5 \] 2. **Deviation from Mean:** - For 2: \(2 - 2.5 = -0.5\) - For 3: \(3 - 2.5 = 0.5\) - For 0: \(0 - 2.5 = -2.5\) - For 5: \(5 - 2.5 = 2.5\) 3. **Squared Deviations:** - For \(-0.5\): \((-0.5)^2 = 0.25\) - For \(0.5\): \((0.5)^2 = 0.25\) - For \(-2.5\): \((-2.5)^2 = 6.25\) - For \(2.5\): \((2.5)^2 = 6.25\) 4. **Sum of Squared Deviations (SS):** \[ \text{SS} = 0.25 + 0.25 + 6.25 + 6.25 = 13 \] Therefore, the value of the sum of squared deviations (SS) for this population is **13**.
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