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Find the population variance and standard deviation or the sample variance and standard deviation as indicated. $$ \text { Population: } 3,6,10,12,14 $$

Short Answer

Expert verified
Variance = 16, Standard Deviation = 4

Step by step solution

01

Calculate the Mean of the Population

First, find the mean (average) of the population values. The values are 3, 6, 10, 12, and 14. The mean is calculated by the formula: \[ \text{Mean} = \frac{\text{Sum of all values}}{\text{Number of values}} \ \text{Mean} = \frac{3 + 6 + 10 + 12 + 14}{5} = \frac{45}{5} = 9 \]
02

Calculate Each Deviation from the Mean

Subtract the mean from each value to find the deviation of each value: \[ 3 - 9 = -6, \ 6 - 9 = -3, \ 10 - 9 = 1, \ 12 - 9 = 3, \ 14 - 9 = 5 \]
03

Square Each Deviation

Square each of the deviations: \[ (-6)^2 = 36, \ (-3)^2 = 9, \ 1^2 = 1, \ 3^2 = 9, \ 5^2 = 25 \]
04

Calculate the Mean of the Squared Deviations

Find the mean of these squared deviations to get the population variance: \[ \text{Variance} = \frac{36 + 9 + 1 + 9 + 25}{5} = \frac{80}{5} = 16 \]
05

Calculate the Population Standard Deviation

To find the population standard deviation, take the square root of the variance: \[ \text{Standard Deviation} = \root 2 \/16 = 4 \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

calculate mean
To start any variance or standard deviation calculations, you first need to find the mean (average) of your dataset.
Simply, the mean is the sum of all values divided by the number of values.
The formula to calculate the mean is: \[ \text{Mean} = \frac{\text{Sum of all values}}{\text{Number of values}} \]
For example, consider the population values: 3, 6, 10, 12, and 14.
First, sum them up: \[ 3 + 6 + 10 + 12 + 14 = 45 \]
Then, divide by the number of values (which is 5): \[ \text{Mean} = \frac{45}{5} = 9 \]
So, the mean of these values is 9.
deviation from mean
Next, we move on to finding how each value differs from the mean.
These differences are called deviations.
To find the deviation of each value, subtract the mean from each value in the dataset.
Let's go through it with our dataset:
1. Calculate for 3: \[ 3 - 9 = -6 \]
2. For 6: \[ 6 - 9 = -3 \]
3. For 10: \[ 10 - 9 = 1 \]
4. For 12: \[ 12 - 9 = 3 \]
5. For 14: \[ 14 - 9 = 5 \]
So, the deviations are -6, -3, 1, 3, and 5 respectively.
These deviations tell us how far each value lies from the mean.
squared deviations
After finding the deviations, the next step is to square each of these deviations.
Why square them? To ensure all values are positive and give more weight to larger differences.
Squaring a number means multiplying it by itself.
Let's square our deviations:
1. For -6: \[ (-6)^2 = 36 \]
2. For -3: \[ (-3)^2 = 9 \]
3. For 1: \[ 1^2 = 1 \]
4. For 3: \[ 3^2 = 9 \]
5. For 5: \[ 5^2 = 25 \]
So, the squared deviations are 36, 9, 1, 9, and 25 respectively.
mean of squared deviations
Now, we need to find the average of these squared deviations.
This average is known as the variance.
Use the same process as finding the mean but with the squared deviations instead.
Sum up the squared deviations: \[ 36 + 9 + 1 + 9 + 25 = 80 \]
Then, divide by the number of values: \[ \text{Variance} = \frac{80}{5} = 16 \]
So, the variance of this population is 16.
population standard deviation
Finally, to find the population standard deviation, take the square root of the variance.
This step reverses the squaring we did earlier and returns the value to the original unit.
Use the square root function: \[ \text{Standard Deviation} = \root 2 \/16 = 4 \]
Therefore, the population standard deviation is 4.
This value tells us how spread out the values are in the population.

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