Question
east: 14
19
20
18
10
47
22
52
13
38
west:
305
21
6
30
5
37
15
(a) Compute the sample standard deviation for the number of breweries east of the Mississippi River. Round the answer to at least one decimal place.
The sample standard deviation for the number of breweries east of the Mississippi River is
19
20
18
10
47
22
52
13
38
west:
305
21
6
30
5
37
15
(a) Compute the sample standard deviation for the number of breweries east of the Mississippi River. Round the answer to at least one decimal place.
The sample standard deviation for the number of breweries east of the Mississippi River is
Answers
GPT-4o mini
To calculate the sample standard deviation, we first need to compute the mean of the given data set, and then find the squared differences from the mean, sum them up, divide by \(n-1\) (where \(n\) is the sample size), and finally take the square root.
Here are the steps in detail:
### Given Data:
East:
14, 19, 20, 18, 10, 47, 22, 52, 13, 38
### Step 1: Calculate the Mean
\[
\text{Mean} (\bar{x}) = \frac{\text{sum of values}}{n}
\]
Sum of values:
\[
14 + 19 + 20 + 18 + 10 + 47 + 22 + 52 + 13 + 38 = 14 + 19 + 20 + 18 + 10 + 47 + 22 + 52 + 13 + 38 = 252
\]
Number of values \(n = 10\).
Mean:
\[
\bar{x} = \frac{252}{10} = 25.2
\]
### Step 2: Calculate the Squared Differences
Now we calculate each squared difference from the mean:
\[
(14 - 25.2)^2 = (-11.2)^2 = 125.44
\]
\[
(19 - 25.2)^2 = (-6.2)^2 = 38.44
\]
\[
(20 - 25.2)^2 = (-5.2)^2 = 27.04
\]
\[
(18 - 25.2)^2 = (-7.2)^2 = 51.84
\]
\[
(10 - 25.2)^2 = (-15.2)^2 = 231.04
\]
\[
(47 - 25.2)^2 = (21.8)^2 = 475.24
\]
\[
(22 - 25.2)^2 = (-3.2)^2 = 10.24
\]
\[
(52 - 25.2)^2 = (26.8)^2 = 718.24
\]
\[
(13 - 25.2)^2 = (-12.2)^2 = 148.84
\]
\[
(38 - 25.2)^2 = (12.8)^2 = 163.84
\]
### Step 3: Sum of Squared Differences
Now we add these squared differences:
\[
125.44 + 38.44 + 27.04 + 51.84 + 231.04 + 475.24 + 10.24 + 718.24 + 148.84 + 163.84 = 1817.6
\]
### Step 4: Calculate Sample Variance
The sample variance \(s^2\) is given by:
\[
s^2 = \frac{\text{sum of squared differences}}{n - 1}
\]
\[
s^2 = \frac{1817.6}{10 - 1} = \frac{1817.6}{9} = 202.0
\]
### Step 5: Calculate Sample Standard Deviation
Finally, take the square root to find the standard deviation \(s\):
\[
s = \sqrt{202.0} \approx 14.2
\]
### Final Answer:
The sample standard deviation for the number of breweries east of the Mississippi River is approximately **14.2**.
Here are the steps in detail:
### Given Data:
East:
14, 19, 20, 18, 10, 47, 22, 52, 13, 38
### Step 1: Calculate the Mean
\[
\text{Mean} (\bar{x}) = \frac{\text{sum of values}}{n}
\]
Sum of values:
\[
14 + 19 + 20 + 18 + 10 + 47 + 22 + 52 + 13 + 38 = 14 + 19 + 20 + 18 + 10 + 47 + 22 + 52 + 13 + 38 = 252
\]
Number of values \(n = 10\).
Mean:
\[
\bar{x} = \frac{252}{10} = 25.2
\]
### Step 2: Calculate the Squared Differences
Now we calculate each squared difference from the mean:
\[
(14 - 25.2)^2 = (-11.2)^2 = 125.44
\]
\[
(19 - 25.2)^2 = (-6.2)^2 = 38.44
\]
\[
(20 - 25.2)^2 = (-5.2)^2 = 27.04
\]
\[
(18 - 25.2)^2 = (-7.2)^2 = 51.84
\]
\[
(10 - 25.2)^2 = (-15.2)^2 = 231.04
\]
\[
(47 - 25.2)^2 = (21.8)^2 = 475.24
\]
\[
(22 - 25.2)^2 = (-3.2)^2 = 10.24
\]
\[
(52 - 25.2)^2 = (26.8)^2 = 718.24
\]
\[
(13 - 25.2)^2 = (-12.2)^2 = 148.84
\]
\[
(38 - 25.2)^2 = (12.8)^2 = 163.84
\]
### Step 3: Sum of Squared Differences
Now we add these squared differences:
\[
125.44 + 38.44 + 27.04 + 51.84 + 231.04 + 475.24 + 10.24 + 718.24 + 148.84 + 163.84 = 1817.6
\]
### Step 4: Calculate Sample Variance
The sample variance \(s^2\) is given by:
\[
s^2 = \frac{\text{sum of squared differences}}{n - 1}
\]
\[
s^2 = \frac{1817.6}{10 - 1} = \frac{1817.6}{9} = 202.0
\]
### Step 5: Calculate Sample Standard Deviation
Finally, take the square root to find the standard deviation \(s\):
\[
s = \sqrt{202.0} \approx 14.2
\]
### Final Answer:
The sample standard deviation for the number of breweries east of the Mississippi River is approximately **14.2**.