Asked by julian celeste
se the table to answer the question.
Value 3 4 5
Total Observations 2 3 2
Charles records the number of miles he walks every day. The chart includes how many days he walked the given number of miles for one week. Calculate the standard deviation for the number of miles he walked. Round the answer to the nearest hundredth.
(1 point)
Responses
0.76
0.76
0.45
0.45
0.82
0.82
0.67
Value 3 4 5
Total Observations 2 3 2
Charles records the number of miles he walks every day. The chart includes how many days he walked the given number of miles for one week. Calculate the standard deviation for the number of miles he walked. Round the answer to the nearest hundredth.
(1 point)
Responses
0.76
0.76
0.45
0.45
0.82
0.82
0.67
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To calculate the standard deviation for the number of miles Charles walked based on the provided data, we first need to find the mean, variance, and then take the square root of the variance.
### Data Summary
- For 3 miles: 2 days
- For 4 miles: 3 days
- For 5 miles: 2 days
### Step 1: Calculate the Mean
The formula for the mean (μ) is:
\[
\mu = \frac{\sum (x \cdot f)}{N}
\]
where:
- \( x \) is the value (miles walked)
- \( f \) is the frequency (number of days)
- \( N \) is the total number of observations
Calculating total observations (N):
\[
N = 2 + 3 + 2 = 7 \text{ days}
\]
Calculating \( \sum (x \cdot f) \):
\[
\sum (x \cdot f) = (3 \cdot 2) + (4 \cdot 3) + (5 \cdot 2) = 6 + 12 + 10 = 28
\]
Now calculate the mean:
\[
\mu = \frac{28}{7} = 4
\]
### Step 2: Calculate the Variance
The formula for variance (\( \sigma^2 \)) is:
\[
\sigma^2 = \frac{\sum f \cdot (x - \mu)^2}{N}
\]
Calculating \( (x - \mu)^2 \) for each value:
- For 3 miles:
\[
(3 - 4)^2 = (-1)^2 = 1
\]
Contribution to the variance:
\[
2 \cdot 1 = 2
\]
- For 4 miles:
\[
(4 - 4)^2 = (0)^2 = 0
\]
Contribution to the variance:
\[
3 \cdot 0 = 0
\]
- For 5 miles:
\[
(5 - 4)^2 = (1)^2 = 1
\]
Contribution to the variance:
\[
2 \cdot 1 = 2
\]
Now, summing these contributions:
\[
\sum f \cdot (x - \mu)^2 = 2 + 0 + 2 = 4
\]
Finally, calculate the variance:
\[
\sigma^2 = \frac{4}{7} \approx 0.57
\]
### Step 3: Calculate the Standard Deviation
The standard deviation (\( \sigma \)) is the square root of the variance:
\[
\sigma = \sqrt{0.57} \approx 0.76
\]
### Final Answer
The standard deviation for the number of miles he walked, rounded to the nearest hundredth, is:
**0.76**
So, the correct response is:
**0.76**
### Data Summary
- For 3 miles: 2 days
- For 4 miles: 3 days
- For 5 miles: 2 days
### Step 1: Calculate the Mean
The formula for the mean (μ) is:
\[
\mu = \frac{\sum (x \cdot f)}{N}
\]
where:
- \( x \) is the value (miles walked)
- \( f \) is the frequency (number of days)
- \( N \) is the total number of observations
Calculating total observations (N):
\[
N = 2 + 3 + 2 = 7 \text{ days}
\]
Calculating \( \sum (x \cdot f) \):
\[
\sum (x \cdot f) = (3 \cdot 2) + (4 \cdot 3) + (5 \cdot 2) = 6 + 12 + 10 = 28
\]
Now calculate the mean:
\[
\mu = \frac{28}{7} = 4
\]
### Step 2: Calculate the Variance
The formula for variance (\( \sigma^2 \)) is:
\[
\sigma^2 = \frac{\sum f \cdot (x - \mu)^2}{N}
\]
Calculating \( (x - \mu)^2 \) for each value:
- For 3 miles:
\[
(3 - 4)^2 = (-1)^2 = 1
\]
Contribution to the variance:
\[
2 \cdot 1 = 2
\]
- For 4 miles:
\[
(4 - 4)^2 = (0)^2 = 0
\]
Contribution to the variance:
\[
3 \cdot 0 = 0
\]
- For 5 miles:
\[
(5 - 4)^2 = (1)^2 = 1
\]
Contribution to the variance:
\[
2 \cdot 1 = 2
\]
Now, summing these contributions:
\[
\sum f \cdot (x - \mu)^2 = 2 + 0 + 2 = 4
\]
Finally, calculate the variance:
\[
\sigma^2 = \frac{4}{7} \approx 0.57
\]
### Step 3: Calculate the Standard Deviation
The standard deviation (\( \sigma \)) is the square root of the variance:
\[
\sigma = \sqrt{0.57} \approx 0.76
\]
### Final Answer
The standard deviation for the number of miles he walked, rounded to the nearest hundredth, is:
**0.76**
So, the correct response is:
**0.76**
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