The standard error of the sample mean is approximately
0.66 degrees Fahrenheit.
Explanation:
First, we need to calculate the sample mean:
(64.5 + 64 + 66.5 + 64 + 62.5 + 61 + 63) / 7 = 63.5
Next, we need to calculate the standard deviation of the sample:
Step 1: Calculate the variance
- Calculate the difference between each temperature reading and the sample mean:
64.5 - 63.5 = 1
64 - 63.5 = 0.5
66.5 - 63.5 = 3
64 - 63.5 = 0.5
62.5 - 63.5 = -1
61 - 63.5 = -2.5
63 - 63.5 = -0.5
- Square each difference:
1^2 = 1
0.5^2 = 0.25
3^2 = 9
0.5^2 = 0.25
(-1)^2 = 1
(-2.5)^2 = 6.25
(-0.5)^2 = 0.25
- Add up the squared differences:
1 + 0.25 + 9 + 0.25 + 1 + 6.25 + 0.25 = 18.25
- Divide by the sample size (n-1):
18.25 / 6 = 3.04
Step 2: Calculate the standard deviation
- Take the square root of the variance:
√3.04 ≈ 1.74
Finally, we can calculate the standard error of the sample mean by dividing the standard deviation by the square root of the sample size:
1.74 / √7 ≈ 0.66