John first needs to convert these weights in oz to weight in grams by using the conversion weight given
python 1 = 1.13oz = 1.13*28.35 = 32.04 grams
python 2 = 1.02oz = 1.02*28.35 = 28.92 grams
python 3= 1.23oz = 1.23*28.35 = 34.87 grams
python 4 = 1.06oz = 1.06*28.35 = 30.05 grams
python 5 = 1.16oz = 1.16*28.35 = 32.89 grams
Mean of John's weights = sum of all weights/ number of observations = (32.04+28.92+34.87+30.05+32.89)/5 = 31.75 grams
Standard deviation
Step1: Subtract the mean from each observation and take the square
These values are : (32.04-31.75)^2 , (28.92-31.75)^2 , (34.87-31.75)^2 , (30.05-31.75)^2, (32.89-31.75)^2
These values are: 0.0841 , 8.0089, 9.7344, 2.89, 1.2996
Step 2: Sum them and divide by number of observations
This would be =(0.0841+8.0089+9.7344+2.89+1.2996)/5 = 4.4034
Step 3: Take the square root of result in step 2 to get final answer
Std. deviation =
![√(4.4034)](https://img.qammunity.org/2019/formulas/mathematics/high-school/iqruokmkdh5ak69we325f7h1b4ifetezm7.png)
Std. deviation = 2.098