To find the difference between the mean of the sample and the mean of the population, we first need to calculate both means.
1. Calculate the mean of the population:
Population data: 4, 5, 3, 1, 3, 2, 2, 3, 5, 7, 3, 6, 3, 0, 1, 5, 0, 4, 3, 6
Sum of population data = 4 + 5 + 3 + 1 + 3 + 2 + 2 + 3 + 5 + 7 + 3 + 6 + 3 + 0 + 1 + 5 + 0 + 4 + 3 + 6 = 66
Number of data points in the population = 20
Mean of the population = Sum of population data / Number of data points = 66 / 20 = 3.3
2. Calculate the mean of the sample:
Sample data: 5, 4, 6, 2, 1
Sum of sample data = 5 + 4 + 6 + 2 + 1 = 18
Number of data points in the sample = 5
Mean of the sample = Sum of sample data / Number of data points = 18 / 5 = 3.6
3. Calculate the difference between the mean of the sample and the mean of the population:
Difference = Mean of the sample - Mean of the population = 3.6 - 3.3 = 0.3
Thus, the difference between the mean of the sample and the mean of the population is 0.3.
So the answer is 0.3.