Answer :
Sure, let's compare the mean of the population with the mean of a sample and find the difference between them.
1. The Mean of the Population:
The mean of the population is given as 22.
2. The Mean of the Sample:
The mean of the sample is provided as 18.
3. Calculate the Difference:
To find the difference between the mean of the sample and the mean of the population, we subtract the mean of the population from the mean of the sample:
[tex]\[ \text{Difference} = \text{Mean of the Sample} - \text{Mean of the Population} \][/tex]
Plugging in the given means:
[tex]\[ \text{Difference} = 18 - 22 \][/tex]
Which simplifies to:
[tex]\[ \text{Difference} = -4 \][/tex]
Therefore:
- The mean of the population is 22.
- The mean of the sample is 18.
- The difference between the mean of the sample and the mean of the population is -4.
This indicates that the mean of the sample is 4 units less than the mean of the population.
1. The Mean of the Population:
The mean of the population is given as 22.
2. The Mean of the Sample:
The mean of the sample is provided as 18.
3. Calculate the Difference:
To find the difference between the mean of the sample and the mean of the population, we subtract the mean of the population from the mean of the sample:
[tex]\[ \text{Difference} = \text{Mean of the Sample} - \text{Mean of the Population} \][/tex]
Plugging in the given means:
[tex]\[ \text{Difference} = 18 - 22 \][/tex]
Which simplifies to:
[tex]\[ \text{Difference} = -4 \][/tex]
Therefore:
- The mean of the population is 22.
- The mean of the sample is 18.
- The difference between the mean of the sample and the mean of the population is -4.
This indicates that the mean of the sample is 4 units less than the mean of the population.