i think it means when you pay to get your child in a school
To find the deviation from the mean for each value in a dataset, first calculate the mean by summing all the values and dividing by the number of values. Then, subtract the mean from each individual value: the deviation for a value ( x_i ) is calculated as ( x_i - \text{mean} ). This will give you the deviation for each value, indicating how far each one is from the mean.
help each other be happy
per means each in an equation. e.g.:sweets per child will mean sweeta each child.
Mean welfare in micro ecomomics is grapes. (:
common welfare is when an american
"reimbursed" ... Not clear whether you mean collects welfare or collects child support, but in either case the answer is, the State will not reimburse the NCP.
The mean distance between each data value and the mean of the data set is calculated using the average of the absolute deviations from the mean. This is known as the mean absolute deviation (MAD). To find it, you subtract the mean from each data value, take the absolute value of those differences, and then average those absolute differences. It provides a measure of variability or dispersion in the data set.
Three steps:1. Find the mean of all values2. Find the distance of each value from that mean (subtract the mean from each value, ignore minus signs)3. Then find the mean of those distances
It would be a violation of the Americans With Disabilities Act, though this does not necessarily mean they won't. The safety and best interest of the child will be the deciding factors. The court will order a home study and other evaluations.
to divide
Replace each variable in the expression by its value and then find the value of the expression.
The approximate average of the squares of the distance each value is from the mean is known as the variance. It is calculated by taking the differences between each value and the mean, squaring those differences, and then averaging them. Variance provides a measure of how spread out the values are around the mean. A higher variance indicates greater dispersion in the data set.