Question

Which two measures use the mean as a baseline and identify the extent to which scores differ from this?

Answer 1

Answer:

Variance and standard deviation

Step-by-step explanation:

=> Variance and standard deviation use the mean as a baseline and identify the extent to which scores differ from this.

=> they both are measures of the spread of the data around the mean.

=> It summarize about the closeness between the observed data and mean value.

=> All values ​​in a small spread dataset are very close to the mean, resulting in a small variance and standard deviation. Where a dataset is more scattered, the values ​​are dispersed from the mean, making a big variance and standard deviation.

=> If 'the variance and standard deviation' is the smaller, the more the mean value is indicative of the whole dataset. Therefore, if all values of a dataset are the same, the standard deviation and variance are zero.

=> We can calculate the confidence intervals with the help of the standard deviation of a normal distribution.