Standard deviation of a normal data distribution is a . Group of answer choices measure of data shape measure of data quality measure of data centrality measure of data dispersion

Standard deviation of a.noraml data distribution is a "MEASURE OF DATA DISPERSION".

Explanation: Standard deviation is used to show the variation and dispersion in a group of data. It shows how separated the data's are to each other and how each data can be related to the other.

A normal data distribution are those group of data, that are distributed in a wide range. The standard deviation helps to to measure how they are been spread out.

Standard deviation does not measure the shape, quality, and center of data. This are measured with graphs, range, mean and median.

if interdependence implies a two-way dependence, and if each partner is equally dependent on the other for success, then there is an equal commitment to the making the partnership successful. the advantage is sustainability of the relationship, the disadvantage is that decisions are "democratic" and therefore may take longer to reach and more likely to be a compromise (which is not always the best solution). as the interdependence moves away from equality, the decisions become more influenced by the more independent partner. in the extreme the relationship becomes more dictatorial and more like "master-slave". generally the relationship has less commitment in both directions and is more likely to be temporary.

if one generalizes (and one shouldn't), equity partnerships, which is probably what is implied by interdependence, can be slow to progress or change but durable. the extreme alternative, independent-dependent partnerships tend to be efficient but more fragile.

hope this but you will have to site your own evidence. : )