M2 Flashcards
[ ] consists of organizing, summarizing, and visualizing data.
Descriptive Analytics
[ ] is the state of getting dispersed or spread.
Dispersion
[ ] means the extent to which numerical data is likely to vary about an average value.
Statistical Dispersion
[ ] helps to understand the distribution of data.
Dispersion
[ ] is the measure of variability, It is the average squared deviation from the mean.
Variance
[ ] is the measure how far the data deviates from the mean value. This is also know as the square root of variance.
Standard Deviation
[ ] is used to determine how estimations for a group of observations are spread out from the mean.
Standard Deviation
[ ] is the difference between the largest and the smallest value in the data.
Range
[ ] is the difference between the observed value of a data point and the expected value.
Deviation
[ ] is the average deviation of a data point from the mean, median, or mode of the data set.
Mean Deviation or Mean Absolute Deviation (MAD)
[ ] can be abbreviated as MAD.
Mean Deviation
[ ] describes the type of the graph.
Shape
Making a decision about the probability of data is based on [ ].
its shape
[ ] can be defined as a statistical measure that describes the lack of symmetry or asymmetry in the probability distribution of a dataset.
Skewness
Add a range of cells.
SUM(range)