Which of the following is a consequence of increasing variability? Group of answer choices A. The distance from one score to another tends to increase, and a single score tends to provide a more accurate representation of the entire distribution. B. The distance from one score to another tends to increase, and a single score tends to provide a less accurate representation of the entire distribution. C. The distance from one score to another tends to decrease, and a single score tends to provide a more accurate representation of the entire distribution. D. The distance from one score to another tends to decrease, and a single score tends to provide a less accurate representation of the entire distribution.

Step-by-step explanation:

The distance from one score to another tends to increase, and a single score tends to provide a less accurate representation of the entire distribution.

Consider normal distribution it has increasing trend from -Inf to the mean. But has no probability at any point. But if you consider binomial distribution then you will get the information at any integer of its range, but not all values of real line. That is you will not have information on (0,1) so there you cannot comment for increment of that distribution.

Step-by-step explanation:

Variability refers to the degree in which a set of data set spreads out or dispersed or clustered together. There are four measure of variability namely: range, interquartile range (IQR) variance and standard deviation. The consequence of increasing variability is that the distance from one score to another tends to increase, and a single score tends to provide a less accurate representation of the entire distribution.

which expression can be used to convert 80 us dollars (usd) to australian dollars (aud)?

1 usd = 1.0343 aud

1 aud = 0.9668 usd

step-by-step explanation:

sorry just need the points

d

gimmee one of those gold crowns!

~coco