Answer:
A <u>z-score</u> indicates how far an individual raw score falls from the mean of a distribution; the <u>standard deviation</u> indicates how the scores in general scatter around the mean.
Step-by-step explanation:
We have been given an incomplete statement. We are supposed to complete the given statement.
We know that z-score of a data set indicates that a sample score or raw score is how many standard deviation away from the mean. Z-score indicates the distance of a raw score is above or below mean in units.
Therefore, the correct word for 1st blank would be "z-score".
We also know that standard deviation represents the variation of a data set. It tells that data points of a data set are how much close or away from mean of the data set.
Therefore, the correct word for 2nd blank would be "standard deviation".
Answer:
Step-by-step explanation:
he needs to add $723 to his account. He needs $1243 in all to write his checks
The answer in B. For complicated statistics reasons the Central Limit Theorem states that, for sample sizes of above 25 (or 30 depending on the text!), the distribution of sample means is approximately normal regardless of the distribution of the parent distribution
Its 125,000 because 250 squared is 125,000 cause of math. i really dont wanna go to school and life sucks:)
Answer:
When you rotate the regular pentagon \begin{align*}72^\circ\end{align*} about its center, it will look exactly the same. This is because the regular pentagon has rotation symmetry, and \begin{align*}72^\circ\end{align*} is the minimum number of degrees you can rotate the pentagon in order to carry it onto itself.
Step-by-step explanation: