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:
the mean
Step-by-step explanation:
mean is calculated average
10x+2x+13=145
angle of WIJ and HIW is equal to 145 degrees
12x+13=145
12x=132
x=11
angle of WIJ is 10x
angle of HIW is 2x+13
to find angle of HIW, you plug in x=11 into 2x+13 and
the answer and angle of HIW is 35 degrees.
P(<100) = P((new or change) & <100) = P(new & <100) + P(change & <100)
... = P(<100 | new)*P(new) + P(<100 | change)*P(change)
... = 0.90*0.70 + 0.20*0.30
... = 0.63 + 0.06 = 0.69 . . . . probability of completing a transaction in < 100 ms
f(x)=40
x=8
so if x=2 it would be 40/8 which is 5