Extreme Negative z -Scores For each question, find the area to the right of the given z- score in a standard Normal distribution . In this question, round your answers to the nearest 0.000. Include an appropriately labeled sketch of the N 0 , 1 curve. a. z = − 4.00 b. z = 8.00 c. z = − 30.00 d. If you had the exact probability for these right proportions, which would be the largest and which would be the smallest? e. Which is equal to the area in part b: the area below (to the left of) z = 8.00 or the area above (to the right of ) z=8.00?
Extreme Negative z -Scores For each question, find the area to the right of the given z- score in a standard Normal distribution . In this question, round your answers to the nearest 0.000. Include an appropriately labeled sketch of the N 0 , 1 curve. a. z = − 4.00 b. z = 8.00 c. z = − 30.00 d. If you had the exact probability for these right proportions, which would be the largest and which would be the smallest? e. Which is equal to the area in part b: the area below (to the left of) z = 8.00 or the area above (to the right of ) z=8.00?
Extreme Negative z-Scores For each question, find the area to the right of the given z-score in a standard Normal distribution. In this question, round your answers to the nearest 0.000. Include an appropriately labeled sketch of the
N
0
,
1
curve.
a.
z
=
−
4.00
b.
z
=
8.00
c.
z
=
−
30.00
d. If you had the exactprobability for these right proportions, which would be the largest and
which would be the smallest?
e. Which is equal to the area in part b: the area below (to the left of)
z
=
8.00
or the area above
(to the right of ) z=8.00?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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