To Notes
Practice Problems: Area under the Normal Curve
Practice Problems
For these problems use the
normal tables
on the Documents Page. There are two tables, one for negative z-values
and one for positive z-values.
In the answers below, the phrase "area of [a,b]" is short for "area
under the normal curve for the bin [a,b]."
- For a normal histogram with center 0 and spread 1, what proportion of
observations are in the specified bin?
a. (-∞, -2.00] Ans: 0.0288
b. (-∞, -3.00] Ans: 0.0013
c. (-∞, 0.00] Ans: 0.5000
d. (-∞, 1.00] Ans: 0.8413
e. (-∞, 3.00] Ans: 0.9987
f. (-∞, 1.64] Ans: 0.9495
g. (-∞, -0.72] Ans: 0.2358
h. (-∞, ∞) Ans: 1.000
i. [2.87, ∞) = 1 - area of (-∞, 2.87] = 1 - 0.9972 = 0.0027
j. [0.78, ∞) = 1 - area of (-∞, -0.78] = 1 - 0.2177 = 0.7823
k. [-1.12, ∞) = 1 - area of (-∞, -1.12] = 1 - 0.1214 = 0.8786
l. [-0.04, ∞) = 1 - area of (-∞, -0.04] = 1 - 0.4880 = 0.5120
m. [-1.00, 1.00] = area of (-∞, 1.00] - area of (-∞, -1.00] = 0.8413 - 0.1587 = 0.6826
n. [-2.00, 2.00] = area of (-∞, 2.00] - area of (-∞, -2.00] = 0.9772 - 0.0228 = 0.9544
o. [-3.00, 3.00] = area of (-∞, 3.00] - area of (-∞, -3.00] = 0.9987 - 0.0013 = 0.9974
p. [-3.49, 3.49] = area of (-∞, 3.49] - area of (-∞, -3.49] = 0.9998 - 0.0002 = 0.9996
q. [-1.54, 2.45] = area of (-∞, 2.45] - area of (-∞, -1.54] = 0.9946 - 0.0618 = 0.9828
r. [0.23, 2.09] = area of (-∞, 2.09] - area of (-∞, 0.23] = 0.9817 - 0.5910 = 0.3907
s. [-0.95, 1.37] = area of (-∞, 1.37] - area of (-∞, -0.95] = 0.9147 - 0.1711 = 0.7436
t. [-3.32, -3.09] = area of (-∞, -3.09] - area of (-∞, -3.32] = 0.0010 - 0.0005 = 0.0005
- For intervals of the form (-∞, z], which values of z give the following
proportion of observations in that interval?
a. 0.138 Ans: (-∞, -1.09]
b. 0.376 Ans: (-∞, -0.31]
c. 0.500 Ans: (-∞, 0.00]
d. 0.652 Ans: (-∞, 0.39]
e. 0.998 Ans: (-∞, 2.88]
- For intervals of the form [z, ∞), which values of z give the
the following proportions?
a. 0.007 Ans: area of [-∞, 2.46] = 1 - 0.007 = 0.993, so area of
[2.46, ∞) = 1 - 0.993 = 0.007.
b. 0.287 Ans: area of [-∞, 0.56] = 1 - 0.287 = 0.713, so area of
[0.56, ∞) = 1 - 0.713 = 0.287.
c. 0.701 Ans: area of [-∞, -1.97] = 1 - 0.701 = 0.309, so area of
[-1.97, ∞) = 1 - 0.309 = 0.701.
d. 0.998 Ans: area of [-∞, -3.49] = 1 - 0.998 = 0.002, so area of
[-3.49, ∞) = 1 - 0.002 = 0.998.
- For bins of the form [-z, z], which values of z give the
the following proportions?
a. 0.137
Ans: If area of [-z, z] = 0.137, then area of
(-∞, -z] and [z, -∞) together is 1 - 0.0137 = 0.9863. Also
area of (-∞, -z] = area of [z, ∞), so area of (-∞, -z] =
0.9863 / 2 = 0.4931. Therefore z = 0.02.
b. 0.379
Ans: By the same reasoning as Part a, if the area of [-z, z] is 0.379,
the area of (-∞, -z] = (1 - 0.379) / 2 = 0.3105, so z = 0.52.
c. 0.652
Ans: By the same reasoning as Part a, if the area of [-z, z] is 0.652,
the area of (-∞, -z] = (1 - 0.652) / 2 = 0.174, so z = 0.92.
d. 0.992
Ans: By the same reasoning as Part a, if the area of [-z, z] is 0.992,
the area of (-∞, -z] = (1 - 0.992) / 2 = 0.004, so z = 3.38
- For a population of giraffes, the heights are measured.
The sample mean is 16.5 ft; the sample standard deviation is 3.8.
What percentage of giraffes are taller than 20 ft.
Ans: μ = 16.5, σ = 3.8, x = 20. Then
z = (x - μ) / σ = (20 - 16.5) / 3.8 = 0.92.
Look up 0.92 in the standard normal table: 0.8212 = 82%.
- What is the 93rd percentile of height for the giraffes in Practice Problem 2?
Ans: Look up 0.93 in the body of the standard normal table:
z = 1.48. Then solve for x = z * σ + μ = 1.48 * 3.8 + 16.5
= 22.1 feet.
- For a standard normal curve, where are Q1 and Q3 located?
Ans: We want the area of [-z, z] to be 0.5000, so the area of
(-∞, -z] = (1 - 0.5000) / 2 = 0.25. This means that z = 0.67;
Q1 = -0.67, Q3 = 0.67. IQR = 0.67 - (-0.67) = 1.34
- For a standard normal curve, how far from the center must an observation
be to be called a mild outlier?
Ans: The inner fence above Q3 is at Q3 + 1.5 * IQR = 0.67 + 2.01 = 2.68.
The inner fence below Q1 is at -Q1 - 1.5 * IQR = -0.67 - 1.5 * 2.68 = -2.68.
- Use the result of Problem 5 to predict the percentage of mild
outliers in a standard normal dataset.
Ans: The area of (-∞, -2.68] = 0.00368 = area of
[2.68, ∞), so the proportion of mild outliers is 2 * 0.00368 = 0.00736 =
0.7%.
- The heights of a population of 100,000 men are normally distributed
with a mean of 68 inches with SD = 3. About how
many men have heights
- below 65 inches?
- above 74 inches?
- between 62 and 74 inches?
- IQ scores are normally distributed with mean 100 and
standard deviation 15. Find the IQ scores that correspond to these
percentiles:
a. 50 Ans: 100
b. 85 Ans: area of (-∞, z] = 0.85, so z = 1.04. This means
that the IQ score is 1.04 SDs above average: the IQ score is
100 + 1.04 * 15 = 115.6
c. 95 Ans: area of (-∞, z] = 0.95, so z = 1.64. This means
that the IQ score is 1.64 SDs above average: the IQ score is
100 + 1.64 * 15 = 126.6
d. 99.9 Ans: area of (-∞, z] = 0.999, so z = 3.08. This means
that the IQ score is 3.08 SDs above average: the IQ score is
100 + 3.08 * 15 = 146.2