The normal distribution is the most widely known and used of all distributions Because the and intelligence are approximately normally distributed;
For example, we might say that the scores on an exam are (approximately) normally distributed, even though the scores are discrete 2 There are actually many
Describe the standard Normal distribution ? Perform Normal calculations Approximately 95 of the population has IQ scores between 70 and 130
It is a very useful curve in statistics because many attributes, when a large number of measurements are taken, are approximately distributed in this pattern
approximately normally distributed with a mean of 72 4 degrees (F) and a standard deviation of 2 6 degrees (F) Q1] Sketch the normal curve by hand here
Section 2 2 Notes - Almost Done The distribution of heights of women aged 20 to 29 is approximately Normal with mean 64 inches and standard deviation 2 7
Scores on the GMAT are roughly normally distributed with a mean of 527 and a standard deviation of 112 What is the probability of an individual scoring
themselves roughly normally distributed and they seem to be zeroing in on the true value of 2 917 ?But let's look more closely: for sample sizes between 2 and
identically distributed random variables is approximately Normal: The Normal distribution has two parameters, the mean, µ, and the variance, ?2
ACT scores are distributed nearly normally with mean 21 and standard deviation 5 A college admissions officer wants to determine which of the two applicants
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Normal Probabilities Practice Problems Solution
Courtney Sykes Normal Probabilites Practice Solution.doc
1. Most graduate schools of business require applicants for admission to take the Graduate Management
Admission Council"s GMAT examination. Scores on the GMAT are roughly normally distributed with a
mean of 527 and a standard deviation of 112. What is the probability of an individual scoring above 500 on
the GMAT?
Normal Distribution 24107.0112
527500Z-=-=
m = 527 s = 112 Pr{X > 500} = Pr{Z > -0.24} = 1 - 0.4052 = 0.5948
2. How high must an individual score on the GMAT in order to score in the highest 5%?
Normal Distribution
m = 527 s = 112
P(X > ?) = 0.05 ? P(Z > ?) = 0.05
P(Z < ?) = 1 - 0.05 = 0.95 ? Z = 1.645
X = 527 + 1.645(112)
X = 527 + 184.24
X = 711.24
3. The length of human pregnancies from conception to birth approximates a normal distribution with a mean
of 266 days and a standard deviation of 16 days. What proportion of all pregnancies will last between 240
and 270 days (roughly between 8 and 9 months)?
Normal Distribution 625.116
266240Z-=-=
m = 266
25.016
266270Z=-=
s = 16
P(240 < X < 270) = P(-1.63 < Z < 0.25)
P(-1.63 < Z < 0.25) = P(Z< 0.25) - P(Z < -1.63)
P(-1.63 < Z < 0.25) = 0.5987 - 0.0516 = 0.5471
4. What length of time marks the shortest 70% of all pregnancies?
Normal Distribution
m = 266 s = 16 P(X < ?) = 0.70 ? P(Z < ?) = 0.70 ? Z = 0.52
X = 266 + 0.52(16)
X = 266 + 8.32
X = 274.32
500 527 X
-0.24 0 Z
1-0.4052=
0.5948 0.4052
527 ? X
0 1.645 Z 0.05
1-0.05=
0.95 266 ? X
0 0.52 Z 0.70 240 266 270 X
-1.63 0 0.25 Z
0.5987
0.0516
Normal Probabilities Practice Problems Solution
Courtney Sykes Normal Probabilites Practice Solution.doc
5. The average number of acres burned by forest and range fires in a large New Mexico county is 4,300 acres
per year, with a standard deviation of 750 acres. The distribution of the number of acres burned is normal.
What is the probability that between 2,500 and 4,200 acres will be burned in any given year?
Normal Distribution 40.2750
43002500Z-=-=
m = 4300
13333.0750
43004200Z-=-=
s = 750
P(2500 < X < 4200) = P(-2.40 < Z < -0.13)
P(-2.40 < Z < -0.13) = P(Z < -0.13) - P(Z < -2.40)
P(-2.40 < Z < -0.13) = 0.4483 - 0.0082 = 0.4401
6. What number of burnt acres corresponds to the 38
th percentile?
Normal Distribution
m = 4300 s = 750 P(X < ?) = 0.38 ? P(Z < ?) = 0.38 ? Z = -0.31
X = 4300 + (-0.31)(750)
X = 4300 - 232.5
X = 4067.5
7. The Edwards"s Theater chain has studied its movie customers to determine how much money they spend on
concessions. The study revealed that the spending distribution is approximately normally distributed with a
mean of $4.11 and a standard deviation of $1.37. What percentage of customers will spend less than $3.00
on concessions?
Normal Distribution 81021.037.1
11.400.3Z-=-=
m = 4.11 s = 1.37
P(X < 3.00) = P(Z < -0.81) = 0.2090 ? 20.9%
8. What spending amount corresponds to the top 87
th percentile?
Normal Distribution
m = 4.11 s = 1.37
P(X > ?) = 0.87 ? P(Z > ?) = 0.87
P(Z > ?) = 0.87 ? P(Z < ?) = 1 - 0.87 = 0.13 ? Z = -1.13
X = 4.11 + (-1.13)(1.37)
X = 4.11 - 1.5481
X = 2.5619
X = $2.56
? 4300 X -0.31 0 Z 0.38 3 4.11 X -0.81 0 Z
0.2090
? 4.11 X -1.13 0 Z
0.87 1-0.87=
0.13 2500 4200 4300 X
-2.40 -0.13 0 Z
0.0082
0.4483