Suppose the distribution of scores of 1000 students who take a standardized intelligence test is a normal distribution. Also suppose that the distributions mean is 450 and it’s standard deviation is 35. A) how many scores do we expect to fall between 345 and 555? B) how many scores do we expect to fall below 345? (Round to the nearest whole number as needed) 
Suppose the distribution of scores of 1000 students who take a standardized intelligence test is a normal distribution. Also suppose that the distributions mean is 450 and it’s standard deviation is 35. A) how many scores do we expect to fall between 345 and 555? B) how many scores do we expect to fall below 345? (Round to the nearest whole number as needed) 
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Suppose the distribution of scores of 1000 students who take a standardized intelligence test is a normal distribution . Also suppose that the distributions mean is 450 and it’s standard deviation is 35.
A) how many scores do we expect to fall between 345 and 555?
B) how many scores do we expect to fall below 345?
(Round to the nearest whole number as needed) 
![Section 14.4- The Normal Distribution
The normal distribution (normal curve) is a way to study data using the information you
.ave learned about. A normal distribution is a bell shaped curve that is symmetric with
respect to the mean. A normal distribution usually applies to a whole population, not a
sample, therefore the mean is now called u (mu).)
34%
34%
8
115
✓
2.35%
-30
-35D
13.5%
-20
-10
-250-150
m
68%
95%
99.7%
13.5%
+10
SD
+20
2.35%
+30
SD](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe9a58c44-72c1-4b54-8eb0-5f72178f02be%2F3ee69987-15a1-42d7-87d2-21b7d352d40b%2F2e4tkn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Section 14.4- The Normal Distribution
The normal distribution (normal curve) is a way to study data using the information you
.ave learned about. A normal distribution is a bell shaped curve that is symmetric with
respect to the mean. A normal distribution usually applies to a whole population, not a
sample, therefore the mean is now called u (mu).)
34%
34%
8
115
✓
2.35%
-30
-35D
13.5%
-20
-10
-250-150
m
68%
95%
99.7%
13.5%
+10
SD
+20
2.35%
+30
SD
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