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The test scores for the analytical writing section of a particular standardized test can be approximated by a normal​ distribution, as shown in the figure.   ​(a) What is the maximum score that can be in the bottom 10​% of​ scores? ​(b) Between what two values does the middle 80​% of scores​ lie?               3.861.6Score μ=3.8 σ=0.94 x         A normal curve labeled mu = 3.8 and sigma = 0.94 is over a horizontal x-axis labeled score from 1.6 to 6 in increments of 1.1 and is centered on 3.8.

The test scores for the analytical writing section of a particular standardized test can be approximated by a normal​ distribution, as shown in the figure.   ​(a) What is the maximum score that can be in the bottom 10​% of​ scores? ​(b) Between what two values does the middle 80​% of scores​ lie?               3.861.6Score μ=3.8 σ=0.94 x         A normal curve labeled mu = 3.8 and sigma = 0.94 is over a horizontal x-axis labeled score from 1.6 to 6 in increments of 1.1 and is centered on 3.8.

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter2: Exponential, Logarithmic, And Trigonometric Functions
Section2.CR: Chapter 2 Review
Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...
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The test scores for the analytical writing section of a particular standardized test can be approximated by a normal​ distribution, as shown in the figure.
 
​(a) What is the maximum score that can be in the bottom
10​%
of​ scores?
​(b) Between what two values does the middle
80​%
of scores​ lie?
 
 
 
 
 
 
 
3.861.6Score
μ=3.8
σ=0.94
x
 
  •  
  •  
  •  
A normal curve labeled mu = 3.8 and sigma = 0.94 is over a horizontal x-axis labeled score from 1.6 to 6 in increments of 1.1 and is centered on 3.8.
 
 
 

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Part 1
​(a) The maximum score that can be in the bottom
10​%
is
enter your response here.
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