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In Exercise 4.3 we saw two distributions for GRE scores: N(μ = 151,σ = 7) for the verbal part of the exam and N(μ = 153,σ = 7.67) for the quantitative part. Suppose performance on these two sections is independent. Use this information to compute each of the following:
(a) The probability of a combined (verbal + quantitative) score above 320.
(b) The score of a student who scored better than 90% of the test takers overall.
All of our textbooks are free to download: http://www.openintro.org/books
https://drive.google.com/drive/folder...
In Exercise 4.3 we saw two distributions for GRE scores: N(μ = 151,σ = 7) for the verbal part of the exam and N(μ = 153,σ = 7.67) for the quantitative part. Suppose performance on these two sections is independent. Use this information to compute each of the following:
(a) The probability of a combined (verbal + quantitative) score above 320.
(b) The score of a student who scored better than 90% of the test takers overall.
All of our textbooks are free to download: http://www.openintro.org/books
Example Exercise: 4.23 (Advanced High School Statistics) | |
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