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Lerok [7]
3 years ago
6

The heights of young women aged 20 to 29 follow approximately the N(64, 2.7) distribution. Young men the same age have heights d

istributed as N(69.3, 2.8). What percent of young men are shorter than the shortest among the tallest 25% of young women?
Mathematics
1 answer:
murzikaleks [220]3 years ago
4 0

Answer: 10.703%

Step-by-step explanation:

Let minimum height of the tallest 25% of young women be M.

Let Q be the random variable which denotes the height of young women.

Therefore, Q – N(64,2.70)

Now, P(Q˂M) = 1-0.25

i.e. P[(Q-64)/2.7 ˂ (M-64)/2.7] = 0.75

I.e. ф-1 [(M-64)/2.7] = 0.75 i.e. (M-64)/2.7 = ф-1 (0.75) = 0.675 i.e. M = 65.8198 inches

Let R be the random variable denoting the height of young men

Therefore, R – N (69.3, 2.8)

i.e. (R-69.3)/2.8 – N(0,1)

therefore the probability required = P(R ˂65.8198) = P[(R-69.3)/2.8 ˂ (65.8198 – 69.3)/2.8]

this gives P[(R-69.3)/2.8 ˂] = ф (-1.2429) = 0.107033

From this, the percentage of young men shorter than the shortest amongst the tallest 25% of young women is 10.703%

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The sum of interior angles of a 20 sided polygon is as follows:

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Step-by-step explanation:

a. People may have a career following their passion, but have a low income or a long commute.

sometimes people can get jobs based on their passion but might still have low income and a long commute.

b. A working spouse could affect all three variables.

Yea a working spouse considers the income rate, job satisfaction and commute time involved in a job because it can affect their daily lives.

c. People might be very satisfied with their career as long as the income is high.

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