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Anit [1.1K]
3 years ago
9

Melissa exercises for 20 minutes every day. She decides to increase her daily exercise time by 5 minutes each week. However, acc

ording to her doctor’s orders, she can spend no more than 45 minutes a day exercising. For how many weeks can Melissa increase her exercise time this way?
A at least 13 weeks
B at most 5 weeks
C at most 13 weeks
D at least 5 weeks
Mathematics
1 answer:
steposvetlana [31]3 years ago
7 0
2808 because 2700 x .04 equals this
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Is my answer for this question right?
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2. At the test center giving the exam from the previous problem, the firm needs to plan for proper staffing. Historical data sug
kozerog [31]

Answer:

a) I would use the following distribution fir the amount of applicants arriving in a 20 minute period

P_X(k) = \frac{e^{-1.5} \, * \, 1.5^k}{k!}

b) In a 50 hour period, we will expect to need 0.4679*50 = 23.3948 hours with the extra staff member

Step-by-step explanation:

a) For a total amount of arrivals in a 20 minute period i would use a Poisson distribution with parameter λ = 1.5 (the average). The distribution X is given by this formula

P_X(k) = \frac{e^{-1.5} \, * \, 1.5^k}{k!}

b) For one hour, the average will be 1.5*60/20 = 4.5 applicants. The distribution Y for the amount of applicants in one hour is given by the following formula

P_Y(k) = \frac{e^{-4.5} \, * \, 4.5^k}{k!}

First, we want to find the probability of Y being greater then or equal to 5. We can obtain the probability of the complementary event and substract it from 1. That event is equal to the probability of Y being equal to 0,1,2,3 or 4

P(Y=0) = e^{-4.5}

P(Y=1) = e^{-4.5}* 4.5

P(Y=2) = e^{-4.5} * 4.5²/2 = e^{-4.5} * 10.125

P(Y=3) = e^{-4.5} * 4.5³/6 = e^{-4.5} * 15.1875

P(Y=4) = e^{-4.5} * 4.5⁴/24 = e{-4.5} * 17.08594

Thus,

P(Y < 5) = P(Y=0)+P(Y=1)+P(Y=2)+P(Y=3)+P(Y=4) = e^{-4.5} * (1+4.5+10.125+15.1875+17.08594) = 0.5321

Therefore,

P(Y ≥ 5) = 1-0.5321 = 0.4679

In a 50 hour period, we will expect to need 0.4679*50 = 23.3948 hours with the extra staff member.

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