A study on optimizing revenue from a website considered dividing customers into two groups based on a value of between 0 and 1, where z measures the proportion of the total bandwidth requested by a customer. Customers with a request less than z were considered low revenue, and those aboveェhigh revenue.
The expected revenue from the low revenue customers was described by

R(x) = Cx(1-e -kx),

where C and k are positive constants based on attrbutes of the website and the customers.

(a) Find R'(x) and use it to find for what values of x in (0, 1).

(b) Find R"(x) and use it to find the point of diminishing returns. Also, state the intervals of concavity.

the 1st digit is in the 100s n its 1

step-by-step explanation:

3,589÷18 = 199.389

so the first digit of the quotient is in the 100s n its 1

hello,

b) 62.47% of the students are between 14 and 18 years old.

step-by-step explanation:

mean = 15 and standard deviation = 2

student between 14 to 18

formula used z-score

for age 14 , z score

using z-table , p(z> -0.5)=0.3085

for age 18 , z score

using z-table , p(z< 1.5)=0.9332

p(-0.5< z< 1.5)=0.9332-0.3085 = 0.6247

thus, 62.47% of the students are between 14 and 18 years old.

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well what did you do it matters what you did : )

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