Zeke oversees a website for nutritional information on fast food. During its first year, the number of times the website was visited had a net change of +55. During each subsequent month, starting in the next year, the number of visits increased by 320.He wants to find out how many visits his website will get afterx months assuming this rate continues. Zeke thinks that the website will have 7,500 visits in less than 2 years.

Which statements about this situation are true? Select ALL that apply.

The expression 320x+55 can be used to represent this situation.

The expression that can be used to represent the situation will have a positive rate of change of 55 and a constant of 320.

It will take exactly 14 months for the website to have 4,500 visits.

Zeke's website will have 2,250 visits in 6 months.

Zeke is correct in thinking that the website will have over 7,500 visits in less than 2 years.

answer: this is not a question

step-by-step explanation: this is a answer

step-by-step explanation:

i found the life tables for the year 2012. 

life table of males at age 30. probability of dying between ages x and x+1

total population:  

29–30 . . . . . . . . . . . . 0.001030

30–31 . . . . . . . . . . . . 0.001061

males:  

29–30 . . . . . . . . . . . . 0.001420

30–31 . . . . . . . . . . . . 0.001448

white population

29–30 . . . . . . . . . . . . 0.001005

30–31 . . . . . . . . . . . . 0.001037

white males

29–30 . . . . . . . . . . . . 0.001372

30–31 . . . . . . . . . . . . 0.001399

non hispanic white population

29–30 . . . . . . . . . . . . 0.001083

30–31 . . . . . . . . . . . . 0.001116

non hispanic white males

29–30 . . . . . . . . . . . . 0.001477

30–31 . . . . . . . . . . . . 0.001503

jacob, non hispanic white male. 30 years old.

probability that jacob lives to be 30 years old. 

since the given probabilities are probabilities of dying, i think we simply subtract it from 1 to get the probability of living. we will use the probability of non hispanic white male.

                                          probability of living to be 30 y.o.

29 - 30 : 1 - 0.001477 = 0.998523

30 - 31 : 1 - 0.001503 = 0.998497