Answer:
Total Cost, C=$(16S +56)
Step-by-step explanation:
Chris buys 8 more Ninja Turtles than Star Wars action figures.
Cost of each Ninja Turtle = $7
Cost of each Star Wars = $9
Let number of Star Wars bought = S
As per question statement, number of Ninja Turtles bought = S+8
Cost of 'S' number of Star Wars = Number of Star Wars bought 
cost of each Star Wars
Total cost of Star Wars bought = S 9 or $9S
Similarly, Cost of 'S+8' number of Ninja Turtles = Number of Ninja Turtles bought cost of each Ninja Turtles
Total cost of Ninja Turtles bought = (S+8) 7 or $(7S +56)
Total Cost of the purchase = Total cost of Star Wars Bought + Total cost of Ninja Turtles bought
Total Cost of the purchase, C = 9S + (7S +56)
Reduce the fraction using 3
13/15+1/8
13/15=1/5
1/5+1/8
8+5/40
fraction response: 13/40
answer in decimal numbers: 0.325
Answer:
Explanation:
The table that shows the pattern for this question is:
Time (year) Population
0 40
1 62
2 96
3 149
4 231
A growing exponentially pattern may be modeled by a function of the form P(x) = P₀(r)ˣ.
Where P₀ represents the initial population (year = 0), r represents the multiplicative growing rate, and P(x0 represents the population at the year x.
Thus you must find both P₀ and r.
<u>1) P₀ </u>
Using the first term of the sequence (0, 40) you get:
P(0) = 40 = P₀ (r)⁰ = P₀ (1) = P₀
Then, P₀ = 40
<u> 2) r</u>
Take two consecutive terms of the sequence:
- P(1) / P(0) = 40r / 40 = 62/40
You can verify that, for any other two consecutive terms you get the same result: 96/62 ≈ 149/96 ≈ 231/149 ≈ 1.55
<u>3) Model</u>
Thus, your model is P(x) = 40(1.55)ˣ
<u> 4) Population of moose after 12 years</u>
- P(12) = 40 (1.55)¹² ≈ 7,692.019 ≈ 7,692, which is round to the nearest whole number.
I believe the answer is 24 times
hope this helps!
Answer:
The probability that the page will get at least one hit during any given minute is 0.9093.
Step-by-step explanation:
Let <em>X</em> = number of hits a web page receives per minute.
The random variable <em>X</em> follows a Poisson distribution with parameter,
<em>λ</em> = 2.4.
The probability function of a Poisson distribution is:
Compute the probability that the page will get at least one hit during any given minute as follows:
P (X ≥ 1) = 1 - P (X < 1)
= 1 - P (X = 0)
Thus, the probability that the page will get at least one hit during any given minute is 0.9093.
