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Zina [86]
2 years ago
15

Jonah stacks balls of yarn in a square pyramid for a store display. The number of balls of yarn, P(n), in "n" layers of a square

pyramid is given by
P(n)=P(n-1)=n^2 what number could not be the number of balls Jonah stacks.

A.14
B.24
C.5
D.30
Mathematics
2 answers:
erastovalidia [21]2 years ago
8 0

Answer: The answer is B:24. Have A Nice Day

Step-by-step explanation:

GenaCL600 [577]2 years ago
7 0
P(1) = 1\\\\P(2)=P(1)+2^2=1+2^2=1+4=5\\\\P(3)=P(2)+3^2=5+3^2=5+9=14\\\\P(4)=P(3)+4^2=14+4^2=14+16=30

Correct answer is B. 24
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Suppose that the probability density function for the length x in feet of some type of fish caught by sport fishermen is given b
Firdavs [7]

Answer:

The probability that a fish caught by a fisherman is between 0.25 feet and 2 feet long is 0.4375.

Step-by-step explanation:

The probability density function or p.d.f. for the length <em>x,</em> in feet, of some type of fish caught by sport fishermen is :

p(x) = \left \{{{(\frac{1}{4})\ ;\  0\leq x\leq 4 } \atop{0\ ;\ otherwise} \right.

The probability that a fish caught by a fisherman is between 0.25 feet and 2 feet long is:

P(0.25\leq X\leq 2)=\int\limits^{0.25}_{2} {(\frac{1}{4})} \, dx \\=|(\frac{1}{4})x|^{2}_{0.25}\\=(\frac{1}{4})(2-0.25)\\=0.4375

Thus, the probability that a fish caught by a fisherman is between 0.25 feet and 2 feet long is 0.4375.

8 0
2 years ago
The product of 18 and a number is 109.8
timama [110]

Answer:

6.1!

Step-by-step explanation:

The product means you multiply, so you should divide 109.8 by 18.  That will get you 6.1 as the answer.

8 0
2 years ago
Read 2 more answers
Darcy ordered 18 boxes of red balloons and 12 boxes of blue balloons for a party.She ordered a total of 240 balloons. How many b
olga2289 [7]
Answer: 8 balloons per box
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8 0
2 years ago
Inquiries arrive at a record message device according to a Poisson process of rate 15 inquiries per minute. The probability that
zloy xaker [14]

Answer:

0.0498 = 4.98%

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given time interval.

Inquiries arrive at a record message device according to a Poisson process of rate 15 inquiries per minute.

Each minute has 60 seconds.

So a rate of 1 inquire each 4 seconds.

The probability that it takes more than 12 seconds for the first inquiry to arrive is approximately

Mean of 1 inquire each 4 seconds, so for 12 seconds \mu = \frac{12}{4} = 3

This probability is P(X = 0).

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-3}*3^{0}}{(0)!} = 0.0498

5 0
2 years ago
A scientific hypothesis has two important qualities. The first is that it is testable. What is the second?
Ronch [10]
It must be testable and it must be falsifiable
4 0
2 years ago
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