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Alenkasestr [34]
3 years ago
13

What is the prime fractorization of 84

Mathematics
2 answers:
Anvisha [2.4K]3 years ago
8 0
84/2 = 42
42/2 = 21
21/3 = 7
7/7 = 1

84 = 2^2 * 3 * 7
alexira [117]3 years ago
6 0
84 = 2 x 2 x 3 x 7 which can also be written 2^2x3x7.
1x84, 2x42, 3x28, 4x21, 6x14, or 7x12.


Hope this helped :)
Have a great day 
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RUDIKE [14]

<em>l-37l=37 is the correct answer.</em>

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You flip a coin 10 times and find the experimental probability of flipping tails to be 0.7. Does this seem reasonable? Explain.
Vedmedyk [2.9K]

No. I would say 50/50 chance. This answer probably isnt helpful :/

8 0
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Please help. It’s a picture
Korolek [52]
$260

I don’t know what model/formula you are supposed to be using.

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6 0
3 years ago
Solve the percent equation. 646 is what percent of 340?
ella [17]
646 is 190% of 340

Simply do the following,

1) divide,

646 \div 340 = 1.9

2) multiply the above answer by 100

1.9 \times 100 = 190

3) dock on that percent sign,

190\%

---------------------------------------------------------

I hope that helps you out!!

Any more questions, please just ask me!!

~ Zoey
4 0
3 years ago
Let X denote the distance (m) that an animal moves from its birth site to the first territorial vacancy it encounters. Suppose t
andrezito [222]

Answer and Step-by-step explanation: For an exponential distribution, the probability distribution function is:

f(x) = λ.e^{-\lambda.x}

and the cumulative distribution function, which describes the probability distribution of a random variable X, is:

F(x) = 1 - e^{-\lambda.x}

(a) <u>Probability</u> of distance at most <u>100m</u>, with λ = 0.0143:

F(100) = 1 - e^{-0.0143.100}

F(100) = 0.76

<u>Probability</u> of distance at most <u>200</u>:

F(200) = 1 - e^{-0.0143.200}

F(200) = 0.94

<u>Probability</u> of distance between <u>100 and 200</u>:

F(100≤X≤200) = F(200) - F(100)

F(100≤X≤200) = 0.94 - 0.76

F(100≤X≤200) = 0.18

(b) The mean, E(X), of a probability distribution is calculated by:

E(X) = \frac{1}{\lambda}

E(X) = \frac{1}{0.0143}

E(X) = 69.93

The standard deviation is the square root of variance,V(X), which is calculated by:

σ = \sqrt{\frac{1}{\lambda^{2}} }

σ = \sqrt{\frac{1}{0.0143^{2}} }

σ = 69.93

<u>Distance exceeds the mean distance by more than 2σ</u>:

P(X > 69.93+2.69.93) = P(X > 209.79)

P(X > 209.79) = 1 - P(X≤209.79)

P(X > 209.79) = 1 - F(209.79)

P(X > 209.79) = 1 - (1 - e^{-0.0143*209.79})

P(X > 209.79) = 0.0503

(c) Median is a point that divides the value in half. For a probability distribution:

P(X≤m) = 0.5

\int\limits^m_0 f({x}) \, dx = 0.5

\int\limits^m_0 {\lambda.e^{-\lambda.x}} \, dx = 0.5

\lambda.\frac{e^{-\lambda.x}}{-\lambda} = -e^{-\lambda.x} + e^{0}

1 - e^{-\lambda.m} = 0.5

-e^{-\lambda.m} = - 0.5

ln(e^{-0.0143.m}) = ln(0.5)

-0.0143.m = - 0.0693

m = 48.46

6 0
4 years ago
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