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Ivenika [448]
4 years ago
10

Is this a right angle?use the Pythagorean theorem to find out!​

Mathematics
1 answer:
Komok [63]4 years ago
6 0

Answer:

Yes this is a right angle triangle

Step-by-step explanation:

h*h=p*p+b*b

5*5=4*4+3*3

25=16+9

25=25

You might be interested in
6&gt;z-4<br> PLEASE ANSWER QUICKLY
Andru [333]

Answer:

10>z

Step-by-step explanation:

add 4 to both sides

5 0
3 years ago
In which number is the value of the seven equal
kozerog [31]

Answer:

It would be C, 64.387

Step-by-step explanation:

First, you have to solve 7x1/1000. This equal to 7/1000 which should be converted into decimal form (since all the answers are in decimal form). 7/1000 is 0.007 in decimal form.

It is 0.007 since in 7/1000, the denominator is 1000, making 7 in the thousandths place (the 3rd digit to the right of the decimal point).

The only number that contains 0.007 is the 3rd one, making it your answer.

5 0
3 years ago
A shop sells a particular of video recorder. Assuming that the weekly demand for the video recorder is a Poisson variable with t
julia-pushkina [17]

Answer:

a) 0.5768 = 57.68% probability that the shop sells at least 3 in a week.

b) 0.988 = 98.8% probability that the shop sells at most 7 in a week.

c) 0.0104 = 1.04% probability that the shop sells more than 20 in a month.

Step-by-step explanation:

For questions a and b, the Poisson distribution is used, while for question c, the normal approximation is used.

Poisson distribution:

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^{-\lambda}*\lambda^{x}}{(x)!}

In which

x is the number of successes

e = 2.71828 is the Euler number

\lambda is the mean in the given interval.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

The Poisson distribution can be approximated to the normal with \mu = \lambda, \sigma = \sqrt{\lambda}, if \lambda>10.

Poisson variable with the mean 3

This means that \lambda= 3.

(a) At least 3 in a week.

This is P(X \geq 3). So

P(X \geq 3) = 1 - P(X < 3)

In which:

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)

Then

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

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

P(X = 1) = \frac{e^{-3}*3^{1}}{(1)!} = 0.1494

P(X = 2) = \frac{e^{-3}*3^{2}}{(2)!} = 0.2240

So

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0498 + 0.1494 + 0.2240 = 0.4232

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 1 - 0.4232 = 0.5768

0.5768 = 57.68% probability that the shop sells at least 3 in a week.

(b) At most 7 in a week.

This is:

P(X \leq 7) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) + P(X = 7)

In which

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

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

P(X = 1) = \frac{e^{-3}*3^{1}}{(1)!} = 0.1494

P(X = 2) = \frac{e^{-3}*3^{2}}{(2)!} = 0.2240

P(X = 3) = \frac{e^{-3}*3^{3}}{(3)!} = 0.2240

P(X = 4) = \frac{e^{-3}*3^{4}}{(4)!} = 0.1680

P(X = 5) = \frac{e^{-3}*3^{5}}{(5)!} = 0.1008

P(X = 6) = \frac{e^{-3}*3^{6}}{(6)!} = 0.0504

P(X = 7) = \frac{e^{-3}*3^{7}}{(7)!} = 0.0216

Then

P(X \leq 7) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) + P(X = 7) = 0.0498 + 0.1494 + 0.2240 + 0.2240 + 0.1680 + 0.1008 + 0.0504 + 0.0216 = 0.988

0.988 = 98.8% probability that the shop sells at most 7 in a week.

(c) More than 20 in a month (4 weeks).

4 weeks, so:

\mu = \lambda = 4(3) = 12

\sigma = \sqrt{\lambda} = \sqrt{12}

The probability, using continuity correction, is P(X > 20 + 0.5) = P(X > 20.5), which is 1 subtracted by the p-value of Z when X = 20.5.

Z = \frac{X - \mu}{\sigma}

Z = \frac{20 - 12}{\sqrt{12}}

Z = 2.31

Z = 2.31 has a p-value of 0.9896.

1 - 0.9896 = 0.0104

0.0104 = 1.04% probability that the shop sells more than 20 in a month.

5 0
3 years ago
Which equation of a line contains the points (-10,15) and (8, -3) and is parallel to y +4= -(x - 1)?​
JulijaS [17]

Answer:

y= -x+5

Step-by-step explanation:

<em>The</em><em> </em><em>slop</em><em>e</em><em> </em><em>of</em><em> </em><em>th</em><em>e</em><em> </em><em>two</em><em> </em><em>paral</em><em>lel</em><em> </em><em>lin</em><em>es</em><em> </em><em>is</em><em> </em><em>equ</em><em>al</em>

<em>so</em><em>,</em><em> the</em><em> slope</em><em> of</em><em> </em>

<em>y</em><em>=</em><em>-x-3</em><em> </em><em>is</em><em> </em><em>-</em><em>1</em><em> </em>

<em>slo</em><em>pe</em><em>=</em><em>y2-y1</em><em>/</em><em>x2-x1</em><em>=</em><em>-</em><em>3</em><em>-</em><em>1</em><em>5</em><em>/</em><em>8</em><em>-</em><em>-</em><em>1</em><em>0</em><em>=</em><em>-</em><em>1</em>

<em>the</em><em> </em><em>equa</em><em>tion</em><em> </em><em>of</em><em> </em><em>t</em><em>he</em><em> </em><em>line</em><em> </em><em>i</em><em>s</em>

<em>y-15</em><em>=</em><em> </em><em>-</em><em>1</em><em>(</em><em>x--10</em><em>)</em>

<em>y</em><em>=</em><em> </em><em>-x-10</em><em>+</em><em>1</em><em>5</em>

<em>y</em><em>=</em><em> </em><em>-x</em><em>+</em><em>5</em>

4 0
3 years ago
Help me pls besties ASAP thank you:)
Novosadov [1.4K]

Answer:

hey bestie its B

Step-by-step explanation:

3 0
3 years ago
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