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3 years ago

BRAINLLEST HELPPPPPPPPPPPPPPPPPPPPPP

Mathematics

2 answers:

Verizon [17]3 years ago

6 0

Answer:

1200cm

Step-by-step explanation: this is the suface area:)

AlexFokin [52]3 years ago

6 0

Answer:

face 1. 5, 8 - area = 40

face 2. bottom, 3, 8 = 24

face 3. Back ,4, 8 = 32

triangular faces, 3 , 4, A=6

Step-by-step explanation:

Surface area should be 108 if i'm not mistaken.

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Three components are randomly sampled, one at a time, from a large lot. As each component is selected, it is tested. If it passe

Angelina_Jolie [31]

Answer:

a) $P(X=0)=(3C0)(0.8)^0 (1-0.8)^{3-0}=0.008$

$P(X=1)=(3C1)(0.8)^1 (1-0.8)^{3-1}=0.096$

$E(X) = np = 3*0.8= 2.4$

We expect 2.4 successes in a sample of three selected.

And the standard deviation is given by:

$Sd(X)= \sigma = \sqrt{np(1-p)}=\sqrt{3*0.8*(1-0.8)}= 0.693$

Represent the typical variation around the mean.

b) $Y \sim Binom(n=4, p=0.8)$

And we want this probability:

$P(Y=3)=(4C3)(0.8)^3 (1-0.8)^{4-3}=0.4096$

c) $Z \sim Binom(n=4, p=0.8)$

And we want this probability:

$P(Z=3)=(4C3)(0.8)^3 (1-0.8)^{4-3}=0.4096$

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Part a

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=3, p=0.8)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

And we want the following probabilities

$P(X=0)=(3C0)(0.8)^0 (1-0.8)^{3-0}=0.008$

$P(X=1)=(3C1)(0.8)^1 (1-0.8)^{3-1}=0.096$

The mean is given by:

$E(X) = np = 3*0.8= 2.4$

We expect 2.4 successes in a sample of three selected.

And the standard deviation is given by:

$Sd(X)= \sigma = \sqrt{np(1-p)}=\sqrt{3*0.8*(1-0.8)}= 0.693$

Represent the typical variation around the mean.

Part b

Let Y the random variable of interest, on this case we now that:

$Y \sim Binom(n=4, p=0.8)$

And we want this probability:

$P(Y=3)=(4C3)(0.8)^3 (1-0.8)^{4-3}=0.4096$

Part c

Let Z the random variable of interest, on this case we now that:

$Z \sim Binom(n=4, p=0.8)$

And we want this probability:

$P(Z=3)=(4C3)(0.8)^3 (1-0.8)^{4-3}=0.4096$

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Bingel [31]

<span>94.25 centimeters is your answer. Hope this helps!</span>

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Stolb23 [73]

Answer:

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Step-by-step explanation:

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3 years ago

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zavuch27 [327]

Answer:

10%

Step-by-step explanation:

divide 90 into 81

so 81/90=.9

multiply that by 100 and you get 90 so 81 is 90% of 90 so it got marked down 10%

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4 years ago

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