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3 years ago

7

A walking trail is 3.8 miles long. If Gertrude walked the length of the 1 walking trail 13 times, how many miles did Gertrude wa

lk?

1 answer:

luda_lava [24]3 years ago

6 0

Answer:

49.4 miles.

Step-by-step explanation:

3.8 × 13 = 49.4 (miles)

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Please help Faaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaast 2x ≤ − 2/7 (8x + 8)

soldi70 [24.7K]

Answer:

<h2> $x\leq - \frac{8}{15}$ </h2>

Step-by-step explanation:

<h3> $2x \leq - \frac{2}{7} (8x + 8)$ </h3>

<u>First of all multiply through by 7</u>

We have

<h3> $14x\leq - 2(8x + 8)$ </h3>

<u>Expand the terms in the bracket</u>

That's

<h3> $14x\leq - 16x - 16$ </h3>

<u>Add 16x to both sides</u>

That's

<h3> $14x + 16x\leq16x - 16x - 16 \\30x\leq - 16$ </h3>

<u>Divide both sides by 30</u>

We have the final answer as

<h3> $x\leq - \frac{8}{15}$ </h3>

Hope this helps you

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3 years ago

Simplify (4/5-2). ignore this it has to be 20 characters to work

WINSTONCH [101]

Answer:

-1.2

Step-by-step explanation:

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2 years ago

Please help due tmr I also have 2 more questions!

Marina CMI [18]

Answer:

17

Step-by-step explanation:

n = 17

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3 years ago

For a binomial process, the probability of success is 40 percent and the number of trials is 5. Find the standard deviation.

Yakvenalex [24]

Answer:

$Sd(X) =\sqrt{1.2}=1.095$

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

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

$X \sim Binom(n=5, p=0.4)$

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:

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

The mean for the binomial distribution is given by:

$E(X) =np=5*0.4=2$

And the variance is given by:

$Var(X) = np(1-p) =5*0.4*(1-0.4)=1.2$

And the deviation is just the square root of the variance so we got:

$Sd(X) =\sqrt{1.2}=1.095$

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3 years ago

I don’t understand this

navik [9.2K]

Answer:

C = $4.88p

Step-by-step explanation:

You multiply the number of cheese pounds(p) by the cost of the pounds($4.88)

And you will get your total

Hope this helps!

3 0

3 years ago

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