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IgorLugansk [536]
3 years ago
9

What elevation is the lowest

Mathematics
1 answer:
Keith_Richards [23]3 years ago
4 0
I think it’s c) -20 meters

This is because it is the deepest and lowest number. Not entirely sure but that’s what I think.

Hope this helps!
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Kind of lost, can anyone please help me find the answer and explain? Id really appreciate it.
stich3 [128]

Answer:

B. 45

Step-by-step explanation:

do 12×12 which is 144 then Davide it by 2 because it's a triangle then do 9×3 which is 27 then subtract that from 72 and you get 45.

5 0
3 years ago
Read 2 more answers
The probability that a house in an urban area will develop a leak is 6%. If 10 houses are randomly selected, what is the probabi
jeka57 [31]
9.4 is the answer because 6% of 10 is .6 and you do 10-0.6
6 0
3 years ago
Shelly and Steve buy prepaid phone
muminat

Answer:

Steve

Step-by-step explanation:

steve is buying 200 minutes which is more than 150 minutes

Hope i helped :) :) :)

5 0
3 years ago
LCM for 2 and 13 plz help me out
Andrei [34K]

[ Answer ]

\boxed{\bold{LCM \ = \ 26}}

[ Explanation ]

  • Find LCM For 2 & 13

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

LCM - The smallest number that two or more numbers can evenly fit into

  • LCM - What We Know
  • 2 & 13 Must Evenly Fit
  • Must Be Smallest Number They Both Fit Into
  • Multiple Of Two Or More Numbers

The Smallest Number That Both 2 & 13 Evenly Fit Into Is 26

26 ÷ 2 = 13

26 ÷ 13 = 2

\boxed{\bold{[] \ Eclipsed \ []}}

5 0
3 years ago
A report indicated that 37% of adults had received a bogus email intended to steal personal information. Suppose a random sample
fiasKO [112]

Answer:

5.05% probability that no more than 34% had received such an email.

Step-by-step explanation:

We use the binomial approximation to the normal to solve this problem.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 700, p = 0.37

\mu = E(X) = np = 700*0.37 = 259

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{700*0.37*0.63} = 12.77

In a random sample of 700 adults, what is the probability that no more than 34% had received such an email?

34% is 0.34*700 = 238

So this probability is the pvalue of Z when X = 238.

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

Z = \frac{238 - 259}{12.77}

Z = -1.64

Z = -1.64 has a pvalue of 0.0505

5.05% probability that no more than 34% had received such an email.

7 0
4 years ago
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