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DIA [1.3K]
3 years ago
14

NEED HELP ASAP PLS!

Mathematics
2 answers:
BartSMP [9]3 years ago
5 0

Answer: 3

Step-by-step explanation:

Ad libitum [116K]3 years ago
4 0

Answer:

All of them

Step-by-step explanation:

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Simplify the problem; 18x^15
Maurinko [17]

Answer: 6746640616477458432x


Step-by-step explanation: 18^15=6746640616477458432

so the answer is 6746640616477458432x


8 0
3 years ago
Death Valley National Park is
Juli2301 [7.4K]

Answer:

4.09

Step-by-step explanation:

4.09 is your answer because all you need to do is add 3.34 and 0.75.

0.75 + 3.34 = 4.09

6 0
2 years ago
A graduate student majoring in linguistics is interested in studying the number of students in her college who are bilingual. Of
Eddi Din [679]

Answer:

48.41% probability that 17 or fewer of them are bilingual.

Step-by-step explanation:

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 = 50, p = \frac{466}{1320} = 0.3530

So

\mu = E(X) = np = 50*0.3530 = 17.65

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{50*0.3530*0.6470} = 3.38

Probability that 17 or fewer of them are bilingual.

Using continuity correction, this is P(X \leq 17 + 0.5) = P(X \leq 17.5), which is the pvalue of Z when X = 17.5. So

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

Z = \frac{17.5 - 17.65}{3.38}

Z = -0.04

Z = -0.04 has a pvalue of 0.4841

48.41% probability that 17 or fewer of them are bilingual.

8 0
3 years ago
What is 3 5/6 simplified
Karo-lina-s [1.5K]

This fraction is already simplified, but if you're looking for the mixed number, which is not simplified, it would be 23/6.

6 0
3 years ago
1/4 divided by 3 solve by using tape diagram
docker41 [41]
Reduce the expression if possible, by canceling the common factor the answer is 1/12 and the decimal form would be 0.083 hope i helped
5 0
3 years ago
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