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Oksi-84 [34.3K]
3 years ago
13

The angle measures of a triangle are 33 degrees, 94 degrees, and 53 degrees. what angle is it?

Mathematics
1 answer:
Alex Ar [27]3 years ago
6 0
G. Obtuse.
<span>One angle 90º (94º >90°)</span>

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Rewrite the expression in the form 9^n<br> (9^3) (9^12)
BartSMP [9]

Answer:

{9}^{15}

Step-by-step explanation:

( {9}^{3} ) \times ( {9}^{12} ) = 9 {}^{3 + 12}  =  {9}^{15}  \\

5 0
3 years ago
Choose the correct answers for (a) the total installment price, (b) the carrying charges, and (c) the number of months needed to
yanalaym [24]
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2 years ago
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Consider the probability that no less than 96 out of 145 people will not get the flu this winter. Assume the probability that a
dsp73

Answer:

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

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 = 145, p = 0.61

So

\mu = E(X) = np = 145*0.61 = 88.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{145*0.61*0.39} = 5.87

Consider the probability that no less than 96 out of 145 people will not get the flu this winter.

More than 95 people, which is the same as 1 subtracted by the pvalue of Z when X = 95. So

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

Z = \frac{95 - 88.45}{5.87}

Z = 1.115

Z = 1.115 has a pvalue of 0.8676

1 - 0.8676 = 0.1324

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

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Su has about 1/6 yards of felt left my dude/dudett
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3 years ago
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1. A plumber cut a pipe into 6 identical pieces. Each piece measures 17.4 feet long.
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Answer:

104.4 for A.

Step-by-step explanation:

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