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geniusboy [140]
4 years ago
15

Find angle 1 149 degrees 118 degrees 69 degrees 59 degrees

Mathematics
1 answer:
Mandarinka [93]4 years ago
7 0

∠A = 118°

<u>Step-by-step explanation:</u>

By using the property of parallelogram, diagonals bisect each other,

So ∠D = 31° + 31° = 62°

Another property of parallelogram says that,

consecutive angles are supplementary, that is ∠A and ∠D add up to 180 degrees.

Now we have the angle D as 62°, to find A, we can write as,

∠A + ∠D = 180°

∠A + 62° = 180°

It was rewritten to get ∠A as,

∠A = 180° - 62° = 118°

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Write a factored equation that has the solutions x=6 and x=-1
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Answer:

y = (x - 6)(x + 1)

Step-by-step explanation:

Use factored form, y = a(x - r1)(x - r2), where r1 and r2 are roots.

Since the solutions are 6 and -1, plug in these numbers:

y = (x - 6)(x + 1)

So, the factored equation is y = (x - 6)(x + 1)

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At the movie theatre, child admission is $5.20 and adult admission is $8.40. On Wednesday, 154 tickets were sold for a total sal
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127

Step-by-step explanation:

1069.60 divided by 8.40 is 127, so 127 adults I guess

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The resting heart rate for an adult horse should average about µ = 47 beats per minute with a (95% of data) range from 19 to 75
KatRina [158]

Answer:

a. 0.0582 = 5.82% probability that the heart rate is less than 25 beats per minute.

b. 0.1762 = 17.62% probability that the heart rate is greater than 60 beats per minute.

c. 0.7656 = 76.56% probability that the heart rate is between 25 and 60 beats per minute

Step-by-step explanation:

Empirical Rule:

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are within 1 standard deviation of the mean.

Approximately 95% of the measures are within 2 standard deviations of the mean.

Approximately 99.7% of the measures are within 3 standard deviations of the mean.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

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

Mean:

\mu = 47

(95% of data) range from 19 to 75 beats per minute.

This means that between 19 and 75, by the Empirical Rule, there are 4 standard deviations. So

4\sigma = 75 - 19

4\sigma = 56

\sigma = \frac{56}{4} = 14

a. What is the probability that the heart rate is less than 25 beats per minute?

This is the p-value of Z when X = 25. So

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

Z = \frac{25 - 47}{14}

Z = -1.57

Z = -1.57 has a p-value of 0.0582.

0.0582 = 5.82% probability that the heart rate is less than 25 beats per minute.

b. What is the probability that the heart rate is greater than 60 beats per minute?

This is 1 subtracted by the p-value of Z when X = 60. So

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

Z = \frac{60 - 47}{14}

Z = 0.93

Z = 0.93 has a p-value of 0.8238.

1 - 0.8238 = 0.1762

0.1762 = 17.62% probability that the heart rate is greater than 60 beats per minute.

c. What is the probability that the heart rate is between 25 and 60 beats per minute?

This is the p-value of Z when X = 60 subtracted by the p-value of Z when X = 25. From the previous two items, we have these two p-values. So

0.8238 - 0.0582 = 0.7656

0.7656 = 76.56% probability that the heart rate is between 25 and 60 beats per minute

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If 5 miles= 8 km, convert 40 mules to kilometers​
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Answer:

64.3738

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