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alisha [4.7K]
3 years ago
14

Which of the following is a requirement for a trinomial to be factored as a perfect square? A. The coefficient for the x^2 term

must not be a perfect square. B. The coefficient for the x^2 term must not be an even number. C. The coefficient for the x^2 term must be a perfect square. D. The coefficient for the x^2 term must be a perfect cube.
Mathematics
1 answer:
prisoha [69]3 years ago
4 0
For the trinomial to be a perfect square trinomial the coefficient for the x^2 term must. E a perfect square.
Letter C
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Round 76.625 to the nearest hundredths
lidiya [134]
Is 76.63 because:
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If it is 4 or below, you let it stay still.

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3 years ago
Yolanda starts at the gym and works out a training plan. She wants to cycle a total of 120 miles. If she goes to the gym 3 times
choli [55]

Answer: 5 miles

Step-by-step explanation: If she goes 3 times a week for 8 weeks she goes for a total of 24 days. In those 24 days she wants to bike 120 miles. Divide 120 by 24. You get 5. Therefore she needs to bike 5 miles each day she goes to the gym to achieve her goal.

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3 years ago
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed, with mean equ
kompoz [17]

Answer:

0.62% probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}

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.

In this problem, we have that:

\mu = 800, \sigma = 40, n = 16, s = \frac{40}{\sqrt{16}} = 10

Find the probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

This probability is the pvalue of Z when X = 775. So

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

Z = \frac{775 - 800}{10}

Z = -2.5

Z = -2.5 has a pvalue of 0.0062. So there is a 0.62% probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

5 0
3 years ago
BRAINLIEST ASAP! PLEASE HELP ME :)
Novay_Z [31]

It is EXACTLY equal to 13, whereas the second equation equals \displaystyle csc^2θ.

I am joyous to assist you anytime.

8 0
3 years ago
PLS HELP ASAP WILL MARK BRAINLIEST
Lady_Fox [76]
Yes he will



Because math is cool
3 0
3 years ago
Read 2 more answers
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