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Marysya12 [62]
2 years ago
11

Jesus Christ had dreads so shake em', I ain't got none but I'm planning on growing some​

Mathematics
2 answers:
Akimi4 [234]2 years ago
4 0

Answer:

cool

Step-by-step explanation:

vladimir2022 [97]2 years ago
3 0
Thank u 4 this knowledge. I hope your dreads complete u.
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Classify the triangle by its side lengths.
Harrizon [31]

Answer:

this triangle is an acute triangle

3 0
2 years ago
It takes 10 minutes to fill a 60-gallon bathing pool. What is the average rate in gallons per hour
Lerok [7]
3,600 gallons per hour because there is 60 minutes in an hour and you started with 10 minutes so you multiply 60 by 60.
6 0
3 years ago
A fraction with a numerator of 1 is called a _ fraction
Oksi-84 [34.3K]

Answer:

Unit fraction

Step-by-step explanation:

A unit fraction means 1 unit is the value of the numerator. This means 1 is in the numerator.

8 0
2 years ago
Read 2 more answers
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

3 0
2 years ago
(7s – 8s⁴ – 3) + (-4s – 6s⁴ – 2s²)
klasskru [66]

The simplified expression is: -14s⁴-2s²+3s-3.

First group all the like terms together.

(-8s⁴)+(-6s⁴)=-14s

-2s

7s+(-4s)=3s

-3

Then put the expression back together, starting with the term that has the largest exponent, then working your way down. You would then get: -14s⁴-2s²+3s-3.

4 0
3 years ago
Read 2 more answers
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