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Drupady [299]
3 years ago
15

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Mathematics
1 answer:
tresset_1 [31]3 years ago
8 0

The square root of 54 is 7.348 but simplified is 3 square root 6

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and this, please my life is going to all hell and if someone could help me out i’d really appreciate it:)
MatroZZZ [7]

Answer:

Step-by-step explanation:

you can go to a calculator

6 0
3 years ago
Find two consecutive odd integers whose sum is 196
WINSTONCH [101]

n, n + 2 - two consecutive odd integers

196 - the sum

The equation:

n + (n + 2) = 196

n + n + 2 = 196      |subtract 2 from both sides

2n = 194     |divide both sides by 2

n = 97

n + 2 = 97 + 2 = 99

Answer: 97, 99.

3 0
4 years ago
Brainliest + Points! [Please explain]
garri49 [273]

Answer:

Step-by-step explanation:

10/12=.833

we know that there are 12 months in a year. so the %10 annually is evenly spread out whether it be daily monthly weekly. so just divide the %10 by 12.  

3 0
4 years ago
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
3 years ago
Mt. Everest is 8,848 meters tall. If there
sergeinik [125]

Answer:29,198.4

Step-by-step explanation:

8,848x3.3

5 0
3 years ago
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