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garri49 [273]
3 years ago
10

N − 2/3 = 25 3/4 help now

Mathematics
1 answer:
Sav [38]3 years ago
5 0

Answer:

26 5/12

Step-by-step explanation:

n − 2/3 = 25 3/4                            Add 2/3 to both sides

n - 2/3 + 2/3 = 25 3/4 + 2/3         Combine

n = 25 3/4 + 2/3

Work with the fractions

3/4 + 2/3                                      The lowest common denominator is 12

(3*3)/(3*4) = 9 / 12

(2*4)/(3*4) = 8/ 12

9/12 + 8/12 = 17/12 = 1 5/12

Now you need to add 1 to 25

1 + 25 = 26

And add the fraction 5/12

The answer is 26 5/12

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enot [183]

i think it is A. P(5<X<9)

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3 years ago
Continue the following pattern; describe the eighth figure in this pattern a. 49 small squares forming a larger 8 by 8 square b.
olga2289 [7]

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Step-by-step explanation:

The eighth patern should give the result 81

7 0
3 years ago
Find the values of the constants p and q if the lines px + 5y = 7 and
Igoryamba

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Step-by-step explanation:

6 0
3 years ago
The body temperatures of adults are normally distributed with a mean of 98.6degrees° F and a standard deviation of 0.60degrees°
Schach [20]

Answer:

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 98.6, \sigma = 0.6, n = 36, s = \frac{0.6}{\sqrt{36}} = 0.1

If 36 adults are randomly​ selected, find the probability that their mean body temperature is greater than 98.4degrees° F.

This is 1 subtracted by the pvalue of Z when X = 98.4. So

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

By the Central Limit Theorem

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

Z = \frac{98.4 - 98.6}{0.1}

Z = -2

Z = -2 has a pvalue of 0.0228

1 - 0.0228 = 0.9772

97.72% probability that their mean body temperature is greater than 98.4degrees° F.

6 0
3 years ago
HELPP ASAP
elena55 [62]

Answer:

(4, -5)

(3, -2)

7 0
2 years ago
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