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2 years ago

Please help me pleaseee

Mathematics

1 answer:

Sonja [21]2 years ago

6 0

Answer:

m=112

Step-by-step explanation:

16-2=4

m/8=14

14x8=112

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1 over 3b = 4 over 5. which of the following equals b in this equation?

Alina [70]

1/(3b)=4/5 multiply both sides by 5

5/(3b)=4 multiply both sides by 3b

5=12b divide both sides by 12

b=5/12 (not sure why you don't have that as an option in your answers, perhaps I misunderstood your description of the original equation...)

5 0

2 years ago

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5 pts Question 17 - + - = -6/14 -7/8 6/24 09/14

Nady [450]

Answer:

-7/8

Step-by-step explanation:

$\frac{ - 3 \times 8}{6 \times 8} + \frac{ - 3 \times 6}{8 \times 6} = \frac{ - 24 - 18}{48} = \frac{ - 42}{48}$

$= \frac{ - 7}{8}$

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2 years ago

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Find the area of the following composite figure please

telo118 [61]

Step-by-step explanation:

answer is in photo above

5 0

2 years ago

9(d − 93) = –36 d = _______

goldenfox [79]

Steps to solve:

9(d - 93) = -36d

~Distribute

9d - 837 = -36d

~Subtract 9d to both sides

-837 = -45d

~Divide -45 to both sides

18.6 = d

Best of Luck!

4 0

2 years ago

Assume that women's heights are normally distributed with a mean given by mu equals 62.5 in,and a standard deviation given by

Misha Larkins [42]

Answer:

(a) 0.5899

(b) 0.9166

Step-by-step explanation:

Let X be the random variable that represents the height of a woman. Then, X is normally distributed with

$\mu$ = 62.5 in

$\sigma$ = 2.2 in

the normal probability density function is given by

$f(x) = \frac{1}{\sqrt{2\pi}2.2}\exp{-\frac{(x-62.5)^{2}}{2(2.2)^{2}}}$ , then

(a) $P(X < 63) = \int\limits_{-\infty}^{63}f(x) dx$ = 0.5899

(in the R statistical programming language) pnorm(63, mean = 62.5, sd = 2.2)

(b) We are seeking $P(\bar{X} < 63)$ where n = 37. $\bar{X}$ is normally distributed with mean 62.5 in and standard deviation $2.2/\sqrt{37}$ . So, the probability density function is given by

$g(x) = \frac{1}{\sqrt{2\pi}\frac{2.2}{\sqrt{37}}}\exp{-\frac{(x-62.5)^{2}}{2(2.2/\sqrt{37})^{2}}}$ , and

$P(\bar{X} < 63) = \int\limits_{-\infty}^{63}g(x)dx$ = 0.9166

(in the R statistical programming language) pnorm(63, mean = 62.5, sd = 2.2/sqrt(37))

You can use a table from a book to find the probabilities or a programming language like the R statistical programming language.

4 0

2 years ago