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choli [55]
3 years ago
15

What is the answer to 7/9 - 3/8=

Mathematics
1 answer:
antiseptic1488 [7]3 years ago
5 0
7/9-3/8
56/72-27/72
29/72
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2. At a particular snack stand, each dill pickle has 65 calories and each bag of
Naddika [18.5K]

Answer:

5 pickles and 1.4 bags of popcorn

Step-by-step explanation:

5x 65= 375

695 - 375= 370

370 ÷ 250 = 1.4

6 0
3 years ago
If EF = 2x - 12, FG = 3x - 17, and EG = 26, find the values of X, EF, and FG.
Dmitriy789 [7]

Answer:

Step-by-step explanation:

2x - 12 + 3x  - 17 = 26

5x - 29 = 26

5x = 55

x = 11

2(11) - 12 = 22 - 12 = 10 EF

3(11) - 17 = 33 - 17 =  16 FG

8 0
3 years ago
How to get the length of 12 & a width of 5 then what is its perimeter?
3241004551 [841]

Answer:

uygbdlvjhUISJ

Step-by-step explanation:

4 0
3 years ago
a rectangular prism with a volume of 3 cubic units is filled with cubes with side lengths of 1/4 unit. How many 1/4 unit cubes d
nekit [7.7K]

Answer:

192

Step-by-step explanation:

at 1/4 unit length, each side of one cubic unit would be 4.

so each cubic unit would consist of 4x4x4 = 64 of the 1/4 cubic units.

64 x 3 = 192

4 0
3 years ago
Read 2 more answers
A physical therapist wants to determine the difference in the proportion of men and women who participate in regular sustained p
Alekssandra [29.7K]

Using the z-distribution and the formula for the margin of error, it is found that:

a) A sample size of 54 is needed.

b) A sample size of 752 is needed.

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of \alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which z is the z-score that has a p-value of \frac{1+\alpha}{2}.

The margin of error is of:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

90% confidence level, hence\alpha = 0.9, z is the value of Z that has a p-value of \frac{1+0.9}{2} = 0.95, so z = 1.645.

Item a:

The estimate is \pi = 0.213 - 0.195 = 0.018.

The sample size is <u>n for which M = 0.03</u>, hence:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = 1.645\sqrt{\frac{0.018(0.982)}{n}}

0.03\sqrt{n} = 1.645\sqrt{0.018(0.982)}

\sqrt{n} = \frac{1.645\sqrt{0.018(0.982)}}{0.03}

(\sqrt{n})^2 = \left(\frac{1.645\sqrt{0.018(0.982)}}{0.03}\right)^2

n = 53.1

Rounding up, a sample size of 54 is needed.

Item b:

No prior estimate, hence \pi = 0.05

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = 1.645\sqrt{\frac{0.5(0.5)}{n}}

0.03\sqrt{n} = 1.645\sqrt{0.5(0.5)}

\sqrt{n} = \frac{1.645\sqrt{0.5(0.5)}}{0.03}

(\sqrt{n})^2 = \left(\frac{1.645\sqrt{0.5(0.5)}}{0.03}\right)^2

n = 751.7

Rounding up, a sample of 752 should be taken.

A similar problem is given at brainly.com/question/25694087

5 0
3 years ago
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