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Dmitry [639]
3 years ago
11

2/5 and 3/8 common denominator

Mathematics
2 answers:
Svetlanka [38]3 years ago
8 0

Answer:

it's 40

Step-by-step explanation:

\frac{2}{5}  \frac{ \times }{ \times }   \frac{8}{8}  =  \frac{16}{40}  \\  \frac{3}{8}  \frac{ \times }{ \times }  \frac{5}{5}  =  \frac{15}{40}

so the common denominator is <u>4</u><u>0</u>

Nat2105 [25]3 years ago
6 0

Answer:

40

Step-by-step explanation:

The common denominator = 5×8

= 40

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Equivalent fraction to 42\63
Nikitich [7]

Answer:

2/3

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
What is 9x-5x ????i need help
Dima020 [189]

Hi there!

Answer:

<u><em>=4x</em></u>

Step-by-step explanation:

Distributive property: ⇒ a(b+c)=ab+ac

You had to add similar elements.

9x-5x=4x

5x+4x=9x

9x-4x=5x

final answer: =4x

Hope this helps!

-Charlie

Have a great day!

4 0
4 years ago
The temperature at a ski resort was 12°F at 5:00 A.M. If the temperature increased by 1.5°F each hour, what would be the tempera
Mariana [72]

The <em><u>correct answer</u></em> is:

22.5° F.

Explanation:

The temperature increases 1.5° per hour.  From 5:00 AM to 12:00 PM is 12-5 = 7 hours.  This makes an increase of 1.5(7) = 10.5°.

The temperature started at 12°F; increasing by 10.5° gives us

12+10.5 = 22.5°F.

3 0
3 years ago
Branliest and Extra Points will be given!!! No explanation needed just the answer plz.
Hitman42 [59]

Right triangle, Pythagorean Theorem:

c² = a² + b²

a=8, b=9

c² = 8² + 9²  = 64 + 81 = 145

c = √145 inches

That's the exact answer but they want us to ruin it with an approximation.

c ≈ 12.041594578792296 inches

Answer: 12

3 0
4 years ago
In a simple random sample of 14001400 young​ people, 9090​% had earned a high school diploma. Complete parts a through d below.
ratelena [41]

Answer:

(a) The standard error is 0.0080.

(b) The margin of error is 1.6%.

(c) The 95% confidence interval for the percentage of all young people who earned a high school diploma is (88.4%, 91.6%).

(d) The percentage of young people who earn high school diplomas has ​increased.

Step-by-step explanation:

Let <em>p</em> = proportion of young people who had earned a high school diploma.

A sample of <em>n</em> = 1400 young people are selected.

The sample proportion of young people who had earned a high school diploma is:

\hat p=0.90

(a)

The standard error for the estimate of the percentage of all young people who earned a high school​ diploma is given by:

SE_{\hat p}=\sqrt{\frac{\hat p(1-\hat p)}{n}}

Compute the standard error value as follows:

SE_{\hat p}=\sqrt{\frac{\hat p(1-\hat p)}{n}}

       =\sqrt{\frac{0.90(1-0.90)}{1400}}\\

       =0.008

Thus, the standard error for the estimate of the percentage of all young people who earned a high school​ diploma is 0.0080.

(b)

The margin of error for (1 - <em>α</em>)% confidence interval for population proportion is:

MOE=z_{\alpha/2}\times SE_{\hat p}

Compute the critical value of <em>z</em> for 95% confidence level as follows:

z_{\alpha/2}=z_{0.05/2}=z_{0.025}=1.96

Compute the margin of error as follows:

MOE=z_{\alpha/2}\times SE_{\hat p}

          =1.96\times 0.0080\\=0.01568\\\approx1.6\%

Thus, the margin of error is 1.6%.

(c)

Compute the 95% confidence interval for population proportion as follows:

CI=\hat p\pm MOE\\=0.90\pm 0.016\\=(0.884, 0.916)\\\approx (88.4\%,\ 91.6\%)

Thus, the 95% confidence interval for the percentage of all young people who earned a high school diploma is (88.4%, 91.6%).

(d)

To test whether the percentage of young people who earn high school diplomas has​ increased, the hypothesis is defined as:

<em>H₀</em>: The percentage of young people who earn high school diplomas has not​ increased, i.e. <em>p</em> = 0.80.

<em>Hₐ</em>: The percentage of young people who earn high school diplomas has not​ increased, i.e. <em>p</em> > 0.80.

Decision rule:

If the 95% confidence interval for proportions consists the null value, i.e. 0.80, then the null hypothesis will not be rejected and vice-versa.

The 95% confidence interval for the percentage of all young people who earned a high school diploma is (88.4%, 91.6%).

The confidence interval does not consist the null value of <em>p</em>, i.e. 0.80.

Thus, the null hypothesis is rejected.

Hence, it can be concluded that the percentage of young people who earn high school diplomas has ​increased.

8 0
3 years ago
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