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erastovalidia [21]
3 years ago
15

What is the quotient of 5 1/2 and 1/8

Mathematics
1 answer:
Stels [109]3 years ago
4 0

Answer:

44

Step-by-step explanation:

5 1/2 / 1/8

turn into improper fraction

11/2 then change to multiplication

11/2*8/1(have to flip)

88/2(multiply across)

simplify=44

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What is the domain of the function f(w) = 0.5(35 – 2w)? Explain your answer.
Igoryamba
The domain is all real numbers, the function is a variant of linear, which could be expressed in the form of y=mx+b as y = -w + 17.5, therefore all real numbers is the domain and the range.
5 0
3 years ago
What is the equivalent fraction of 84/120?
Zigmanuir [339]
84/120 can be reduced to 7/10
7 0
3 years ago
Fourteen out of 20 teens said they eat breakfast every morning what is a reasonable prediction for the number of teens out of 12
Oksi-84 [34.3K]

Answer:

896

Step-by-step explanation:

14 of 20 teens eats breakfast every morning.

The percentage of those who eat breakfast every morning

= 14/20 x 100%

= 0.7 x 100%

= 70%

So, 70% of 20 teens eat breakfast every morning.

The reasonable prediction for the number of teens that eats breakfast every morning from 1280 teens will be 70% of 1280.

70/100 x 1280

0.7 x 1280

896

The prediction would be 896 out of 1280 teens eats breakfast every morning

8 0
3 years ago
Can someone please help me with 10-16 it’s due tomorrow!!! Please
VMariaS [17]
10) V=πr² *h= π*10²*12≈3770
11) V=A(base)*h= (3√3/2)*(9²)*10=2104
A(base)=(P*a)/2=(6*9*3√3)/2=9*9*3√3/2

12)V=πr² *h=π*18² *6≈6107
13)V=4*3*12=144
14) h(triangle)=√(5²-3²)=√16=4
A(base)=(3*4)/2=6
V=A(base)* height (prism)=6*2=12
15)  V=A(base)*h= (3√3/2)*(6²)*11= 1029
16)V=A(base)*h=2(1+√2)5²*22≈2656
7 0
3 years ago
Assume the competing hypotheses take the following form: H0: µ1 – µ2 = 0, HA: µ1 – µ2 ≠ 0, where µ1 is the population mean for p
DedPeter [7]

Answer:

t=\frac{\bar x_1- \bar x_2}{\sqrt{\frac{s_1^2}{n_1} +\frac{s_2^2}{n_2} } }

Step-by-step explanation:

H0: µ1 – µ2 = 0

HA: µ1 – µ2 ≠ 0

We have given,

The population variances are not known and cannot be assumed equal.

The test statistic for the test is

t=\frac{\bar x_1- \bar x_2}{\sqrt{\frac{s_1^2}{n_1} +\frac{s_2^2}{n_2} } }

Where,

\bar x_1 = sample meaan of population 1

\bar x_2 = sample mean of population 2

n_1 = sample size of population 1

n_2 = sample size of population 2

Therefore, this is the test

t=\frac{\bar x_1- \bar x_2}{\sqrt{\frac{s_1^2}{n_1} +\frac{s_2^2}{n_2} } }

7 0
3 years ago
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