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kompoz [17]
3 years ago
5

47.76 divided by 4.8

Mathematics
2 answers:
Step2247 [10]3 years ago
7 0
9.95 is the answer to this problem
Vesna [10]3 years ago
6 0

Answer:

the answer is 9.95

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A map has a scale of 3 centimeters = 26 kilometers. If two cities are 7 centimeters apart on the map, what is the actual distanc
maw [93]

Answer:

The answer to your question is 60.7 km

Step-by-step explanation:

This is a ratio and proportion problem, so let's write the proportion.

                                  3  :  26  : :  7  :  x

1.- Convert the expression to a fractional form.

                                  \frac{3}{26} = \frac{7}{x}

2.- Solve the proportion, cross multiplying and back off.

                                 x = \frac{26 x 7}{3}

                                 x = \frac{182}{3}

                                 x = 60.7 km

                         

5 0
3 years ago
[PICTURE ATTACHED] help please :’D
Romashka [77]
I am pretty sure the answer would be 39.
(31 + 48/6)
3 0
3 years ago
ITS AN EMERGENCY PLEASE HELPP MEEEE !!!!
babymother [125]

Answer: 832

Step-by-step explanation:

4 0
3 years ago
Solve the equation 2sin x cos x = cos x, for 0° < x≤ 90°​
lilavasa [31]

Answer:

2sinx.Cosx=cosx

2sin90°.cos90°=cos90°

2×1.0=0

0=0

4 0
3 years ago
Use the sample data and confidence level to construct the confidence interval estimate of the population proportion p. n equals
Alekssandra [29.7K]

Answer:

(0.767,0.833)

Step-by-step explanation:

The 95% confidence interval for population proportion p can be computed as

p-z_{\frac{\alpha }{2} } \sqrt{\frac{pq}{n} }

The z-value associated with 95% confidence level is 1.96.

whereas p=x/n

We are given that x=440 and n=550.

p=440/550=0.8

0.8-1.96\sqrt{\frac{0.8(0.2)}{550} }

0.8-1.96\sqrt{\frac{0.16}{550} }

0.8-1.96\sqrt{0.00029 }

0.8-1.96(0.01706)

0.8-0.03343

0.76657

Thus, the required confidence interval is

0.767<P<0.833  (rounded to 3 decimal places)

Hence, we are 95% confident that our true population proportion will lie in the interval (0.767,0.833)

3 0
3 years ago
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