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Elenna [48]
3 years ago
11

If 2/3 inch on a map corresponds to an actual distance of 9 miles, what distance on the map will represent 21 miles?

Mathematics
2 answers:
Elden [556K]3 years ago
8 0

Answer:

1 5/9 ich represent 21 miles

Step-by-step explanation:

Proportions:

2/3  inch  ⇔   9 miles

M  inch   ⇔    21 miles

M = 21*(2/3) / 9

M = 14/9

14/9 = 9/9 + 5/9 = 1 + 5/9 = 1 5/9 inch

o-na [289]3 years ago
6 0

Answer:

14/9 inches, or an inch and 5/9 of an inch.

Step-by-step explanation:

If 2/3 inch is the same as 9 miles, then x inches represents 21 miles. We can then set up a proportion.

\frac{\frac{2}{3} }{9} =\frac{x}{21}

9 * x = (2/3) * 21

9x = 2 * 7

9x = 14

x = 14/9 inches.

Hope this helps!

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alukav5142 [94]
The diagonals of a parallelogram bisect each other so
4x - 7 = x + 2 and
5y - 8 = 3y

4x - 7 = x + 2 so 3x = 9 and x = 3

5y - 8 = 3y so 2y = 8 and y = 4
4 0
3 years ago
Can someone help pls 18-3 X 2/5-1^2
d1i1m1o1n [39]

Answer:

3

Step-by-step explanation:

Remember the order of operations using PEMDAS: Parentheses, Exponents, Multiplication and Division (from left to right), Addition and Subtraction (from left to right).  So, you get  18 - 6   / 5-1  = 12/4 = 3

7 0
3 years ago
Read 2 more answers
Let t = 49.
Free_Kalibri [48]
B. 7

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7 0
3 years ago
Read 2 more answers
Solve the equation: 5/6 = 1/3 + D
Sauron [17]
Answer: \frac{1}{2} 
 
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\frac{5}{6} =  \frac{1}{3}  + D 
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\frac{5}{6} -  \frac{1}{3} = D 
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8 0
4 years ago
A researcher plans to conduct a significance test at the 0.01 significance level. She designs her study to have a power of 0.90
Rasek [7]

Answer: 0.10

Step-by-step explanation: The type 2 error is committed when the alternative hypothesis is rejected when it should have been accepted causing the researcher to accept the null hypothesis which is false.

Power is the probability of avoiding a type 2 error. That is ;

Power = 1 - P(type 2 error)

Given that power = 0.90 ; P(type 2 error) = probability of committing a type 2 error.

P(type 2 error)' = 1 - P(type 2 error) = Probability of not committing or avoiding a type 2 error

0.90 = 1 - P(type 2 error)

P(type 2 error) = 1 - 0.90

P(type 2 error) = 0.10

6 0
3 years ago
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