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-Dominant- [34]
2 years ago
9

Scale 1 in=8 feet So 1.24 in =

Mathematics
1 answer:
zepelin [54]2 years ago
4 0

Answer:

9.92 feet or 9 feet 11 1/16 inches

Step-by-step explanation:

1.24X8 feet=9.92 feet or 9 feet 11 1/16 inches

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Amy is 9 years older than her brother john. their combined age is 23. write an expression to represent johns age (use x)
dedylja [7]
Let x the age of John
Amy's age = x + 9
from question, we get,
John's age + Amy's age = 23
x+(x+9)= 23
=> x + x + 9 = 23
=> 2x = 23 - 9
=> x = 14/2
=> x = 7
8 0
3 years ago
What is 33 photos into two grours so the ratio is 4 to 7
Keith_Richards [23]
ratio:\\4:7\to4+7=11\\\\33:11=3\\\\therefore\\\\4:7\\\downarrow\\4\times3=12\\7\times3=21\\\\Answer\huge\boxed{12:21}
7 0
3 years ago
Read 2 more answers
The function f(x)=-(x-3)^2 +9 can be used to represent the area of a rectangle with the perimeter of 12 units, as a function of
Ivenika [448]

Maximum area of the rectangle is 9cm^{2}

<u>Explanation:</u>

<u></u>

Considering the dimensions to be in cm

f(x) = -(x-3)^{2} +9\\f(x) = -(x^{2} +9 - 6x)+9\\f(x) = -x^{2} +6x\\f'(x) = -2x+6\\-2x+6 = 0\\2x=6\\x=3cm\\\\

Putting the value of x = 3

Perimeter = 2(x+b)\\12 = 2(3+b)\\6 = 3+b\\b= 3cm

Area of rectangle = x X b\\                              = 3 X 3\\                              = 9cm^{2}

Therefore, maximum area of the rectangle is 9cm^{2}

7 0
3 years ago
Suppose that P(A) = 0.42, P(B) = 0.5, and events A and B are independent.
n200080 [17]

Answer:

0.21

Step-by-step explanation: edge

4 0
2 years ago
6.11 Assume that an r of .80 describes the relationship between daily food intake, measured in ounces, and body weight, measured
Sloan [31]

Answer:

The coefficient of correlation does not change.

Step-by-step explanation:

We are given the following in the question:

The daily intake food is measured in ounces.

The body weight is measured in pounds.

Correlation between food intake and body weight = 0.80

Properties of correlation:

  • Correlation is a technique that help us to find or define a relationship between two variables.
  • It is a measure of linear relationship between two quantities.
  • The correlation between two variables is not effected by the units of the variable.
  • Even if the variable of the explanatory variable or the response variable changes, the correlation does not not change and remains same.

Conclusion:

A shift in units from ounces to grams and from pounds to kilogram does not change the value of coefficient of correlation.

8 0
3 years ago
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