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4 years ago

How would you add parentheses and brackets to make this sentence true: 45÷2×4.7-4.4×6=54

Mathematics

1 answer:

BabaBlast [244]4 years ago

8 0

45÷[(2×4.7)-4.4]×6 is where you would place them each

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CALCULATE THE VALUE OF X IN THE FOLLOWING DIAGRAM.<br>

Dvinal [7]

Answer:

$tan(55.3) = \frac{ac}{10.5}$

ac=

$10.5 \tan(55.3)$

$x = 10.5 \tan(55.3) - 10.5$

$x = 4.67(2dp)$

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3 years ago

The endpoints of a segment are (4,2) and (7,4). What are the endpoints of the segment after it has been translated 3 units to th

viktelen [127]

Answer:

The endpoints of the segment are (7,2) and (10,4).

Step-by-step explanation:

Since it is being translated to the right, you add 3 to both x values.

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4 years ago

Find the volume of the oblique rectangular prism with length 8 cm, width 2 cm, and height 5 cm.

serious [3.7K]

Answer is 80cm because you do length x width x height and get the answer

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3 years ago

Read 2 more answers

A true-false quiz with 10 questions was given to a statistics class. Following is the probability distribution for the score of

disa [49]

Answer:

$E(X)=\sum_{i=1}^n X_i P(X_i)$

And if we use the values obtained we got:

$E(X)=5*0.05 +6*0.15 +7*0.33 +8*0.28+ 9*0.12 +10*0.07=7.48$

For this case this value means that the expected score is about 7.48

Step-by-step explanation:

For this case we assume the following probability distribution:

X 5 6 7 8 9 10

P(X) 0.05 0.15 0.33 0.28 0.12 0.07

First we need to find the expected value (first moment) and the second moment in order to find the variance and then the standard deviation.

In order to calculate the expected value we can use the following formula:

$E(X)=\sum_{i=1}^n X_i P(X_i)$

And if we use the values obtained we got:

$E(X)=5*0.05 +6*0.15 +7*0.33 +8*0.28+ 9*0.12 +10*0.07=7.48$

For this case this value means that the expected score is about 7.48

In order to find the standard deviation we need to find first the second moment, given by :

$E(X^2)=\sum_{i=1}^n X^2_i P(X_i)$

And using the formula we got:

$E(X^2)=(5^2 *0.05)+(6^2 *0.15)+(7^2 *0.33)+(8^2 *0.28)+ (9^2 *0.12 +(10^2 *0.07))=57.46$

Then we can find the variance with the following formula:

$Var(X)=E(X^2)-[E(X)]^2 =57.46-(7.48)^2 =1.5096$

And then the standard deviation would be given by:

$Sd(X)=\sqrt{Var(X)}=\sqrt{1.5096}=1.229$

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4 years ago

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Suppose you earn $7.25 per hour working part-time for a florist.

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Where is the rest for the problem

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3 years ago