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3 years ago

I need help with this!

Mathematics

1 answer:

Ratling [72]3 years ago

5 0

The answer would be y=23

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Factor: 4b2−12b+9 A) (2b−3)2 B) (2b+3)2 C) (2b−3)(2b+3) D) (2b−9)(2b−1)

tatuchka [14]

Answer:

Step-by-step explanation:

(2b-3)^2 = (2b-3)(2b-3) = 4b^2-12b+9

7 0

4 years ago

I need help with this problem

Dahasolnce [82]

when you got a variable that is x it stays the same it becomes a invisible 1

multiply 12 by 9 the answer is 108

x=108

8 0

3 years ago

What is the mode and median of 1,2,1,3,3,5,3,4,5,4,3,2,5,3,1.

tankabanditka [31]

hope it helps uh ....!!!!

8 0

4 years ago

There are 12 ice cream cups in a box if the box cost 9.60 how much does each cup of ice cream cost

larisa86 [58]

You would take the number of ice cream cups which is 12 and divide it by the cost which is 9.60
12/9.60=1.25

3 0

4 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:

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

5 0

4 years ago

Read 2 more answers