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VashaNatasha [74]
2 years ago
10

Problem in image. Explain it too.

Mathematics
1 answer:
alexandr1967 [171]2 years ago
5 0

\sqrt{40}  = 6.32\\\\\\or\\5\sqrt{15} \\\\

this is because when 40 is broken down into two numbers (one divisible to get out of the square root, and one not) you get 25 + 15 under the square root. we know that the square root of 25 is 5, so we can put 5 outside the root and leave 15 inside.

-------------- try the next problem, and if you don't understand, please reply back.

answer is for a) 5\sqrt{15}

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Evaluate f(x)=-7x+3 when x=-2, x=0, and x=5
Bas_tet [7]

Answer:

-7× 2 +3= 17

-7×0+3=3

-7×5+3= -32

6 0
3 years ago
A=1/2h(B+b); A=15, B=4,b=1
suter [353]

step by step

A=1/2h(B+b)

15=1/2h(4+1)

15/(4+1)=1/2h

15/5=1/2h

3=1/2h

h=2*3

h=6

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3 years ago
What is number pattern
anyanavicka [17]
A number patter is a list of numbers that follow a certain pattern like 2,4,6,8,10 is a pattern of 2's 
7 0
3 years ago
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

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)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

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)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
3 years ago
Draw a box-and-whisker plot for the set of data. 27, 35, 44, 51, 52, 54, 56, 69, 69, 79, 80, 100, 100 a. Please select the best
Finger [1]

look at the picture not my text lol

6 0
3 years ago
Read 2 more answers
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