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Sveta_85 [38]
3 years ago
6

There 3/4 of pie left, it 4 friends wanted to share the pie equally, how much each friend receive?

Mathematics
1 answer:
elena-14-01-66 [18.8K]3 years ago
4 0
Answer: 3/16
3/4 divide 4 is:
3/4 times 1/4=
3/16 
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Can anyone help me? SOOOOO hard!!
emmasim [6.3K]

Answer:

i think its 16/34

Step-by-step explanation:

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3 years ago
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Use the graph to find the following.
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a) Local maximum values of g are: 0 and 3

b) The values at which g has local maximum are : -2 and 2

<h3>What is a maximum point?</h3>

A maximum point is the point at which the gradient of the curve changes from positive to negative.

Analysis:

The inverted v-curves all have maximum values and they are two.

The one at x = -2 and the one at x = 2 for in both cases their maximum values are y = 0 and y = 3 respectively.

Learn more about minimum and maximum points:  brainly.com/question/14993153

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Congruent means to have the same shape and size or when we can cut them out and then match them up completely.
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What is the table of values for y=x+2
Marta_Voda [28]

Answer:

x        y

-2       0

0       2

Slope: 1

y-intercept = 2 ( 0, 2 )

Hope this helped!

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8 0
3 years ago
A manager at a local company asked his employees how many times they had given blood in the last year. The results of the survey
Lubov Fominskaja [6]

Answer:

Var(X) = E(X^2) -[E(X)]^2 = 4.97 -(1.61)^2 =2.3779

And the deviation would be:

Sd(X) =\sqrt{2.3779}= 1.542 \approx 1.54

Step-by-step explanation:

For this case we have the following distribution given:

X        0         1       2       3       4         5        6

P(X)  0.3   0.25   0.2   0.12   0.07   0.04   0.02

For this case we need to find first the expected value given by:

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

And replacing we got:

E(X)= 0*0.3 +1*0.25 +2*0.2 +3*0.12 +4*0.07+ 5*0.04 +6*0.02=1.61

Now we can find the second moment given by:

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

And replacing we got:

E(X^2)= 0^2*0.3 +1^2*0.25 +2^2*0.2 +3^2*0.12 +4^2*0.07+ 5^2*0.04 +6^2*0.02=4.97

And the variance would be given by:

Var(X) = E(X^2) -[E(X)]^2 = 4.97 -(1.61)^2 =2.3779

And the deviation would be:

Sd(X) =\sqrt{2.3779}= 1.542 \approx 1.54

 

8 0
3 years ago
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