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2 years ago

Will you check my math its supposed to be a face!

Mathematics

1 answer:

LUCKY_DIMON [66]2 years ago

6 0

It looks like a face to me

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Please Answer Attachment Below Thanks

docker41 [41]

Answer:

Step-by-step explanation:

The interior angles of a heptagon add up to 5*180 = 900

x + 143 + 116 + 135 + 135 + 116 + 155 = 900 Add up the known angles

x + 800 = 900 Subtract 800 from both sides

x + 800 - 800 = 900 - 800 Combine

x = 100

8 0

3 years ago

A school district is considering moving the start of the school day at Groveland High from 8:00 a.m. to 9:00 a.m. to allow stude

DaniilM [7]

Answer:

The answer is " $\bold{(7.1-8.3) \pm 1.665 \sqrt{\frac{(1.7)^2}{50}+\frac{(1.9)^2}{39}} }\\\\$ "

Step-by-step explanation:

Given values:

$\bar{x_1}=7.1\\\\\bar{x_2}=8.3\\\\s_1=1.7\\\\s_2=1.9\\\\n_1=50\\\\n_2=39$

Using formula:

$\to (\bar{x_1} -\bar{x_2}) \pm t \sqrt{\frac{(s_1)^2}{n_1}+\frac{(s_1)^2}{n_2}} \\\\$

Put the values in the above formula:

$\to (7.1-8.3) \pm 1.665 \sqrt{\frac{(1.7)^2}{50}+\frac{(1.9)^2}{39}} \\\\$

4 0

2 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

2 years ago

(5 hundreds 5 tens) ×10 explain

dezoksy [38]

550×10 I think how do you want it to be explained

7 0

3 years ago

A. Y=-1/2x+2<br> B. Y=1/2x+2<br> C. Y=-2x-3<br> D. Y=2x-6

hjlf

Answer:

B: Y=1/2×+2 I think that's it

3 0

2 years ago