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3 years ago

10 POINTS!!! FULL ANSWER WITH FULL STEP BY STEP SOLUTION PLEASE

Mathematics

1 answer:

laila [671]3 years ago

5 0

A moderator opened up some room for me. See all the comments. Take care.

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Someone pls help me I will make you Brainly

julsineya [31]

Answer:

You say that everytime boy

Step-by-step explanation:

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3 years ago

Read 2 more answers

PLEASE HELP...!!!!!!!!!!

tangare [24]

Answer:

Step-by-step explanation:

You have all the information you need to find the area of the circle and then subtracting that from 77 you'll have the area of the rectangle and will be able to figure out the length and height by looking at the answer options.

So the area of a triangle is 1/2(b x h) or (b x h)/2 so the base is 6 and the height is 9 so the area is 54/2 which equals 27. 77 - 27 = 50 so the area of the rectangle is 50. With the answer options provided I can see that <em>the height of the rectangle is 5 and the length is 10.</em>

6 0

3 years ago

It is estimated that 91% of senior citizens suffer from sleep disorders and 9% suffer from anxiety. Moreover, 6% of seniors suff

Fofino [41]

The probability of senior citizens suffer from sleep disorders is

$P(A)=0.91$

The probability of senior citizens suffer from anxiety is,0.09.

$P(B)=0.09$

The probability of seniors suffer from both sleep disorders and anxiety is,

$P(A\cap B)=0.06$

a. The probability that a senior citizen suffers from anxiety, given that he or she has a

sleep disorder.

$P(A|B)=\frac{P(A\cap B)}{P(B)}$ $P(A|B)=\frac{0.06}{0.09}$ $P(A|B)=0.67$

8 0

2 years ago

Help me with questions #1,3,4, & 5

Klio2033 [76]

Q:3
Ans: 10.12 x 10 power -5
Q:4
Ans: 5/8
Q:5
Ans: - x cube and + x square

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4 years ago

The Director of Admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem

VMariaS [17]

Answer:

Variance = 24900

Standard Deviation = 157.7973

Step-by-step explanation:

We are given the following in the question:

Number of admissions: 1000 1200 1500

Admissions Probability: 0.6 0.3 0.1

Formula:

$E(x) = \displaystyle\sum x_iP(x_i)\\E(x) = 1000(0.6) + 1200(0.3) + 1500(0.1)\\E(x) = 1110\\E(x^2) = \displaystyle\sum x_i^2P(x_i)\\E(x^2) = (1000)^2(0.6) + (1200)^2(0.3) + (1500)^2(0.1)\\E(x^2) = 1257000$

Variance =

$\sigma^2 = E(x^2) - (E(x))^2\\\sigma^2 = 1257000 -(1110)^2\\\sigma^2 =24900$

Thus, the variance is 24900.

Standard Deviation =

$\sigma = \sqrt{\sigma^2} = \sqrt{24900} = 157.7973$

Thus, the standard deviation is 157.7973

7 0

3 years ago