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grandymaker [24]
3 years ago
8

1.

Mathematics
1 answer:
weeeeeb [17]3 years ago
5 0

Answer:

width = 2v - 19

Step-by-step explanation:

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Step-by-step explanation:

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Simora [160]

Step-by-step explanation:

\angle{1} = 77° because they are vertical angles.

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Textbook prices have a seasonal structure on Ebay. At the end of a term, the supply of used books outstrips demand, and the pric
TiliK225 [7]

Answer:

(1)$68.02

(2)

a.) P(x\geq 2)=0.76

b.) P(x\geq 3)=0.5

c.) P(x> 3)=0.38

d.) P(x< 2)=0.24

e.) P(x\leq  2)=0.5

f)\mu=2.72

g)\sigma=1.33

Step-by-step explanation:

<u>Question 1</u>

The probability distribution table for the average price of the textbook sales in each of these three time periods is given below:

\left|\begin{array}{c|c|c|c}&$Start-of-term&$End-of-term&$Other\\$Sales proportion&0.45&0.31&0.24\\$Average price&\$82.52&\$49.12&\$65.23\end{array}\right|

We are required to calculate the average price of the textbook over all seasons.

Expected Value

= (0.45 X 82.52)+(0.31 X 49.12) +(0.24 X 65.23)\\=68.02

The average price of the textbook over all seasons is $68.02

<u>Question 2</u>

Distribution Table for Number of Courses being taken by BHCC Students

\left|\begin{array}{c|ccccc}x$(No of classes)& 1&2&3 &4&5\\P(x)&0.24&0.26&0.12&0.3 &0.08\end{array}\right|

a.) Probability that a student is taking 2 or more classes

P(x\geq 2)=0.26+0.12+0.3+0.08=0.76

b.) Probability that a student is taking at least 3 classes

P(x\geq 3)=0.12+0.3+0.08=0.5

c.) Probability that a student is taking more than 3 classes

P(x> 3)=0.3+0.08=0.38

d.) Probability that a student is taking less than 2 classes

P(x< 2)=0.24

e.) Probability that a student is taking no more than 2 classes

P(x\leq  2)=0.24+0.26=0.5

f)Average (mean) amount of classes

=(1*0.24)+(2*0.26)+(3*0.12)+(4*0.3)+(5*0.08)\\\mu=2.72

g)Standard deviation for the amount of classes

\left|\begin{array}{c|ccccc|c}x$(No of classes)& 1&2&3 &4&5&Sum\\x-\mu&-1.72&-0.72&0.28&1.28&2.28\\(x-\mu)^2&2.9584&0.5184&0.0784&1.6384&5.1984\\P(x)&0.24&0.26&0.12&0.3 &0.08\\--&--&---&---&--&--&--\\(x-\mu)^2P(x)&0.71&0.13&0.01&0.49&0.42&1.76\end{array}\right|

Standard Deviation

=\sqrt{\sum(x-\mu)^2P(x)} \\=\sqrt{1.76} \\\sigma =1.33

7 0
3 years ago
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