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Ne4ueva [31]
2 years ago
14

PLEASE HELP!!! ill give you brainlest:)) TPWK!!!

Mathematics
2 answers:
Ipatiy [6.2K]2 years ago
5 0
14-6=8
3*6=18
8*8=64
64+18=82
The answer is 82 square meters
docker41 [41]2 years ago
4 0

Answer:

82m²

Step-by-step explanation:

split it into a rectangle and square

3x6=18

8x8=64

total area = 82

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a windscreen wiper of a vehicle of length 30 cm clears out an angle of 180 degrees what is the area of the screen cleared take p
zavuch27 [327]

Answer:

Therefore the area of the screen cleared is 1414.28 cm².

Step-by-step explanation:

Given:

a windscreen wiper of a vehicle of length 30 cm

Consider this length as Radius of Semicircle, r = 30 cm

clears out an angle of 180 degrees implies Semicircle Shape

pie=22/7

To Find:

Area of the screen cleared ​

= ?

Solution:

We have

\textrm{Area of Semicircle}=\frac{1}{2}\pi(radius)^{2}

Substituting r and pie we get

\textrm{Area of Semicircle}=\frac{1}{2}\times \frac{22}{7}(30)^{2}=1414.28\ cm^{2}

Therefore the area of the screen cleared is 1414.28 cm².

7 0
3 years ago
If 17 bumper stickers cost $13.94, then 11 bumper stickers cost?
Lady bird [3.3K]
$9.02 because if you divide 13.94 by 17 you get 0.82, the price per sticker, then multiply that by 11 to find the price of 11 stickers. 
6 0
3 years ago
Read 2 more answers
Which statements are true?
Gwar [14]
See the attached picture:

3 0
3 years ago
The scale on a map of Roswell, New Mexico is 1 inch : 0.5 mile. If two buildings in Roswell are 2.3 miles apart in real life, th
Nataly_w [17]

Im not too sure but I think its 4.6,because 1 in :.5 mile. As a whole, .5 can go into 2, 4 times, then whats left over also gets divided into .6. Add those together and youll get 4.6

4 0
3 years ago
) One year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million. Suppose a samp
Nutka1998 [239]

Answer:

Probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

Step-by-step explanation:

We are given that one year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million.

Suppose a sample of 400 major league players was taken.

<em>Let </em>\bar X<em> = sample average salary</em>

The z-score probability distribution for sample mean is given by;

                 Z = \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} }  ~ N(0,1)

where, \mu = mean salary = $1.5 million

            \sigma = standard deviation = $0.9 million

             n = sample of players = 400

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the average salary of the 400 players exceeded $1.1 million is given by = P(\bar X > $1.1 million)

    P(\bar X > $1.1 million) = P( \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} } >  \frac{ 1.1-1.5}{{\frac{0.9}{\sqrt{400} } }} } ) = P(Z > -8.89) = P(Z < 8.89)

<em>Now, in the z table the maximum value of which probability area is given is for critical value of x = 4.40 as 0.99999. So, we can assume that the above probability also has an area of 0.99999 or nearly close to 1.</em>

Therefore, probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

4 0
3 years ago
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