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3 years ago

Please hurry it’s about to be due

Mathematics

1 answer:

alekssr [168]3 years ago

7 0

Answer:

a,c,e

Step-by-step explanation:

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Which series of transformations maps △ABC to △A′B′C′?

denis-greek [22]

Answer:

Step-by-step explanation:

If you translate left one unit, then reflect across the x axis, you get the ending figure

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3 years ago

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$893.996 rounded to the nearest cent

Fed [463]

Answer:

$893.666 rounded to the nearest cent is $894.00

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3 years ago

On James’s MP3 player, he has 12 sad songs and 40 upbeat songs that he wants to put into playlists. He wants to have the same nu

Paul [167]

4 playlists is the correct answer

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3 years ago

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In step one do you found the volume (in cubic feet) of the main tank(359,006.67). The maximum density of killer whales per cubic

Luba_88 [7]

Answer:

4 killer whales

Step-by-step explanation:

The dimensional analysis is ...

(whales/ft³)(ft³/tank) = whales/tank

Putting the numbers with the units, we get ...

(1.1142·10^-5 whales/ft³)(3.5900667·10^5 ft³/tank) = 4.00005... whales/tank

The maximum number of killer whales allowed in the main show tank is 4.

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3 years ago

A consumer organization inspecting new cars found that many had appearance defects (dents, scratches, paint chips, etc.). While

Murljashka [212]

Answer:

The expected number of appearance defects in a new car = 0.64

standard deviation = 0.93(approximately)

Step-by-step explanation:

Given -

7% had exactly three, 11% exactly two, and 21% only one defect in cars.

Let X be no of defects in a car

P(X=3) = .07 , P(X=2) = .11 , P(X=3) = .21

P(X=0 ) = 1 - .07 - .11 - .21 = 0.61

The expected number of appearance defects in a new car =

E(X) = $\nu$ = $= \sum X P(X) =3\times 0.07 + 2\times0.11 + 3\times0.21 + 0\times0.61$ = 0.64

$\sigma^{2}$ = variation of E(X) = $\sum (X - \nu) ^{2}P(X)$ = $(3 - 0.64) ^{2}\times0.07 + (2 - 0.64) ^{2}\times0.11 + (1 - 0.64) ^{2}\times0.21 + (0 - 0.64) ^{2}\times0.61$

= $(2.36) ^{2}\times0.07 + (1.36) ^{2}\times0.11 + (.36) ^{2}\times0.21 + ( 0.64) ^{2}\times0.61$ = 0.8704

standard deviation = $\sqrt{\sigma^{2}}$ = $\sqrt{0.8704^{2}}$ = 0.93(approximately)

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3 years ago