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Semmy [17]
3 years ago
13

What is the decimal equivalent of 10/3? its more than 1 and its not 3.3333 or 0.3 HELP PLS>

Mathematics
1 answer:
Rama09 [41]3 years ago
3 0

Answer:

it should be 3.3 repeating but maybe your teacher has it as 3.34?

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Apothem =<br> Side =<br> Radius =<br> Perimeter =<br> Area =
Dafna11 [192]

Answer:

I dont understand th equestion

Step-by-step explanation:

4 0
3 years ago
More math sorry. But I honestly don’t know any of these
DIA [1.3K]

Answer: A

Step-by-step explanation:

The main parent functions are x, and x raised to the power of something (examples: x^2, x^3, x^4, etc)

8 0
3 years ago
Help please !! Thank u
leonid [27]

Answer:

parallel = same slope (-2x)

so it's y=-2x + b

let's find b by plugging in 1 for x and 3 for y (the coordinates)

3 = -2*1 + b

3 = -2 + b

5 = b

there you have it:

y = -2x +5

brainliest would really be appropriated (possible when someone else also leaves an answer)

4 0
3 years ago
The following condensed information was reported by Peabody Toys, Inc., for 2021 and 2020: ($ in thousands) 2021 2020 Income sta
never [62]

Answer:

The answers are given below.

Step-by-step explanation:

The computation is shown below:

1.a.

Profit Margin = Net Income ÷ Sales × 100

= $374 ÷ $6,900 ×100

= 5.4%

1-b:

Average Assets = (Beginning Assets + Ending Assets) ÷ 2

= ($3,200 + $3,600)  ÷ 2

= $3,400

Now  

Return on Assets = Net Income ÷ Average Assets

= $374 ÷ $3,400

= 11%

1-c

Average Equity = ($700 + $700 + $320 + $270) ÷ 2

= $995

Now  

Return on Equity = Net Income ÷  Average Equity *100

= $374 ÷ $995

= 37.59%

2:

Dividends Paid = Beginning Retained Earnings + Net Income – Ending Retained Earnings

= $270 + $374 - $320

= $324

4 0
3 years ago
We test for a hypothesized difference between two population means: H0: μ1 = μ2. The population standard deviations are unknown
Lina20 [59]

Answer:

The degrees of freedom associated with the critical value is 25.

Step-by-step explanation:

The number of values in the final calculation of a statistic that are free to vary is referred to as the degrees of freedom. That is, it is the number of independent ways by which a dynamic system can move, without disrupting any constraint imposed on it.

The degrees of freedom for the t-distribution is obtained by substituting the values of n1​ and n2​ in the degrees of freedom formula.

Degrees of freedom, df = n1​+n2​−2

                                       = 15+12−2=27−2=25​

Therefore, the degrees of freedom associated with the critical value is 25.

4 0
3 years ago
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