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2 years ago

When converted to a household measurement, 9 kilograms is approximately equal to a

Mathematics

2 answers:

Tresset [83]2 years ago

6 0

Answer:

<u> 35.274 ounces</u>

Step-by-step explanation:

when converted to a household measurement 9 kg is equal to 1kg in household measurement is equal to 35.274 ounces. 35.274*9=317.466 ounces.

<em>Hope this helps :) </em>

<em> Pls mark brainliest :3 </em>

<em> And have an amazing day <3</em>

ruslelena [56]2 years ago

4 0

Answer:

D) 19.8 lbs

Explanation:

1kg in household measurement is equal to 35.274 ounces. 35.274*9=317.466 ounces.

1kg is also equal to 2.205 lbs. 9*2.205=19.8416

9 kg is also equal to 9000 grams, but grams are not a part of the household measurement system

a) 9000 grams. b) 9000 ounces. c) 19.8 ounces. d) 19.8 pounds.

This leaves us with 19.8 lbs

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What is the value of the expression 2x2+3xy-y2, when x=2 And y=-4

Otrada [13]

Plug in 2 for x, and -4 for y

2(2)² + 3(2)(-4) - (-4)²

2² = 4(2) = 8
3(2) = 6(-4) = -24
-4² = 16

8 - 24 - 16 = answer

Simplify.

answer = 8 - 40
answer = -32

-32 is your answer

hope this helps

7 0

3 years ago

State. Probability sampling vs. non probability sampling

Savatey [412]

Probability sampling simply illustrates a scenario where the subjects of the population have an equal opportunity.

<h3>What is probability sampling?</h3>

Probability simply means the likelihood of the occurence of an event.

In this case, in probability sampling, the subjects of the population have an equal opportunity.

In non-sampling, an equal opportunity isn't given.

Learn more about probability on:

brainly.com/question/24756209

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5 0

2 years ago

You are curious about the average number of yards Matthew Stafford throws for each game for the Detroit Lions. You randomly sele

Damm [24]

Answer:

The margin of error for this estimate is of 14.79 yards per game.

Step-by-step explanation:

We have the standard deviation for the sample, which means that the t-distribution is used to solve this question.

T interval

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 20 - 1 = 19

95% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 19 degrees of freedom(y-axis) and a confidence level of $1 - \frac{1 - 0.95}{2} = 0.975$ . So we have T = 2.093

The margin of error is:

$M = T\frac{s}{\sqrt{n}}$

In which s is the standard deviation of the sample and n is the size of the sample.

You randomly select 20 games and see that the average yards per game is 273.7 with a standard deviation of 31.64 yards.

This means that $n = 20, s = 31.61$

What is the margin of error for this estimate?

$M = T\frac{s}{\sqrt{n}}$

$M = 2.093\frac{31.61}{\sqrt{20}}$

$M = 14.79$

The margin of error for this estimate is of 14.79 yards per game.

3 0

3 years ago

Please help!!! I very much need help, thank you!

Ilya [14]

The Pythagorean theorem tells you the square of the hypotenuse is equal to the sum of the squares of the sides.
BC² = AB² + AC²
BC² = 4² +4² = 32
BC = √32 = 4√2
BC = 4*1.41 = 5.64

The length of segment BC is 5.64 m.

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3 years ago

Acellus

kkurt [141]

Answer:

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Step-by-step explanation:

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2 years ago