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3 years ago

For each figure, which placement of the axes shown would be the best to prove properties about the object?

Mathematics

1 answer:

xxMikexx [17]3 years ago

4 0

Answers:
1) Rectangle: Right
2) Circle: Left
3) Equilateral Triangle: Right
4) Isosceles Triangle: Middle
5) Trapezoid: Middle

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Rectangle JKLM is rotated 90° clockwise about the origin.

shusha [124]

Answer:

Clockwise rotation 90 ° about origin

R_{90, clockwise, origin}(x,y) -> (y,-x)

J(-4,1) therefore

R_{90, clockwise, origin}J(-4,1) -> J'(1,+4) this answer was form other person credits to him/her

Step-by-step explanation:

4 0

2 years ago

12. The weight of 7 chocolate bars in grams are 131, 127,125,127,133,129 and 127

Amanda [17]

Answer:

The range is from 125 to 133.

Step-by-step explanation:

That's the lowest and highest the weights go, therefore the range is from 125 and anything in between up to 133.

7 0

3 years ago

~[~p/\(q\/~p)] true or false

iren [92.7K]

I believe you're answer is false.

6 0

3 years ago

B. How many faces does a cube have? 아

Olin [163]

Cube have 6 faces.

hope it helps

4 0

2 years ago

Read 2 more answers

A manufacturer of banana chips would like to know whether its bag filling machine works correctly at the 402 gram setting. It is

lidiya [134]

Answer:

The value of t test statistics is -2.25.

Step-by-step explanation:

We are given that a manufacturer of banana chips would like to know whether its bag filling machine works correctly at the 402 gram setting. It is believed that the machine is under filling the bags.

A 25 bag sample had a mean of 393 grams with a standard deviation of 20.

Let $\mu$ = mean filling of bags by the machine.

So, Null Hypothesis, $H_0$ : $\mu \geq$ 402 gram {means that the the machine is not under filling the bags}

Alternate Hypothesis, $H_A$ : $\mu$ < 402 gram {means that the the machine is under filling the bags}

The test statistics that would be used here One-sample t test statistics as we don't know about the population standard deviation;

T.S. = $\frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }$ ~ $t_n_-_1$

where, $\bar X$ = sample mean bag filling = 393 grams

s = sample standard deviation = 20 grams

n = sample of bags = 25

So, test statistics = $\frac{393-402}{\frac{20}{\sqrt{25} } }$ ~ $t_2_4$

= -2.25

The value of t test statistics is -2.25.

5 0

2 years ago