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2 years ago

Please please help need this ASAP!!! a will mark brainliest to whoever can answer quickly please!

Mathematics

1 answer:

vampirchik [111]2 years ago

4 0

Answer:

the first one i think is a reflection over the x-axis

for the last on question 9 A, I think it's a 90-degree rotation counterclockwise

your coordinates for part B on would be -4,7 and -6,13

and then for part B on the last question, i think your coordinates would be -5,4

Step-by-step explanation:

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Help please and thaank you

finlep [7]

Last one D

Step-by-step explanation:

8 0

2 years ago

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Send help , 20 points !!<br> what is 1 and 2/9 minus 3 and 1/3

astraxan [27]

Answer:

-1 and 8/9

Step-by-step explanation:

3 0

3 years ago

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Please help me ASAP <br> Please help

son4ous [18]

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Answer:

5 cm

Step-by-step explanation:

The kite is symmetrical about the long axis, so the height of each of the triangles is half the overall width of the kite. (10 cm/2 = 5 cm)

The height of the triangle <em>h</em> is 5 cm.

3 0

2 years ago

Which expression can be used to model the statement “On Wednesday, Nathaniel earned $10 less than he earned on Tuesday”?

Nostrana [21]

Answer:

n mimus 10

Explicacion paso a paso:

6 0

2 years ago

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Find the minimum sample size needed to estimate the percentage of Democrats who have a sibling. Use a 0.1 margin of error, use a

Brums [2.3K]

Answer:

The minimum sample size is $n =135$

Step-by-step explanation:

From the question we are told that

The confidence interval is $( lower \ limit = \ 0.44,\ \ \ upper \ limit = \ 0.51)$

The margin of error is $E = 0.1$

Generally the sample proportion can be mathematically evaluated as

$\r p = \frac{ upper \ limit + lower \ limit }{2}$

$\r p = \frac{ 0.51 + 0.44}{2}$

$\r p = 0.475$

Given that the confidence level is 98% then the level of significance can be mathematically evaluated as

$\alpha = 100 - 98$

$\alpha = 2\%$

$\alpha =0.02$

Next we obtain the critical value of $\frac{\alpha }{2}$ from the normal distribution table

The value is

$Z_{\frac{\alpha }{2} } = 2.33$

Generally the minimum sample size is evaluated as

$n =[ \frac { Z_{\frac{\alpha }{2} }}{E} ]^2 * \r p (1- \r p )$

$n =[ \frac { 2.33}{0.1} ]^2 * 0.475(1- 0.475 )$

$n =135$

6 0

3 years ago