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Allisa [31]
3 years ago
11

Please help me with this ​

Mathematics
2 answers:
yarga [219]3 years ago
5 0

Answer:

hope it helps uh

mark as brianlist answer

AnnyKZ [126]3 years ago
4 0

Answer:

Step-by-step explanation:

sum of ∠QPR and ∠RPS is 180 as ∠QPS is a straight line

6x + 11 + 7x + 143 = 180   {add like terms}

13x + 154 =180

13x = 180 - 154

13x = 26

x = 26/13

x = 2

∠RPS = 6x + 11 = 6*2 +11 = 12 + 11 = 23°

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The equation is 2(3.14)(11.5) because 11.5 is half of 23
they multiply and you get: 72.22
Hope this helps! :D
4 0
3 years ago
I need help please.
Zarrin [17]

Answer:

i think this is it

Step-by-step explanation:

the answer i got is just 55

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3 years ago
K +-23 = -100<br>help me
Alex_Xolod [135]

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Which expression shows 36 + 63 as the product of their greatest common factor and the sum of two whole numbers with no common fa
jarptica [38.1K]

Hey!

Hope this helps...

~~~~~~~~~~~~~~~~~~~~~~~~~~

The first thing we know is that all the answers equal 99, so we cannot cross any answer off, however, what we want to know is what answer (after distribution) looks like 36 + 63...

A.) 11(3 + 6) > 33 + 66

Does 33+66 look like 36+63?

NO

B.) 9(4 + 7) > 36 + 63

Does 36+63 look like 36+63?

YES

C.) 11(4 + 5) > 44 + 55

Does 44+55 look like 36+63?

NO

D.) 3(15 + 18) > 45 + 54

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4 0
3 years ago
Is the mean age at which American children learn to walk less than 15 months? A study of 40 American children found a mean walki
Sonbull [250]

Answer:

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Null hypothesis: \mu \geq 15

Alternative hypothesis: \mu

And for this case the best answer would be:

H 0 : μ ≥ 15 vs. Ha : μ < 15

Step-by-step explanation:

We define the random variable X as the walking age and we are interested if American children learn to walk less than 15 months so then that would be the alternative hypothesis and the complement would be the null hypothesis.

Null hypothesis: \mu \geq 15

Alternative hypothesis: \mu

And for this case the best answer would be:

H 0 : μ ≥ 15 vs. Ha : μ < 15

And the data given from the sample is:

\bar X = 13.2 represent the sample mean

\sigma represent the population deviation

n = 40 represent the sample size

And the statistic would be given by:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

8 0
3 years ago
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