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2 years ago

DO NOT GIVE ME ANY PDFS IF YOU DO I WILL REPORT YOU IF YOU ANSWER CORRECTLY I WILL GIVE YOU BRAINLIEST

Mathematics

1 answer:

OverLord2011 [107]2 years ago

7 0

Answer:

well babie's only are born with hair is rare cause useally ther are born bald but yes some are born with hair but that could mean a disease or somthing else but thats a maybe so thats just means disease could cause it or its natural and thats all hope this help's

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Which trail is the closest in length to 10.5 kilometers?

Yuliya22 [10]

First of all you calculate the difference between the numbers:
10.5 - 10.653 = -0.153
10.5 - 10.592 = -0.092
10.5 - 10.732 = -0.232
10.5 - 10.484 = 0.016

You then select the difference with the smallest number (ignoring the positive and negative symbols). That happens to be the last one.

This means that the answer will be D) Spruce Trail.

4 0

3 years ago

Solve for x.<br> Greatly appreciate all efforts :)

Lelu [443]

Answer:

x = 11

Step-by-step explanation:

ΔLKM is an equilateral because a triangle with all 3 sides that are congruent is an equilateral triangle.

Angles in an equilateral triangle are all 60°.

Thus, ∠L = 60°.

=> 3x + 27 = 60

=> 3x = 33

=> x = 11

8 0

3 years ago

Read 2 more answers

How to simpfly fractions?<br> -Step by step <br> -Answer 15/36

Mumz [18]

Answer:

5/12

Step-by-step explanation:

15÷3/36 ÷3

the answer is 5/12

4 0

2 years ago

Read 2 more answers

Suppose 52% of the population has a college degree. If a random sample of size 563563 is selected, what is the probability that

amm1812

Answer:

The value is $P(| \^ p - p| < 0.05 ) = 0.9822$

Step-by-step explanation:

From the question we are told that

The population proportion is $p = 0.52$

The sample size is n = 563

Generally the population mean of the sampling distribution is mathematically represented as

$\mu_{x} = p = 0.52$

Generally the standard deviation of the sampling distribution is mathematically evaluated as

$\sigma = \sqrt{\frac{ p(1- p)}{n} }$

=> $\sigma = \sqrt{\frac{ 0.52 (1- 0.52 )}{563} }$

=> $\sigma = 0.02106$

Generally the probability that the proportion of persons with a college degree will differ from the population proportion by less than 5% is mathematically represented as

$P(| \^ p - p| < 0.05 ) = P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 ))$

Here $\^ p$ is the sample proportion of persons with a college degree.

$P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 )) = P(\frac{[[0.05 -0.52]]- 0.52}{0.02106} < \frac{[\^p - p] - p}{\sigma } < \frac{[[0.05 -0.52]] + 0.52}{0.02106} )$