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maks197457 [2]
3 years ago
10

ALMN is a right triangle.

Mathematics
1 answer:
GarryVolchara [31]3 years ago
4 0

Answer:

this is true since a right triangle has one side that is 90 degrees

Hope This Helps!!!

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Divide £550 in the ratio 4:7
kkurt [141]

Answer:

4:7= 11

550 ÷11= 50

thats the answer

6 0
3 years ago
What's up, my mammals? This is Sid the sloth from the movie "Ice Age". And we're about to do this new dance, the "Continental Dr
Bogdan [553]

Answer:

this question > any other question

Step-by-step explanation:

4 0
4 years ago
What times 3/8 equals 1 whole
Elis [28]

\frac{8}{3} times \frac{3}{8} equals 1

Solution:

Given expression is at what times \frac{3}{8} equals the whole.

Whole means 1 in a fraction.

Let us take the number of times be x.

x\times\frac{3}{8} =1

Multiply by \frac{8}{3} on both sides of the equation.

x\times\frac{3}{8}\times\frac{8}{3}  =1\times\frac{8}{3}

x\times\frac{24}{24} =1\times\frac{8}{3}

x\times\frac{24}{24} =\frac{8}{3}

x\times1 =\frac{8}{3}

x =\frac{8}{3}

Hence the fraction \frac{8}{3} times \frac{3}{8} equals 1.

5 0
3 years ago
2. You have just signed an annual contract with TELUS for a cell phone. The base rate is $22 per month and $0.44 per minute. The
Drupady [299]
Y=0.44x+22 would work I'm pretty sure
6 0
4 years ago
It is reported that 25% of the flights arriving at the Washington Dulles airport in January 2008 were late. Assume the populatio
lawyer [7]

Answer:

P(0.22

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

For this case the standard error is given by:

SE =\sqrt{\frac{p(1-p)}{n}} =\sqrt{\frac{0.25(1-0.25)}{625}}=0.0173

Solution to the problem

For this case we want to find the probability that the sample proportion will be within +-.03 of the population proportion like this:

P(0.25-0.03 < p< 0.25+0.03) =P (0.22

And for this case we can use the following z score:

z = \frac{\hat p - p}{SE_{p}}

And using this formula we got:

P(0.22

And we can find this probability like this:

P(-1.732

8 0
3 years ago
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