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3 years ago

Perimeters of rectangles and conversions

Mathematics

1 answer:

Orlov [11]3 years ago

8 0

Answer:

To find the perimeter of a rectangle use this formula: 2a + 2b

a is one side

b is the other side

Hope this helps :) Brainliest is greatly appreciated.

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A sample size of 500 is sufficiently large enough to conclude that the sampling distribution of the sample proportions is a norm

Paha777 [63]

In a statistical test, the null hypothesis to be made is that the sample proportions do not have any significant differences, which means an equal distribution. This is only rejected when the estimate is equal or less than 0.95. But since in this case it is >0.95, so therefore the null hypothesis is not rejected. Therefore:

False

7 0

2 years ago

I WILL GIVE YOU BRAINLIEST, AND 30 POINTS SO PLEASE HELP ME, IT'S URGENT!

IRINA_888 [86]

Answer:

Answer is option b)

${(x - 3)}^{2} + {(y - 4)}^{2} = 400$

Your guess was right.

Step-by-step explanation:

$the \: question \: states \: that \: \\ distance \: between \: two \: points \: is \: 20 \: units \: \\ and \: the \: two \: points \: are \: (x,y) \: \: and \: \: (3 ,- 4) \\ distance \: formula \\ = \sqrt{ {(x1 - x2) }^{2} + {(y1 - y2)}^{2} } \\ on \: substituting \: the \: values \: in \: formula \\ 20 = \sqrt{ {(x - 3)}^{2} + {(y - ( - 4))}^{2} } \\ 20 = \sqrt{ {(x - 3)}^{2} + {(y + 4)}^{2} } \\ now \: squaring \: on \: both \: sides \\ 400 = {(x - 3)}^{2} + {(y + 4)}^{2} \\ hence \: the \: answer \: is \: option \: b)$

HAVE A NICE DAY!

THANKS FOR GIVING ME THE OPPORTUNITY TO ANSWER YOUR QUESTION. 

6 0

2 years ago

Suppose that y is inversely proportional to square root of x.

FromTheMoon [43]

Answer:

i) k = 36.8

ii)y = 36.8/square root of x

iii)y = 1.4

Step-by-step explanation:

If y is inversely proportional to square root of x;

then the two variables are related by,

y = k/ square root of x

i)Value of k when...x = 8 and y = 13,

substitute into the equation above..so as to find the value of k

13 = k/square root of 8

;k = 13 × square root of 8

;k = 36.8

ii)Then substitute the value of k with...36.8

y = 36.8/square root of x

iii)If x = 27...then y =;

y = 36.8/27

y = 1.4

7 0

2 years ago

Which is better: having a stock that goes up 30% on Wednesday than drops 20% on Thursday, or a stock

finlep [7]

Step-by-step explanation:

If the stock goes up 30%, it's multiplied by $1.3$ .

The reason is that $x + .3 \times x=1.3\times x$

If the stock goes down 20%, it's multiplied by $0.8$

The reason is that $x - .2 \times x = 0.8 \times x$

If the stock goes down 30%, it's multiplied by $0.7$

The reason is that $x - .3 \times x = 0.7 \times x$

If the stock goes up 40%, it's multiplied by $1.4$ .

The reason is that $x + .4 \times x=1.4\times x$

If you increase it by 30% and then drop it by 20%, it means you are multiplying it by $1.3$ and then multiplying it by $.8$ . In other words:

$1.3 \times 0.8=1.04$

So, the net gain is = .04

Assume the original value = 500

Increase it by 30% and it becomes 650

Decrease 650 by 20% and it becomes 520

So, the net gain = 20

Verification:

$500 \times .04=20$

And

If you drop it by 30% and then increase it by 40%, you are multiplying it by .7 and then multiplying it by 1.4. In other words:

$.7 \times 1.4=0.98$

So, the net loss is = 1 - 0.98 = .02

Assume the original value = 500

Decrease it by 30% and it becomes 350.

increase 350 by 40% and it becomes 490.

So, the net loss is = 10

Verification:

$500 \times .02=10$

Keywords: stock, loss, gain

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5 0

2 years ago

As part of his semester project, a BYU-Idaho Introductory Statistics student calculates a 95% confidence interval for the true p

lyudmila [28]

Answer:

a. There's a 95% chance that the true proportion is in the confidence interval.

Step-by-step explanation:

When we want to estimate a property of a population (a population's parameter), without surveying the population, we use samples.

Then, with the information of the samples we can calculate the statistics and infere properties about a population. This inferences obviously came with some uncertainty, depending on the properties of the sample and specially the sample size.

When we talk about confidence intervals, we use the statistic of the sample (in this case, the mean) to estimate a range of values it is expected to find the true mean of the population. The width of this interval depends on the sample standard deviation and the sample size.

The value of the confidence interval (95%, 99%, etc) represent the probabilty that the true mean is within this interval.

3 0

3 years ago