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Soloha48 [4]
3 years ago
11

125% of a number is 65. Find the number

Mathematics
2 answers:
omeli [17]3 years ago
4 0
You divide 65 by 1.25 and get 52. that means 125% of 52 is 62. 52 is the answer.
DaniilM [7]3 years ago
4 0
65 multiply by 100 then divide by 125 = 52 this is the easiest way of doing it
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Is 2.6 bigger than 2.661
Sauron [17]
2.6 = 2.600
So, 2.6 is not bigger than 2.661
3 0
3 years ago
Read 2 more answers
What is the length of AA' , rounded to the nearest hundredth? Type a numerical answer is the space provided. Do not type spaces
inna [77]
Coordinate of A are (0,0)
Coordinates of A' are (5,2)

We can find the distance from A to A' using the distance formula:

AA'= \sqrt{(5-0)^{2}+ (2-0)^{2}  } \\  \\ 
AA'= \sqrt{25+4} \\  \\ 
AA'= \sqrt{29} \\  \\ 
AA'=5.39

Thus, rounded to nearest hundredth, AA' is equal to 5.39
3 0
3 years ago
An arithmetic sequence is defined by:a_1=-8a1​=−8a_n=a_{n-1}+4an​=an−1​+4What is the 7th term of the sequence?
oksian1 [2.3K]

Answer:

Step-by-step explanation:

5 0
3 years ago
4. What is the correct ratio for sin A?<br> A) 5/12<br> B) 12/13<br> C) 5/13<br> D) 13/12
maxonik [38]

Answer:

sin A = 12 /13

Step-by-step explanation:

Since this is a right triangle, we can use trig functions

sin A = opp / hyp

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5 0
3 years ago
The time that a randomly selected individual waits for an elevator in an office building has a uniform distribution over the int
rewona [7]

Answer:

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For the population, we have that:

Mean = 0.5

Standard deviaiton = 0.289

Sample of 12

By the Central Limit Theorem

Mean = 0.5

Standard deviation s = \frac{0.289}{\sqrt{12}} = 0.083

The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.

4 0
3 years ago
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