26.6 is what percent of 53.2?

Mathematics

1 answer:

jekas [21]2 years ago

4 0

Answer:

Step-by-step explanation:

26.6/53.2 = 0.5 = 50%

26.6 is 50% of 53.2

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-2+4(-x+4)=10 using distributive property and collecting like terms

stich3 [128]

Answer:

Step-by-step explanation:

$-2+4(-x+4)=10\qquad\text{use the distributive property:}\ a(b+c)=ab+ac\\\\-2+(4)(-x)+(4)(4)=10\\\\-2-4x+16=10\qquad\text{combine like terms}\\\\-4x+(-2+16)=10\\\\-4x+14=10\qquad\text{subtract 14 from both sides}\\\\-4x+14-14=10-14\\\\-4x=-4\qquad\text{divide both sides by (-4)}\\\\\dfrac{-4x}{-4}=\dfrac{-4}{-4}\\\\x=1$

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3 years ago

The set of all positive integers that are divisible by both 15 and 35 is infinite. What is the least positive integer in this se

solniwko [45]

Answer:

105

Step-by-step explanation:

A "set" is a group of numbers.

A "positive integer" is a whole number that's bigger than zero.

"divisible by both 15 and 35" means a number that 15 and 35 goes into (with no remainder)

"least" means smallest.

15 and 35 both go into 105.

3 0

2 years ago

Solve for: lim x>0- ((x+deltaX)^2+x+deltaX-(x^2+x))/deltaX

Alex Ar [27]

2(x + delta x) = 2x + 2 delta x
so on top you have 2x + 2 delta x - 2x
which is 2 delta x
the delta x cancels out and you are left with just 2

so the limit is 2

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3 years ago

The population of scores on a nationally standardized test forms a normal distribution with μ = 300 and σ = 50. If you take a ra

madreJ [45]

Answer:

$P(\bar X$

And using a calculator, excel or the normal standard table we have that:

$P(Z$

Step-by-step explanation:

Previous concepts

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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solution to the problem

Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:

$X \sim N(300,50)$