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Tanzania [10]
3 years ago
7

A company pays its employees a base salary of $1000 every other week, plus $30 for each sale. How many sales did the employee ha

ve if the paycheck is $1720? A.22 sales B. 24 sales C. 26 sales D.28 sales
Mathematics
1 answer:
KiRa [710]3 years ago
7 0

Answer:

A. 24 sales

Step-by-step explanation:

We Know:

$1000 paycheck

$30 for every sale

1720 - 1000 = $720 (Sales cost total)

720 / 30 = 24 (sales)

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Amber, Bernie, and Carlos are working on a problem together. Their goal is to correctly apply the difference of cubes formula to
NeX [460]

Answer: Carlos is correct

Step-by-step explanation:

2x^5-250x^2

The first step is to factorize out 2x^2

2x^2(x^3-125)

This can be rewritten as

2x^2(x^3-5^3),

Recall, difference if cube (a^3-b^3)

= (a-b)(a^2 +ab + b^2)

from our equation,

a= x

b = 5.

So the difference of cubes will be

2x^2[(x-5) (x^2 + 5x + 5^2)]

=2x^2[(x-5) (x^2 + 5x + 25)]

Carlos followed these steps. So he is correct. Carlos is correct because he correctly factored the GCF, identified a and b, and applied the difference of cubes method.

Amber is incorrect because 125 is equal to b3, not b.

Bernie is incorrect because x2 is not the GCF of the polynomial. The GCF is 2x^2.

6 0
3 years ago
The probability mass function of X is f(x)= 1/6, x 1.2...,6 then find out the value
Mumz [18]

For the given probability mass function of X, the mean is 3.5 and the standard deviation is 1.708.

  • A discrete random variable X's probability mass function (PMF) is a function over its sample space that estimates the likelihood that X will have a given value. f(x)=P[X=x].
  • The total of all potential values for a random variable X, weighted by their relative probabilities, is known as the mean (or expected value E[X]) of that variable.
  • Mean(μ) = 1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6).
  • Mean(μ) = (1+2+3+4+5+6)/6
  • Mean(μ) = 21/6
  • Mean(μ) = 3.5
  • The square root of the variance of a random variable, sample, statistical population, data collection, or probability distribution represents its standard deviation. It is denoted by 'σ'.
  • A random variable's variance (or Var[X]) is a measurement of the range of potential values. It is, by definition, the squared expectation of the distance between X and μ. It is denoted by 'σ²'.
  • σ² = E[X²]−μ²
  • σ² = [1²(1/6) + 2²(1/6) + 3²(1/6) + 4²(1/6) + 5²(1/6) + 6²(1/6)] - (3.5)²
  • σ² = [(1² + 2²+ 3² + 4²+ 5²+ 6²)/6] - (3.5)²
  • σ² = [(1 + 4 + 9 + 16 + 25 + 36)/6] - (3.5)²
  • σ² = (91/6) - (3.5)²
  • σ² = 15.167-12.25
  • σ² = 2.917
  • σ = √2.917
  • Standard deviation (σ) = 1.708

To learn more about variance, visit :

brainly.com/question/14116780

#SPJ9

6 0
2 years ago
Can i plz have some help with this
Klio2033 [76]

Answer:

I think they're vertical angles

x~Shaun

4 0
3 years ago
Read 2 more answers
Solve for x in the equation;3x +34x -40x=0
saveliy_v [14]

Answer:

x=0

Step-by-step explanation:

3x + 34x - 40x = 0

37x - 40x = 0

-3x = 0

x=0

5 0
3 years ago
A rectangle has an area of 7/8 square feet. If the rectangle has a width of 3/4 foot, what is the length of the rectangle?
blagie [28]

Answer:

i think its b

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
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