Answer:
A) 56 . . . . . . the (negative) sum of -7 and -49
b) 112 . . . . . the product of 7 and 16
c) 16 . . . . . . the square of 8/2
Answer: The required inequality is
and its solution is 
Step-by-step explanation: Given that Mustafa, Heloise, and Gia have written more than a combined total of 22 articles for the school newspaper.
Also, Heloise has written
as many articles as Mustafa has and Gia has written
as many articles as Mustafa has.
We are to write an inequality to determine the number of articles, m, Mustafa could have written for the school newspaper. Also, to solve the inequality.
Since m denotes the number of articles that Mustafa could have written. Then, according to the given information, we have

And the solution of the above inequality is as follows :

Thus, the required inequality is
and its solution is 
Answer:
b. Divide the quantity of output by the number of hours worked.
Step-by-step explanation:
<em>Since the ratio of the number of output to the number of hours worked shows the productivity. </em>
Thus, option (b) is correct.
Productivity is used to converting inputs into useful output. It measures the efficiency of a person, system, machine, factory, etc.
For Example: The employee who works less hours and assembled more radios has more productivity, that employee knows how to utilize time.
Answer:
Store A offers the least amount for the sofa
Step-by-step explanation:
Cost of sofa =$500
For store A
Discount =20% off
The amount of the discount is
=20/100*500
=0.2*500
=$100
6.5% sales tax
The amount of tax is
=6.5/100*500
=0.065*500
=$32.5
Total cost of the sofa
=500-100+32.5
=400+32.5
=$432.5
For store B
Discount =30% off
The amount of the discount is
=30/100*500
=0.3*500
=$150
Shipping fee $85
Total cost of sofa
=500-150+85
=350+85
=$435
Answer:
0.38% probability that the sample contains exactly two defective parts.
Step-by-step explanation:
For each part, there are only two possible outcomes. Either it is defective, or it is not. The probabilities for each part being defective are independent from each other. So we use the binomial probability distribution to solve this problem.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
In this problem we have that:

What is the probability that the sample contains exactly two defective parts?
This is 


0.38% probability that the sample contains exactly two defective parts.