Acompany used to produce 300 units every day, but 20% of the units were defective. after installing a new process, the defect rate has been reduced to 5%, while output has remained the same. what is the percent increase in productivity due to installing the new process?

18.75%

Step-by-step explanation:

Given:

Total units produced = 300

defective units = 20%

Number of defective units = 0.20 × 300 = 60 units

Therefore,

The Productive units = 300 - 60 = 240

After installing a new process

Defective units = 5%

Number of defective units = 0.05 × 300 = 15 units

The Productive units = 300 - 15 = 285

Increase in productive units = 285 - 240 = 45 units

Hence,

The percent increase in productivity due to installing the new process

=

=

= 0.1875

or

18.75%

0.0076, if you meant 4.125 divided by 0.03125 it would be 132

step-by-step explanation:

first you have to move the decimal in 0.03125 over until its behind the 5 which is 5 places over. now the number is 3125

then you have to move the decimal in 4.125, 5 places over. now the number is 4,112,500.

now you divide like you would normally would and get 0.0076

answer: 33 ( approx)

step-by-step explanation:

since, in the linear regression formula, the slope is the a in the equation y = b + ax ( by comparing it with the general equation of line y = mx + c )

where,

here given table is,

price ($), x   :           18         23       25       29       30       33

pairs sold, y :         16         13         10       8         6       2

so, ,   ,   ,

and   ,

thus, slop of the given line is,

⇒  

⇒   ≈ 33