An industrial engineer conjectures that a major difference between successful and unsuccessful companies is the percentage of their manufactured products returned because of defectives. In a study to evaluate this conjecture, the engineer surveyed the quality control departments of 35 successful companies (identified by the annual profit statement) and 35 unsuccessful companies. The companies in the study all produced products of a similar nature and cost. The successful companies selected had a mean percentage of total output returned by customers in the previous year of 5.51 with a standard deviation of 2.74, and the unsuccessful companies had a mean of 7.13 with standard deviation of 2.32. Is there sufficient evidence that successful co

i hope this is what you were looking for.

see attached graph

so firstly, we need to isolate the y variables to be able to solve these inequalities. firstly, add 0.5x on both sides of the first inequality and subtract 1.5x on both sides of the second inequality:

now since the slope is positive for the first inequality, this means that the line going upwards belongs to the first inequality, and the line going downwards belongs to the second inequality.

next, since y ≥ in the first inequality, this means that the shaded region will be above the first inequality's line, thus shading regions a and b.

next, since y ≤ in the second inequality, this means that the shaded region is going to be below this line, thus shading regions a and c.

since both lines shade region a, this means that region a is the solution.

step-by-step explanation:

mark brainliest!

m∠a is 90°

m∠b is 40°

you need to give us more information since we can't answer