Answer with Step-by-step explanation:
Since we have given that
Average per week in sales = $8000
Steve hopes that the results of a trial selling period will enable him to conclude that the compensation plan increase the average sales per salesperson
So, the appropriate null and alternate hypothesis would be

b. What is the Type I error in this situation? What are the consequences of making this error?
Type 1 error are those errors in which null hypothesis are supposed to be rejected, but it does not get rejected.
It means sales per week is greater than $8000 but in actual it is not.
c. What is the Type II error in this situation? What are the consequences of making this error?
Type 2 are error are those errors in which null hypothesis are supposed to be accepted but it get rejected.
It means average sales per week is actually $8000 but it is calculated that average sales is less than $8000.
17x(1-2y)
17x-34xy
because both expressions have a x, it would be easier to factor out the x first. but because 17 is a factor of 34 you can simply divide 34 by 17 and get 2. so you put it together to this,
17x(1-2y)
Because, 17x times 1 is 17x but 17x times -2y would be -32xy.