Answer:
<h2>C. g(x) = x - 6</h2>
Step-by-step explanation:
For a parent function y = f(x) and n > 0:
f(x) + n : move the graph n units up
f(x) - n : move the graph n units down
f(x + n) : move the graph n units to the left
f(x - n) : move the graph n units to the right
===================================================
We have
f(x) = x
Transformation: 6 units down
f(x) - 6 = x - 6
The inequality would be 3.1h + 2.3b ≥100
Step-by-step explanation:
Earning of Tammy for each hour of work= $3.1
Total hours she worked= h
Earning for picking each bushel of apple= $2.3
Total bushel she picks= b
Her goal = minimum of $100
Hence total earning from working= earning from each hour* no of hours worked
Total earning= 3.1h
Similarly, total earning from picking up apple bushels= earning from picking one bushel*no of bushels picked
Total earning= 2.3b
According to question total earning must be greater than $100
Hence, 3.1h + 2.3b ≥100
4.6 Is the answer I thinkkkkk
Answer:
Type 1 error:
D)Reject the null hypothesis that the percentage of high school students who graduate is equal to 55 % when that percentage is actually equal to 55 %.
Type 2 error:
B,)Fail to reject the null hypothesis that the percentage of high school students who graduate is equal to 55 % when that percentage is actually less than 55 %.
Step-by-step explanation:
When something that is true, is been rejected, then it's reffered to as Type I, on the other hand when
Whensomething that is false is been failed to be rejected then it's reffered to as that is Type II
Type I ;
This is to reject Hypothesis when Hypothesis is true, i.e rejecting of the null when it's true.
For instance from the question,
The percentage of high school students who graduate is equal to 55%. Then to get the Type1 , One would say the percentage of high students who graduated is not 55% when it is in actual sense
Type II ;
This is happen when we accept a false null hypothesis which means it takes place when We fail to reject Hypothesis when it is False.
For instance, from the question which says The percentage of high school students who graduate is equal to 55%. Then for type II to occur One would say it is 55% when it is really not 55%.
