Whoever scored 72 shots out of 150. Did, In fact, score 48% of their shots.
Solution:
*To calculate the percentage represented by a ratio simply divide the numerator by the denominator and multiply by 100.
72:150 (72/150)
72/150
= 0.48
0.48(100) = 48
... 48%
Answer:
3.8
Step-by-step explanation:
A train averages a speed of 90 miles per hour across the plains and 37.5 miles per hour through the mountains.
If a trip of 300 miles took 3 hour and 48 minutes, how much of it was through the mountains?
Let d = distance traveled at 37.5 (thru the mountains)
then
(300-d) = distance traveled at 90 mph
Write a time equation, time = dist/speed
change 3 hr 48 min to hrs: 3 + 48/60 = 3.8 hrs
plain time + mountain time = 3.8 hrs
%28300-d%29%2F90 + d%2F37.5 = 3.8
Multiply 90*37.5
3375*%28300-d%29%2F90 + 3375*d%2F37.5 = 3.8(3375)
cancel the denominator
37.5(300-d) + 90d = 12825
11250 - 37.5d + 90d = 12825
52.5d = 1575
d = 1575/52.5
d = 30 mi thru the mountains
Check this, find the distance on the plain
300-30 = 270 mi
Find the actual time at each speed
270/90 = 3 hrs
30/37.5 = .8 hrs
-----------------
total time: 3.8 hrs
Step-by-step explanation:
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Answer: The answer is C. 2
Step-by-step explanation:
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%.
