Answer #1: x= 250
50 = x times 20/100
X= 100 times 50/ 20
X=250
Answer #2: same explanation but the answer is X= 120
If your talking about merging the percentage of the answer, I can’t help you with that
Answer:
B $49
Step-by-step explanation:
the answer want how much off right? then just take the 20% off × $245 =
20% = 20/100
Answer:
x = 3.85
Step-by-step explanation:
Given equation:
6ˣ = 1,000
now,
on taking log both sides, we get
⇒ log(6ˣ) = log(1,000)
or
⇒ log(6ˣ) = log(10³)
now we know the property of log function that
log(aᵇ) = b × log(a)
thus, applying the above property, we get
⇒ x × log(6) = 3log(10)
or
⇒ x × log(2×3) = 3log(10)
now,
we have another property of log function as":
log(A) = log(A) + log(B)
therefore,
x × [log(2) + log(3)] = 3log(10)
also,
log(10) = 1
log(2) = 0.3010
log(3) = 0.4771
Thus,
⇒ x × [0.3010 + 0.4771 ] = 3 × 1
or
⇒ x × 0.7781 = 3
or
⇒ x = 3.85
There are 24 positive 2 digit numbers divisible by 4.
4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80, 84, 88, 92, 96
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%.
