What a problem! We know that the largest digit is 8,000, and the smallest is 0.01. The number is 8,_ _ _._1. If the tens is 2 less than the hundreds digit, then if we make the hundreds digit x, the tens are x-2. The tens digit plus the hundreds digit is the thousands digit, so x+(x-2)=8. Let's solve: x+(x-2)=8. Eliminate parentheses: x+x-2=8. Use inverse operations:x+x-2+2=8+2. x+x=10. Combine terms: x+x=2x. 2x=10. Divide: 2x/2=10/2. x=5.
So the hundreds digit, x, is 5. And the tens are x-2: 5-2=3. The number is 8,53_._1. And what's the only number that means the same, no matter what place value you put it in? 0! This is the tenths place: 8,53_.01. The remaining digit is the ones. The largest one-digit even number is 8, so our number is 8,538.01!
Answer: 8,538.01
Answer:
Logan's average is 2,250 meters per hour
Step-by-step explanation:
60 ÷ 1/3 = 20
1/3 of an hour is 20 min
Logan swam 750 meters in 20 minutes
20min × 3 = 60min = 1 hour
750 meters × 3 = 2250
Logan's average is 2,250 meters per hour
Axis of symmetry is x = 6
One of the roots is -1.5
On the graph, -1.5 is to the left of the axis of symmetry by 7.5 units. If we were to go 7.5 units the opposite direction from the axis of symmetry (right), we would get the other root. Simply:
6 + 7.5 = 13.5
Therefore the other root would be 13.5.
Hope this helps! :)
Answer:
Y does not have a binomial distribution since p, the probability of being a binge drinker, is not the same for all the trials.
Step-by-step explanation:
For a binomial distribution, condition required include :
A fixed number of trials ; Here the number of trials is 20 ; hence, this condition is met.
Each trial must be independent : yes, it is independent as a selected individual could either be a binge drinker or not. The outcome of each trial is either a success or a failure ; being a drinker or not.
However, the probability of being a binge drinker (that is probability of success) could vary for male and female. The probability of male being a binge drinker is 0.21 while that if female isn't specified, this probability, p value should be the same for all trials. Hence, with this value not being the same for all trials, the binomial probability condition is violated.
It is either in the ones place or the hundred millions place
