Answer:
52.56% probability that eight or more of the flights will arrive on time.
Step-by-step explanation:
For each flight, there are only two possible outcomes. Either it is on time, or it is not. The probability of a flight being on time is independent from other flights. So we use the binomial probability distribution to solve this question.]
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which 
is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
At a certain airport, 75% of the flights arrive on time.
This means that 
A sample of 10 flights is studied.
This means that 
Find the probability that eight or more of the flights will arrive on time.
In which
52.56% probability that eight or more of the flights will arrive on time.
Answer:
1/5
Step-by-step explanation:
Answer:
A.
Step-by-step explanation:
They are dependent events, indicated by the word 'given'.
To solve this problem, let us first define what is mean
and median. Mean is the average of all the numbers in the data set while
the median is the number in the middle of the data set in ascending order.
If we create a box plot for the data of Rome and New York,
we can see that there is an outlier in the data for New York. Since New York
has an outlier, so the mean is not a good representation on the central
tendency of the data. The mean is skewed (distorted) by the outlier. So in this
case it is better to use the median.<span>
While the Rome data is nice and symmetrical, it does not seem
to have an outlier, so we can use the mean for this data set.</span>
Therefore the answer is:
<span>The Rome data center is best described by the mean. The
New York data center is best described by the median</span>
Step-by-step explanation:
its y-(-6)= 3 over 2(x-(-1))
