It is given the probability that a dancer like ballet is 0.35
So, P(B) = 0.35
It is given the probability that a dancer like tap is 0.45
So, P(T)= 0.45
The probability that he likes both ballet and tap is 0.30
So, 
the probability that the dancer likes ballet if we know she likes tap. This is the case of conditional probability.
So, 

= 0.666
= 0.67
Therefore, the probability that the dancer likes ballet if we know she likes tap is 0.67.
Option 3 is the correct answer.
Answer:
y=2(x−4)²+3
Step-by-step explanation:
In statistics, the mean is the average of all data. You sum up all the data and divide to the number of data. Median, on the other hand, is just the middle term of the data when arranged from least to most.
So the measure that would change most is the mean. The new mean would be -5.82. While the new median would just move to the next data point which is 101.
Answer:
A
Step-by-step explanation: