When the events are independent, the probability of both is the product of the probabilities of the individual events.
P(A∩B) = P(A)×P(B) = 0.7×0.8 =
D. 0.56
Answer:
The mean would be $322,343 and the median would be $196,723.
Step-by-step explanation:
Since the distribution of individual incomes is skewed to the right, it means that the distribution has a long right tail.
Drawing a distribution with this characteristic, we can see how the majority of the data falls into the left side of the graphic, meaning that a lot of people receive less income. Following this reasoning, the mean which is the amount of the data (in this case individual income) divided by the amount of people, would be the higher number, meaning that the few people who earn more money would influence in making this number higher.
Following this reasoning, the median (which is not influenced by this difference) would be the less high number.
Answer:
a = 72
Step-by-step explanation:
Subtract 56 from both sides of the equation so you can isolate the variable
128-56=72
Answer:
μ =2.23
Step-by-step explanation:
Radio(x) weeks P(x)
0 5 5/100 = 0.05
1 27 27/100=0.27
2 27 27/100 = 0.27
3 27 27/100 = 0.27
4 9 9/100=0.09
5 5 5/100=0.05
We know that
Mean ,μ
μ = 0 x 0.05 + 1 x 0.27 + 2 x 0.27 + 3 x 0.27 + 4 x 0 .09 + 5 x 0.05
μ =2.23
Answer:
c the answer is c
Step-by-step explanation: