To compute the mean, you simply have to sum all the elments in the data set and the divide the sum by the number of elements:
To compute the variance, we first need to compute the distance of each element from the mean. To do so, we build a "parallel" dataset, given by the difference of every value and the mean:
Now we need those difference squared:
The variance is the mean of this new vector, so
Finally, the standard deviation is simply the square root of the variance, so you have
Answer:
0.213 is the required probability.
Step-by-step explanation:
We are given the following information:
We treat person booking from online travel website as a success.
P(Booking through online travel website) = 0.68
Then the number of people follows a binomial distribution, where
where n is the total number of observations, x is the number of success, p is the probability of success.
Now, we are given n = 15
P(exactly ten people out of fifteen people used an online travel website)
0.213 is the probability that exactly ten people out of fifteen people used an online travel website when they booked their hotel.