Answer:
And we can find the nnumber of deviations from the mean for each limit given:


So we are 3 deviation from the mean and using the empirical rule we know that within 3 deviations from the mean we have 99.7% of the values
Step-by-step explanation:
Let X the random variable that represent the amount of time it takes him to arrive, and for this case we know the distribution for X is given by:
Where
and
We want to find this probability:
And we can use the z score formula given by:
And we can find the nnumber of deviations from the mean for each limit given:


So we are 3 deviation from the mean and using the empirical rule we know that within 3 deviations from the mean we have 99.7% of the values
Answer:
The number that would represent a sample statistic of a population but not a parameter is:
O A. Neither 500 nor 50,000
Step-by-step explanation:
The reason behind this is that a parameter has to follow a certain guideline because it needs to fulfill a rule to be considered one. There has to be a correlation, so if we have no clear establishment the number can't be a parameter. Thus, 500 would be the minimum 1% to be considered as a parameter and 50,000 the whole universe of the population. They keep a correlation, therefore any number but they would be a sample statistic.
Answer:
Step-by-step explanation: