Waiting times for an order at Starbucks for all drive-through customers in the US have a uniform distribution from 3 min to 11 min (mean = 7 min, standard deviation = 2.3 min). What distribution would you use to find the probability that a randomly selected Starbucks drive-through customer in the US waits at most 9 minutes to receive their order?

And we can use the cumulative distribution function given by:

And using this we got:

Step-by-step explanation:

For this case we assume that X= represent the waiting times and for this case we have the following distribution:

And the expected value is given by:

And the variance is given by:

And we can find the deviation like this:

And we want to find this probability:

And we can use the cumulative distribution function given by:

And using this we got:

m∠abd = m∠dbc

step-by-step explanation:

given : ab bisects ∠dbc

as we know that bisection means ab divides   ∠dbc   in two equal angles named as   ∠dba and   ∠abc

so, m∠abd = m∠dbc  

because ab bisects ∠dbc.

hence , the first statement m∠abd = m∠dbc is true.