Answer:
Step-by-step explanation:
This is a poisson distribution. Let x be a random representing the number of calls in a given time interval.
a) the expected number of calls in one hour is the same as the mean score in 60 minutes. Thus,
Mean score = 60/2 = 30 calls
b) The interval of interest is 5 minutes.
µ = 5/2 = 2.5
We want to determine P(x = 3)
Using the Poisson probability calculator,
P(x = 3) = 0.21
c) µ = 5/2 = 2.5
We want to determine P(x = 0)
Using the Poisson probability calculator,
P(x = 0) = 0.08
Answer:
Step-by-step explanation:
50 employees make up the sales team, 25 male and 25 female, 5 choice leads are assigned
a)
p(first lead given to male)=25/50
p(second lead given to male)=24/49
Since the probabilities of first and second are not affected by each other, the events are independent
b)
Given that first four leads go to men
Therefore, number of men left=21
number of employees left=46
p(fifth lead goes to man)=21/46
c)
At least four leads go to man, given
four leads are men
number of men left = 21
number of women left= 25
number of employes left = 46
probability= 
Answer:
2
Step-by-step explanation:
Suppose the spinner lands on <em>a</em>. There's a 1/3 chance that it'll land on <em>a</em> the second time.
Suppose the spinner lands on <em>b</em>. There's a 1/3 chance that it'll land on <em>b</em> the second time.
Suppose the spinner lands on <em>c</em>. There's a 1/3 chance that it'll land on <em>c</em> the second time.
We've covered all possibilities for the first spin, and they're all equal, so their average is 1/3.
The probability that it'll land on the same letter twice is 33.3%.
Answer: the answer is the first one
Step-by-step explanation:
