Question 1
The random variable X has the distribution B(4000,0.001).
Question 1(a)
Use a suitable approximating distribution to find .
Question 1(b)
Justify your approximating distribution in this case.
EduNinjaThe random variable X has the distribution B(4000,0.001).
Use a suitable approximating distribution to find P(2⩽X<5).
Justify your approximating distribution in this case.
A random variable X has the distribution Po(145).
Use a suitable approximating distribution to calculate P(X⩽150).
Justify the use of your approximating distribution in this case.
In a certain lottery, on average 1 in every 10000 tickets is a prize-winning ticket. An agent sells 6000 tickets.
Use a suitable approximating distribution to find the probability that at least 3 of the tickets sold by the agent are prize-winning tickets.
Justify the use of your approximating distribution in this context.
Sales of cell phones at a certain shop occur singly, randomly and independently.
State one further condition that must be satisfied for the number of sales in a certain time period to be well modelled by a Poisson distribution.
The average number of sales per hour is 1.2 .
Assume now that a Poisson distribution is a suitable model.
Find the probability that the number of sales during a randomly chosen 12 -hour period will be more than 12 and less than 16 .
Use a suitable approximating distribution to find the probability that the number of sales during a randomly chosen 1 -month period ( 140 hours) will be less than 150 .
A teacher models the numbers of girls and boys who arrive late for her class on any day by the independent random variables G∼Po(0.10) and B∼Po(0.15) respectively.
Find the probability that during a randomly chosen 2-day period no girls arrive late.
It is given that the values of P(G=r) and P(B=r) for r⩾3 are very small and can be ignored.
Find the probability that on a randomly chosen day more girls arrive late than boys.
Following a timetable change the teacher claims that on average more students arrive late than before the change. During a randomly chosen 5-day period a total of 4 students are late.
Every July, as part of a research project, Rita collects data about sightings of a particular kind of bird. Each day in July she notes whether she sees this kind of bird or not, and she records the number X of days on which she sees it. She models the distribution of X by B(31, p), where p is the probability of seeing this kind of bird on a randomly chosen day in July.
Data from previous years suggests that p=0.3, but in 2022 Rita suspected that the value of p had been reduced. She decided to carry out a hypothesis test.
In July 2022, she saw this kind of bird on 4 days.
Use a suitable approximating distribution to find P(Y=4).
Justify your approximating distribution in this context.