S2 Definitions Flashcards
When do you use a Binomial Distribution?
- When there a fixed number of trials
- Each trial must be success or failure
- The trials must be independent
- The probability of success is constant
When do you use a Poisson Distribution?
- When the event occurs singling in time
- the events must be independent of each other
- the event must occur at a constant rate in the sense that the mean number of occurrences in the interval is proportional to the length of the interval.
When is it suitable to approximate poisson by normal?
- when the parameter is greater then 10
When can you approximate binomial by normal?
- When the number of trials is large and p is close to 0.5
When can you approximate Binomial by Poisson?
When the number of trials is large and the probability is small,
and when np is less then or equal to 10.
Population
this is a collection of individual items
sample
a sample is a selection of individual members or items from a population
a finite population
a finite population is one in which each individual member can be given a number
an infinite population
an infinite population is one in which it is impossible to number each member
Sampling unit
a sampling unit is an individual member of a population
sampling frame
this is a list of the sampling units used in practice to represent a population
statistic
this is a quantity calculated solely from the observations in a sample
Sampling distribution
a statistic has a sampling distribution that is defined by giving all possible values of the statistic and probability of each occurring
Census
a survey of the entire population
advantages of a census
- every single member of the population is used
- it is unbiased
- it gives an accurate answer