A random variable that follows a?Poisson distribution?is a?discrete random variable
A Poisson distribution is used when the random variable?counts something
The number of occurrences of an event in a given interval of time or space
There are?three conditions?that?must fulfil to follow a Poisson distribution
The?mean?number of occurrences is?known?and?finite?(λ)
The events occur at?random
The events occur?singly?and?independently
When should I use a normal distribution?
A random variable that follows a?normal distribution?is a?continuous random variable
A normal distribution is used when the random variable?measures something?and the distribution is:
Symmetrical
Bell-shaped
A normal distribution can be used to model real-life data provided the?histogram?for this data is?roughly symmetrical and bell-shaped
If the variable is normally distributed then as more data is collected the outline of the histogram should get smoother and resemble a normal distribution curve
Will I still be expected to use the binomial and geometric distribution
Knowledge of using the binomial and geometric distribution is expected for Statistics 2
Remember the?three conditions?for both distributions
The trials are?independent
There are?exactly two outcomes?of each trial (success or failure)
The?probability of success(p)??is constant
You will be expected to recognise when a random variable follows a?binomial?or?geometric?distribution and use their properties
A?binomial distribution?will?have a?fixed finite number of trials(n)
A?geometric distribution?will?continue the trials until the?first success
Exam Tip
Always state what your variables and parameters represent.? Make sure you know the conditions for when each distribution is (or is not) a suitable model.