Help
Options
Didn't know it?
click below
click below
Knew it?
click below
click below
Don't Know
Remaining cards (0)
Know
retry
shuffle
restart
0:00
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
P Distributions
3.14 NCEA level 3 statistics
| Question | Answer |
|---|---|
| What are the two parameters of normal distribution? | Mean and the standard deviation |
| How can you calculate a rough standard deviation? | Divide the overall range by 6 (because 99% of the data is within three standard deviations from the mean) |
| What are the features of a Normal distribution model? | Unimodal, Symmetrical, Bell shaped, and unbounded |
| What are the proportions of a normal distribution probability model? | The area under the curve is equal to one 68% of normally distributed data is within one standard deviation of the mean 95% is within two standard deviations of the mean 99% is within 3 std Devs |
| What equation is needed for a conditional normal distribution problem? | P(A l B) = P(A n B) / P(B) |
| For rectangle distribution how do calculate the height of the rectangle? | The height of the rectangle is just one over the length. |
| When should you use a rectangular distribution model? | When the only information you are given is maximum and minimum values |
| What are the properties of a uniform distribution? | Continuous Has a minimum and maximum value Each value is equally likely to occur The probability of obtaining a range of values = area under the graph for those values |
| When should you use a triangular distribution model? | When the only information you are given is a maximum, minimum and an average/mode. Usually used for continuous data |
| How to calculate area of triangle? | Half base times height |
| How to calculate are of rectangle? | Bases times height |
| λ meaning? | The mean number of occurrences per continuous period |
| What does Crispy fish stand for? | Conditions:R events must occur at random and the rate at which the event occurs is constant I events must be independent S events cannot occur simultaneously P probability of an event occurring is proportional to the size of the continuous interval |
| What is the one parameter of Poisson distributions? | λ - Average number of successes or rate of successes |
| When doing inverse Poisson problems, if X=0 then what happens to the equation? | Goes from P(X=x)=e-λλx/x! to P(X=0)=e-λ |
| What does Bi nom I al stand for? | Bi: There are only two outcomes (success, failure) Nom: There is a fixed number of trials (n) I: Each trial is independent, the outcome of one trial does not affect the outcome of another Al: The probability of each success is constant |
| What are the two parameters of a binomial distribution? | n - the number of trials π - the probability of success for each trial |
Created by:
estherbruce
Popular Math sets