Definitions | Fill in the blank (kind of) | Continuous or Discrete? | Definitions | Binomial or Not |
---|---|---|---|---|
Probability distribution
Distributions that tell us which values appear in the data and how often those data appear.
|
Discrete and Continuous
These are two types of numerical outcomes.
|
Continuous Variable
The amount of rain in next rainstorm.
|
Continuous Values
Can't be put in a table, because there are
infinitely many values. (But we can make tables of just a few of the values). Graphically, represented as areas under curves. Mathematically, given by integrals of equations. |
Not a binomial distribution
Consider the experiment where three marbles are drawn without replacement from a bag containing 20 red and 40 blue marbles, and the number of red marbles drawn is recorded.
|
Discrete variables
A type of variable measured in counts.
|
1. a table listing values and probabilities
2. a graph displaying values and probabilities 3. a formula
Three ways in which discrete probability distributions can be modeled.
|
Discrete Variable
The number of days of recordable rain this year
|
The Normal Model
An idealized distribution. If it is close to our observed sample distribution, we can use it to reach some useful generalizations.
|
Not a binomial distribution
Flipping a coin until you see 3 heads.
|
Binomial Distribution
This type of distribution has these characteristics:
It consists of a fixed number of trials. Each trial has a random outcome, and only two outcomes are possible: success or failure. The probability of a success is the same for every trial. Each trial is independent of the others. |
N(12, 3)
Short hand notation for a normal model with a mean of 12 and a standard deviation of 3.
|
Discrete Variable
Z is the number of cars owned by a randomly chosen pop singer.
|
Gaussian curve
The pattern that models the bell-curve distribution.
|
Binomial disribution
Basketball player shoots three baskets in a row with the probability of success being 80%
|
n
The letter that represents the number of fixed trials in a binomial distribution.
|
42%
If we know that about 58% are shorter than 65
inches, what percent are taller than 65 inches in a normal model? |
Continous Variable
The combined weight of all the utensils in a randomly chosen kitchen.
|
Model
An idealization that captures important
aspects of something we wish to study. Normal ones do not exist in the real world but they are a useful way of thinking about the real world (and we can get a pretty good approximation of the ideal using computer simulations. |
Binomial distribution
A fair six-sided die is rolled ten times, and the number of 6's is recorded.
|
p
The letter that represents the probability of a success for a trial.
|
64.48%
If women's heights are N(64.4, 2.9), what percent are
between 60 and 66 inches? |
Discrete Variable
Suppose you decide to play the 1$ 'scratcher' once per day, every day, until you win. The number of days that it takes you is this type of variable.
|
Mean/Standard Deviation
This determines the location of the center of
the distribution and this determines the spread of the distribution. (TWO ANSWERS!) |
Binomial distribution
Data collected from a website shows that 39% of visitors use internet explorer and we randomly select 6 visitors.
|