test 3 Flashcards
(18 cards)
With ___________, we can’t predict the individual outcomes, but we can hope to understand characteristics
of their long-run behavior.
random phenomena
The ______ is the collection of all possible outcomes
Sample space
__________ means that the outcome of one trial doesn’t influence or change the outcome of another
Independence
The __________ states that if the events are independent, then as the number of trials increases, the long-run relative frequency of an event gets closer and closer to a single value
Law of Large Numbers (LLN)
________ is based on repeatedly observing the event’s outcome.
Empirical probability
A subjective, or ________ expresses your uncertainty about the outcome.
personal probability
The probability of the set of all possible outcomes must be 1.
The Probability Assignment Rule
__________ depends only on totals found in the margins of the table.
Marginal probability
A variable whose value is based on the outcome of a random event is called a ______
Random variable
If we can list all possible outcomes, the random variable is called a ________
discrete random variable
If a random variable can take on any value between two values, it is called a _________
continuous random variable
Predicting the number of Bernoulli trials required to achieve the first success.
The Geometric Model
Predicting the number of successes in a fixed number of Bernoulli trials.
The Binomial Model
Predicting the number of events that occur over a given interval of time or space. The Poisson is a good model to consider whenever the data consist of counts of occurrences.
The Poisson Model
The model for symmetric, bell-shaped, unimodal histograms is called the
Normal Model
The model with mean 0 and standard deviation 1 is called the ___________
standard Normal model
The __________ is a specialized graph that can help decide whether the Normal model is appropriate.
If the data are approximately normal, the plot is roughly a diagonal straight line.
Normal probability plot
the _______ of an event is its long-run relative frequency
probability
