Chapter 6
Vocab
Chapter 14 vocab
Chapter 15 vocab
Probability
Normal model
100
This is standardized values
What is z-scores
100
When two events can't happen at the same time.
What is disjoint or mutually exclusive
100
This is used for given statements
What is conditional probability
100
P(A∩B)
What is multiplication rule
100
Z= (Y-μ)/σ
What is z-scores
200
When you add or subtract a constant to each value except the range, IQR, and standard deviation.
What is shifting data
200
This is a fictional law
What is law of averages
200
P(A|B)
What is a conditional probability
200
Probability is between these two numbers
What is 0 and 1
200
The amount of data that is within 2 standard deviations of a normal model.
What is 95%
300
This represents a normal model and is a rule.
What is 68-95-99.7 rule
300
Unpredictable behavior is this
What is a random phenomenon
300
These are used to organize our data
What is vent diagrams, tree diagrams, and tables.
300
A single attempt or realization of a random phenomenon
What is a trial
300
When you multiply or divide a constant to all the values even measures of spread.
What is scaling data.
400
Numbers we choose to help specify the model.
What is parameters
400
States that over the long (long, long) run, events will occur with a certain relative frequency or probability.
What is law of large numbers?
400
P(B|A) = P(B)
What is independence test
400
1-P(none)
What is P(some)
400
(Min, max, μ, σ)
What is Normalcdf
500
This is used to find a z-score on the calculator
What is invNorm
500
One minus the probability of a occurs
What is complement rule
500
we subtract this in the general addition rule
What is probability of their intersections
500
1-P(A+B....)
What is P(at least)
500
(%, μ, σ)
What is InvNorm
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