Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
100

Discrete data?

Statistics that can only have a full specific number value. (Number of people in a building)

100

Accidental Relationship

When there is no relationship between the two but the correlation is observed.

100

Permutation

data that is arranged in a definite order
100

House Advantage

An advantage set by casinos to ensure they always make money

100

Probability distribution

A graph that shows all possible probabilities.

200

Continuous Data?

Data that can be all values in a range (Race times)

200

A students stress level is correlates with amount of homework

Common cause (Homework stresses students)

200

Factorial

To show the repeating of consecutive but decreasing numbers


200

if you add all the probabilities, the total will always be 1

Sum of probabilities

200

Uniform distribution

When all the outcomes have the same probability
300

Census

A survey of the whole sample size that is used to answer questions

300

Common Cause

When a third variable causes the other two variables to change (Weather causes more accidents and less people on the road)

300

When is rule of sum used?

When it is either one event or the other occurring.

300

Theoretical Probability 

Probability of all outcomes given they all have the same outcomes

300

Binomal Distribution

specified number of outcomes with 2 outcomes success or failure.

400

Cluster Sampling

When the sample size is determined by who is present (Survey taken at a local Walmart

400

Exponential Function formula?


Y=A(BX)

400

The sum of two previous equals the next term

Pascals method
400

Mutually exclusive events


events that share common characteristics that allow them to happen at the same time. 

400

E(N)=np

Expectation for binomial distribution

500

Systematic Random Sampling

Conducting the survey in intervals. (Asking every 10 people that walk past)

500

Y=AX2+bx+c

is an example of?

Quadratic Function


500

Patterns in pascals triangle

Sum of rows

Combination

Hockey Sticks

500

Formula for odds in favour (without probability)

n(a)/n(A1)

500

The probability of success changes every trial (Taking a ball out of a bucket without replacing.

Hypergeometric Distribution