A statistic is a quantity calculated from a sample.
The probability of an event \(E\) is:
\[P(E) \in \left[0,1\right] \]
Probability of \(0\) means no chance of happening
Probability of \(1\) means guarenteed to happen
Monte Carlo Coin Flip
Flips: 0
Monte Carlo Coin Flip,
Normalized
Flips: 0
Statistics
Probability
Theoretical:
P(H) = 0.5
P(T) = 0.5
The probability of event E occuring is
\[P(E) = \frac{\text{Number of ways E can occur}}{\text{Total possible outcomes}}\]
🎲 Monte Carlo Die Roll
Rolls: 0
🎲 Monte Carlo Die Roll, Normalized
Rolls: 0
The Cat Machine has a random probability of generating a cat.
Try the machine and then guess \(P(\text{cat})\)!
→
P(cat) =
Create a 6x6 grid with both the rows and columns labeled 1 through 6.
In each cell, write the sum of the row and column. For example, row2-col5 should have a 7 in it.
How many unique sums are possible?
How many times does each sum appear in the grid? Make a normalized histogram.
Experimentally collect as much data as you can by rolling two dice and recording their sum. Create a histogram of your data and compare it to the theoretical distribution.
Determine a function to fit the distribution from your experimental data.
Discrete v. Continuous
Discrete
Continuous
Flipping a coin
Time a trip takes
Rolling a die
Length of a broken stick
Drawing a card
Temperature on Dec 19
Choosing a person
Height of a person
Discrete
Continuous
Probability of rolling an even number = \(\frac{1}{6}+\frac{1}{6}+\frac{1}{6}\)
Probability of value between 0 and 2 = \[ \int_{0}^{2} f(x) \ dx \]
Probability of value between 1 and 2 =
Probability of value between 1 and 2 = \[ \int_{1}^{2} f(x) \ dx = \]
Broken Stick Problem
Given a stick broken at two random places, what is the probability that the three pieces can form a triangle?