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+# Long division
+$$ \frac{6x^2-x-2}{2x+1} $$
+Given the above problem, you'd first start by figuring out what you'd multiple the largest exponent in the denominator ($2x$) by, to equal the largest number in the numerator ($6x^2$). In this case, that number is $3x$. You'd then multiple the entire denominator by that number, giving you $6x^2 + 3x$. $3x$ would then be part of your solution, and you'd subtract $6x^2+3x$ from $6x^2-x-2$ to give you $-4x-2$. The process is then repeated with $-4x-2$, figuring out what you'd multiply to cancel it out, then adding that to your solution. This is repeated until you can't anymore. This is your remainder, and can be written as $\frac{r}{2x+1}$, where $r$ is your remainder, and $2x + 1$ is the denominator in the original equation.
+
+# Synthetic Division
+This is a slightly more efficient method of devision that's valid when the denominator is in the form of $x \pm n$, or $x$ plus or minus a number.
+
+https://en.wikipedia.org/wiki/Synthetic_division
diff --git a/education/statistics/Probability.md b/education/statistics/Probability.md
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+(Ch 13 14, stat 1040)
+
+Probability was developed to solve gambling problems. A chance can be represented as any of:
+- A percentage
+- A fraction
+- A decimal
+The chance of something gives is the likelihood of something happening when repeated under the same conditions. Chances are between 0 and 100%. 
+The chance of something equals 100% - the probability of the opposite thing happening. This information is helpful when it's simpler to calculate the likelihood for the opposite of the desired probability. 
+
+$$ chance = \frac{num\space outcomes}{num\space total\space possible\space outcomes} * 100\% $$
+Example: A coin toss has 2 possible outcomes, heads, and tails. $\{heads, tails\}$
+
+$p(h)$ is the mathematical shorthand for something happening, in this case $p(h)$ would be the probability of heads.
+
+- A deck of cards has 52 cards, 4 cards of each type and 13 different types.
+- The chance of drawing a specific card is 1/52
+- The chance of drawing a specific color is 1/2
+- The chance of drawing a specific type of a card is 4/52, or 1/13
+
+## Independent Events
+If the chance of a second event does not change depending on the outcome of the first event, an event is considered independent. An example of this might be drawing from a deck of cards, then replacing the card.
+
+To find the probability of two independent events taking place, you can multiply the probability of those events together.
+
+This is also known as unconditional chance.
+## Dependent Events
+If an event is influenced by other events, it is considered dependent. An example of this might be drawing from a deck of cards, not replacing, then drawing again.
+
+This is also known as conditional chance.
+
+
+| Phrase | Definition |
+| ---- | ---- |
+| Probability/Chance | The statistical likelihood of an event taking place |
+|  |  |
+