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visits member for 2 years, 11 months
seen Aug 26 at 23:30

Dec
14
answered Addition of probabilities and gambler's fallacy
Dec
14
answered Fibonacci proof question
Dec
14
answered Why is it that $E(xy) = E(x)E(y)$ if $x$ and $y$ are uncorrelated random variables?
Dec
14
revised Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
added 648 characters in body
Dec
14
comment Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
got it, thank you so much for reading my proof so carefully!
Dec
14
comment Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
hmm, I understand what you mean but is there something incorrect about my reasoning above? i.e. is it true that there must not be non-adjacent edges? It seems I've shown something slightly stronger which is that $O$ is a star. But is this incorrect?
Dec
14
accepted Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
Dec
14
comment Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
...seems obvious now. Dammit...
Dec
14
comment Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
@HenningMakholm that's what I thought at first too...
Dec
14
asked Necessary and sufficient condition so an edge-weighted complete graph has even weight on all cycles
Dec
11
comment solving system of 2 equations
You can add the two equations together to get rid of the $xy$ term.
Dec
11
answered Finding number of paths between vertices in a graph
Dec
11
comment Finding number of paths between vertices in a graph
Do you know how to multiply matrices together?
Dec
11
comment Confused with estimator for random variables.
One thing to notice is that $E[X]=k$
Dec
10
comment How to calculate the a Probability with Z-Score.
@Chase This is a separate question and maybe you should pose it separately, but the answer that I gave you is general: if you have a CDF then you have everything. If the distribution is continuous with PDF $f_X$ then the CDF is $F_X(x)=\int_{-\infty}^xf_X(t)dt$. The binomial distribution is not continuous, so that won't help you in this case, although the idea is the same. For a discrete distribution with probability mass function $p_X$, $F_X(x)=\sum_{y\leq x}p_X(y)$. Sometimes (in the binomial case for instance), this can be tough to put into a nice closed form.
Dec
10
answered existing of limiting point and delta exist
Dec
10
revised How to calculate the a Probability with Z-Score.
deleted 3 characters in body
Dec
10
comment How to calculate the a Probability with Z-Score.
@Chase although, I would recommend sticking with tables if you are using tables in your class. You want to get really efficient at using tables for exam purposes. Tables are, of course, freely available online.
Dec
10
answered How to calculate the a Probability with Z-Score.
Dec
8
answered Prove that $S = \left \{(x, y) \in \mathbb{N} \times \mathbb{R}: xy = 1 \right\}$ is denumerable