# Browse Resources

(7 classifications) (337 resources)

Probability

Statistical Topic Classifications
Elementary Probability (270)
Limit Theorems (96)
Multivariate Distributions (149)
Probability Measures (11)
Simulation (164)
Stochastic Processes (80)
Univariate Distributions (394)

Resources
 Assessing Product Reliability (Engineering Statistics Handbook) This chapter of the NIST Engineering Statistics handbook "describes the terms, models and techniques used to evaluate and predict product reliability." It contains an introduction, discussions on the assumptions, and sections on reliability data collection and analysis. http://www.itl.nist.gov/div898/handbook/apr/apr.htm
 Be an Actuary For anyone who wants to know more about what an actuary does or how to become an actuary (including a comprehensive list of colleges with actuarial programs), this is an excellent resource. http://beanactuary.org/
 Benford's Law Part 1 - How to Spot Tax Fraud This page explores Benford's Law: For naturally occurring data, the digits 1 through 9 do not have equal probability of being the first significant digit in a number; the digit 1 has greater odds of being the first significant digit than the others. This law can be used to catch tax fraud because truly random numbers used by embezzlers do not meet this condition. http://www.intuitor.com/statistics/Benford's%20Law.html
 Benford's Law Part 2 - The 80/20 Rule or Pareto Principle This page explores Benford's law and the Pareto Principle (or 80/20 rule). Benford's law may also have a wider meaning if the digits it evaluates are considered ranks or places. The digit's probability of occurring could be considered the relative share of total winnings for each place (1st through 9th). In other words, 1st place would win 30.1%, 2nd place 17.6%, 3rd 12.5%,... 9th place 4.6% of... http://www.intuitor.com/statistics/Benford's%20Law2.html
 Binomial Proportions This calculator computes the probability that two proportions are equal, given sample proportions. The user inputs values for x1, n1, x2, and n2. The null hypothesis is that the two proportions are equal. http://www.fon.hum.uva.nl/Service/Statistics/Binomial_propor...