PreparED Study Materials
Videos
Probabilities with Poisson Variables X1 & X2
Want To Learn More? To watch the entire video and ALL of the videos in the series:
full solution
Explore the complexities of two independent Poisson random variables, X1 and X2, with means ?1 = 2 and ?2 = 3. Understand the process of calculating specific event probabilities and the application of the Poisson formula. Key takeaways include the manipulation and interpretation of these statistical values.
Evaluating Tornado Length Claims: A Statistical Breakdown
Want To Learn More? To watch the entire video and ALL of the videos in the series:
full solution
Explore a statistical approach to analyze the claim about average tornado lengths. Understand the nuances of hypothesis testing, from setting null and alternative hypotheses to interpreting P-values. Witness a comprehensive breakdown of the evidence from a sample of 500 tornadoes.
2010 US Gas Prices: Insights with Chebyshev’s Inequality
Want To Learn More? To watch the entire video and ALL of the videos in the series:
full solution
Unpack the average US gasoline prices in December 2010 using Chebyshev’s Inequality. Discover the minimum percentage of gas stations within specific price deviations. Learn how prices ranged based on standard deviations from the mean.
Calculating Permutations: 720 Ways to Arrange 6 Objects
Want To Learn More? To watch the entire video and ALL of the videos in the series:
full solution
Discover the principles of permutations with 6 distinct objects. Learn the ins and outs of factorial calculation and its application to combinatorics. Grasp the method to find the number of unique arrangements for any set of items.
Let Y be a random variable with mean 11 and variance 9
Want To Learn More? To watch the entire video and ALL of the videos in the series:
full solution
Poisson Analysis: Asthma ED Visits in Seattle
Want To Learn More? To watch the entire video and ALL of the videos in the series:
full solution
Unpack a Seattle-based study on Emergency Department asthma visits using the Poisson distribution. Explore the probability of visit frequencies and derive insights on healthcare patterns. Conclusions provide a statistical overview of asthma-related ED attendance.



















