

How can you use simulation to perform hypothesis testing for discrete data? How does the concept of likelihood ratio relate to comparing different PMF models for a given dataset?
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what is pmf
- Can a probability in a PMF be greater than one? What is the difference between the notation for a PMF and a PDF?
- Give an example of a degenerate distribution. What is a categorical distribution PMF?
- How is the study of PMFs evolving with advancements in computing and data science? Can you provide a list of important discrete probability distributions and their PMFs?
- Can multiple PMFs represent the same probability distribution? What is the support of a PMF?
- Can you construct a PMF for any discrete random variable? What considerations are important when defining a PMF for a real-world phenomenon?
- Give an example of calculating variance using a PMF. How do you find the standard deviation of a discrete random variable using its PMF?
- How do you define the PMF of a truncated discrete distribution?
- What is the Akaike Information Criterion (AIC) and how is it used for model selection among discrete distributions?
- Give examples of PMFs with infinite support.
- How can you use PMFs to model the number of likes or shares of a social media post? What are some applications of discrete probability in social media analytics?
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