In Unit 2, you have learned about three different types of distributions: Normal, binomial, and Poisson. You can take data that you collect and plot it out onto graphs to see a visual representation of the data. By simply looking at data on a graph, you can tell a lot about how related your observed data are and if they fit into a normal distribution.
For this submission, you will be given a series of scenarios and small collections of data. You should plot the data or calculate probabilities using excel. Then, you will create your own real or hypothetical scenario to graph and explain.
Answer the following:
Day 193Day 288Day 391Day 486Day 592Day 691Day 790Day 888Day 985Day 1091Day 1184Day 1286Day 1385Day 1490Day 1592Day 1689Day 1788Day 1890Day 1988Day 2090
Customer surveys reveal that 40% of customers purchase products online versus in the physical store location. Suppose that this business makes 12 sales in a given day
Does this situation fit the parameters for a binomial distribution? Explain why or why not?
Find the probability of the 12 sales on a given day exactly 4 are made online
Find the probability of the 12 sales fewer than 6 are made online
Find the probability of the 12 sales more than 8 are made online
Your own example: