Probability â€“ Discussion
Smartphone adoption among American young adults has increased substantially and mobile access to the Internet is pervasive. Fifteen % of young adults who own a smartphone are â€œsmartphone-dependent,â€ meaning that they do not have home broadband service and have limited options for going online other than their mobile device. (Data extracted from â€œU.S. Smartphone Use in 2015,â€ Pew Research Center, April 1, 2015.)
If a sample of American young adults is selected, you can calculate various probabilities. This is a typical binomial probability situation because the young adults are either smart-phone dependent or not. There two possible outcomes which are mutually exclusive and collectively exhausted and satisfy all other properties of the binomial distribution.
Create your own situation that could be modelled with a binomial probability
P(X = x | n, Ï€ )
n = number of observations (the sample)
Ï€ = probability of an event of interest
x = number of events of interest in the sample
- Define x, n and Ï€ in your situation. Select a sample size, n, between 5-20. Select a probability between 0-1 (of course!). Select x that is â‰¤ n.
- Use the Excel function binom.dist to calculate the probability or the workbook (click to download Binomial.xlsx) to create a binomial table. Your binomial table needs to have all possible outcomes included (e.g. x = 0, 1, 2, … , n).
- Copy/paste your binomial table into your post.
- Explain in your own words and in the context of your situation, the answer to the question, â€œWhat is the probability of P(X = x | n, Ï€ )?
First response: Choose a classmateâ€™s post and using their probability table, find the probability such that X â‰¥ x. How does this probability compare to your classmateâ€™s calculation for X = x? In your own words explain what the difference is and what this probability means in the context of their situation.
Second response: Choose another classmate’s post to respond to. Create a question that can be answered using the cumulative probability in their probability table. Answer the question in your own words.