Judging from this poll question we're a pretty shallow group of individuals...
Onto the last chapter of probability! Yay!
Tonight, please use your textbook to find answers to these chapter 17 reading questions:
1. What are the three qualifications for a situation to be a Bernoulli trial?
2. What is a Geometric probability model used to calculate?
3. What is the 10% condition?
4. A Binomial model is defined by two parameters. What are these?
5. The formula for a binomial probability is highlighted (middle of the page) on page 391. What is this formula?
6. What do each of these variables—n, k, p, and q—represent?
7. Look on page 391, just above the box at the bottom, the (blue) highlighted sentence. Write this sentence. (“A binomial probability model describes…)
8. What are the formulas for mean and standard deviation of a Binomial probability model (look at the box on page 391).
9. What is the success/failure condition? It is used to determine if we can use….(what)?
10. Look at the TI Tips box on page 393. What is the difference between binompdf( and binomcdf( ?
1 comment:
we learned our shallowness from the best!
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