Tonight, please complete the chapter 17 reading questions (provided in class, or listed below):
You can find all of these answers in chapter 17 of your textbook!
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( ?
Tomorrow in class we'll get into our chapter 17 notes...we'll take notes for Thurs/Fri/Mon/Tues to finish our unit on probability...exciting stuff!
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