YMS Chapter 6 Probability
Q1.The branch of mathematics that deals with the pattern of chance outcomes is ____.
Q2. The big idea of the study of probability is that chance behavior is unpredictable in the
_____ but has a regular and predictable pattern in the _____.
Q3. An illustration of the “big idea” mentioned in Q2 is that while it is unpredictable
whether a single coin toss will come out heads, the ________ is almost always very close
to .5.
Q4. What is the difference between a changing, or variable phenomenon that is “random”
and one that is not?
Q5. The ____ of any outcome of a random phenomenon is the proportion of times the
outcome would occur in a very long series of repetitions, i.e. longterm relative
frequency.
Q6. When there are independent trials, that means that the outcome of one trial _______.
Q7. The set of all possible outcomes of a random phenomenon is called the ______.
Q8. An event is defined as a subset of ____.
Q9. When we make a mathematical description of a random phenomenon by describing a
sample space and a way of assigning probabilities to events, we are constructing a
Q10. Jane has 2 shirts and 3 pairs of pants. If we want to picture the 6 ways she can dress
in these garments, we can draw a diagram with a bifurcation point at the left of the page,
with two lines going out to two points called “red shirt” and “brown shirt.” From each of
these, you then draw 3 lines, saying “blue pants,” “green pants,” and “black pants.” This
sort of picture is called a _____.
Q11. Jane has 2 shirts and 3 pairs of pants. The “Cartesian Product” of these two sets
produces 6 possible combinations. This illustrates what our book calls the _____
principle, which says that if you can do one task in a ways, and another in b ways, you
can do both together in _____
ways.
Q12. Please give an example of sampling with and without replacement.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
This is the end of the preview.
Sign up
to
access the rest of the document.
 Spring '07
 Molina
 Statistics, Conditional Probability, Probability, Probability theory, High school athlete

Click to edit the document details