# Stats Test 2 Prep

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1. Situation in which the outcome is unknown before
it happens...give example
• Random Experiment
• rolling die
2. This is the most basic outcome of a random experiment
(simple event)..give example
• Sample Point
• head or tail for a coin toss
3. This is a collection of sample points
Event
4. This is a collection of all sample points in the experiment
Sample space
5. The probability of an event (or simple event) is simply what you think it is , so long as the values of probability are observed...give example
• Personal probability
• flipping a coin and peaking
6. The probability of a (simple) event happening is
the “long-run” relative frequency of that event
Relative frequency interpretation
7. In the event that both A and B occur at the same time it is called an...
intersection
8. The probability of either A or B happening is called a ?
Union
9. Give the 2 terms assigned for when two events CANNOT happen at the same time
• Mutually exclusive
• disjoint
10. What is the formula for (A u B)
P(A)+P(B)-P(A n B)
11. What is the formula for (A u B) if A and B are mutually exclusive..explain
• P(A)+P(B)-P(A n B)=P(A)+P(B)
• this is because A n B can't happen together
12. What is the formula for conditional probability? (A|B)
P(A n B)/P(B)
13. In the formula for A|B can you calculate A n B directly?
No, it must be either given or extrapolated from a different formula
14. If knowledge of one event happening does not change the probability of the other one happening, the two events are said to be...
independent
15. What does this mean: A u B u C...
probability of at least one of these events have happening
16. What does this notation mean: A n B n C..
These events have all happened
17. What does this mean: A u B n C
Nothing..has no meaning...must know which one to do first
18. What does this notation mean: (A u B) n C
First the probability of the union of event A and B then the probability of the intersection of one of those with C
19. Based on the distributive rule, what does this equal: A u (B n C)
(A u B) n (A u C)
20. Based on the distributive rule, what does this equal: A n (B u C)
(A n B) u (A n C)
21. This is a sample that represents our population well
Representative sample
22. If a sample is not representative of the entire population, it is called:
biased
23. What are the 3 types of sample bias?
• Response bias
• Non-response bias
• Sampling bias
24. What is a response bias..give example
• Measurement obtained that is incorrect
• lies in a survey
25. What is a non-response bias?..give example
• Simply getting no response at all
• scale you can't use
26. What is Selection bias?...give example
• Taking a sample that is not from your general population
• Wanting a survey of the UConn population but only surveying grad students
27. How do you control sample bias
by taking simple random samples
28. A list of everything in your population is called a...
population frame
29. What is a convenience sample, and would it be a good representation?
• Simply sampling those around you at the time
30. What is cluster sampling?...and is it a good representation
• Breaking the population into groups and taking simple random samples of each group
• good representation
31. What is stratified sampling and how good of a representation is it?
• Breaking the population into different groups which have members with similar properties then doing SRS
• very good representation
32. This type of random variable can on a particular value
Discrete random variable
33. This type of random variable can take on any value in one or more intervals
Continuous random variable

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 Author: ballinbc14 ID: 73617 Filename: Stats Test 2 Prep Updated: 2011-03-18 06:12:27 Tags: Stat test prep Folders: Description: Stat 1100Q preparation for test 2 Show Answers:

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