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Tri 2 Exam Review Flashcards | StudBud
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Tri 2 Exam Review
Tri 2 Exam Review
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1
When is an inference procedure called robust?
If t is not in the given multiple choice answers
The probability remains accurate if a condition is violated
If an SRS was not taken
Probability becomes inaccurate if a condition is violated
2
How is the Degrees of Freedom found?
n-1
n+1
n
n-2
3
What is a statistic?
The same as an SRS
Number that describes some characteristic of a sample
Number that describes some characteristic of the population
The opposite of the Central Limit Theorem
4
What is the formula for Margin of Error?
Parameter ± (Critical Value)
Statistic ± (Critical Value)
(Critical Value) * (Standard Deviation of Statistic)
Statistic ± (Standard Deviation of Statistic)
5
What does the acronym PANIC mean?
Parameter, Assumptions/Conditions, Name, Interval,Conclusion
Parameter, Assumptions, Name, Isolate, Conclude
Become nervous and attempt the problem blindly
Parameter, Assumptions/Conditions, Number, Interval, Context
6
What are the 3 conditions for constructing a Confidence Interval?
Random, Normal, Independent
Statistic, Parameter, Standard Deviation
Normal, N > 25, Independent
Warm, Cold, Snow
7
What is the correct meaning of the acronym BINS?
Binary, Independent, Number, Success
Big, Independent, Nathan, Squirrels
Bunch, Independent, Number, Success
Binary, Isolation, Number, Source
8
What is the Margin of Error?
The amount of margins there should be in a FRAPPY
The number of chances you get to answer a question correctly
Tells how close estimate tends to be to unknown parameter
Tells how close estimate tends to be to unknown statistic
9
What is a parameter?
Number that describes some characteristic of the population
Similar to a pork chop, but used in statistics
The distribution of values taken by the statistic
Number that describes some characteristic of a sample
10
What is the Standard Error of the statistic?
When the standard deviation of a parameter is estimated
When the mean of a statistic is estimated
When the standard deviation of a statistic is estimated
When the mean of a parameter is estimated