Lecture 1b Flashcards
1
Q
population
A
entire group of things you want to make an inference on
2
Q
sample
A
- a collection of subjects within the population upon which we measure one or more variables
3
Q
Statistic vs parameter
A
- statistic- from the sample
- parameter- whole population
4
Q
noise
A
- variation in data that is not cared about
5
Q
Y, y, yi
A
- Y- the variable
- y- the actual value or observation
- yi- observation in the ith place
6
Q
Mean
A
- arithmetic average of a set of n data values
7
Q
Median
A
- the value of the data nearest to the middle
- splits the data in half
- if n is even number, average of 2 middle numbers
8
Q
Robustness
A
- Statistics with good performance for data drawn from a wide range of probability distributions
9
Q
Efficiency
A
- Takes full advantage of all the information in the data, so fewer observations or data points are needed to get the same performance
10
Q
Range
A
- Difference between the largest and smallest observations in a sample
11
Q
Variance
A
- sum of squared deviations/(n-1)
12
Q
Standard deviation
A
- square root of the variance
