Quiz 1 Flashcards

1
Q

Field of Statistics

A

The theory of decision making

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2
Q

Population

A

Collection of all outcomes, responses, counts of interest

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3
Q

Sample

A

Subset of population

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4
Q

Parameter

A

Numerical characteristic describing a population

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5
Q

A Statistic

A

Numerical characteristic describing a sample

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6
Q

Types of Data

A

Qualitative and Quantitative

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7
Q

Qualitative Data

A

Qualities such as eye color, gender, hair color, etc.

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8
Q

Quantitative Data

A

Discrete: finite or countable infinite number of possibilities
Continuous: uncountably infinite number of possibilities
Ex. Weight, age, height

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9
Q

2 Types of Statistics

A
  1. Descriptive: used for organization and display of data

2. Inferential: used to draw conclusions about a population

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10
Q

Types of Samples

A
  1. Random Sample
  2. Simple Random Sample
  3. Probability Sample
  4. Stratified Sample
  5. Cluster Sample
  6. Systematic Sample
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11
Q

Random Sample

A

Every member of population has equal chance of being selected

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12
Q

Simple Random Sample

A

Every possible group of the same size has the same chance of selection

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13
Q

Probability Sample

A

All members of population have a chance to be selected, not all equal

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14
Q

Stratified Sample

A

Break population up into homogenous groups and take a SRS from each group proportionally

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15
Q

Cluster Sample

A

Sample entire subgroup

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16
Q

Systematic Sample

A

Sample every Kth person

17
Q

Density Histogram

A
Data
Bins
Step 1: Fraction = # of occurrences / n
Step 2: Height = frac / bin width
* subtract to find bin width don't add them all!
The area created by a D.H. is 1
18
Q

Notation

A
  • n = sample size
  • Xi = ith value
  • X(i) = ith smallest value
  • X(1) = Min
  • X(n) = Max
19
Q

Robustness

A

A statistic that is resistant to outliers

20
Q

Mean/Average

A

Sum from i = 1 to n of Xi all over n.

Xbar is NOT robust

21
Q

Median

A

M = X(n+1 / 2), n odd or X(n/2) + X(n/2 + 1), n even

* IS robust

22
Q

Mode

A

Most frequent value

23
Q

Mid Point

A

(Min + Max) / 2

24
Q

Are Robust

A

M, Mode, IQR

25
Q

Not Robust

A

Mean, Range, S, S^2

26
Q

Measures of Spread

A
  • Range
  • Sample Variance
  • Sample Standard Deviation
  • IQR
27
Q

Range

A
R = X(n) - X(1)
R = Max - Min
28
Q

Sample Variance (s^2)

A

s^2 = 1/n-1 (Sum i=1 to n of (Xi - Avg)^2)

29
Q

Sample Standard Deviation (s)

A

Sqrt(s^2)

30
Q

IQR - Inner Quartile Range

A

IQR = Q3 - Q1

31
Q

Data Summaries

A

Mean and s –> Symmetric Bell Curve

32
Q

5 # Summary

A

X(1), Q1, M, Q3, X(n) –> skewed

33
Q

Outlier Detection Methods

A

Method 1: Any point outside Mean+- 3(s)

Method 2: Any point > Q3+1.5(IQR) or

34
Q

Box and Whiskers Plot

A

5 # Summary left to right just as you’d think