533 Final

Front 1

Modus Ponens

Back 1

If P implies q and q is true, then p is also true

Front 2

Modus tollens

Back 2

If p implies q and q is false, then p is false

Front 3

Bacon's Idols of the tribe

Back 3

Tendency of humans to see patterns where none exis

Front 4

Bacon's Idols of the Cave

Back 4

Errors caused by personal biases derived from one's culture, upbringing, or personal tastes.

Front 5

Bacon's Idols of the Forum

Back 5

Imprecision and disagreement in the definition of natural language terms

Front 6

Bacon's Idols of the Theatre

Back 6

False systems of reasoning (logic errors)

Front 7

Method of Agreement

Back 7

Co-occurrence of factors

{ABCD} occurs w/ {wxy}

{AEFG} occurs w/ {wtuv}

Front 8

Method of difference

Back 8

If we take away the expected cause, does the expected response disappear?

Front 9

Joint method of difference and agreement

Back 9

Method of agreement "a sufficient condition"

Method of difference "a necessary condition"

{ABC} occur w/ {xyz}

{ADE} occur w/ {xvw}

{BC} occur with {y,z}

therefore A ==> x V (x ==> A)

Front 10

Method of Concomitant Variation

Back 10

Same as joint, but with varying amounts

Front 11

Method of Residues

Back 11

{ABC} occur w/ {xyz}

B ==> y

C ==> z

therfore A ==> x

Front 12

Inductive v. Deductive

Back 12

Inductive does not guarantee the truth of the conclusion, deductive reasoning cannot provide information that was not already encoded in the premises and rules of logic.

Front 13

Telford: Fundamental principles of experimental design

Back 13

Randomization, Replication, Blocking, Orthogonality, Factorial experimentation

Front 14

What are treatments

Back 14

The different procedures we want to compare

Front 15

What are Experimental Units

Back 15

The things we're applying treatments to

Front 16

What are Responses

Back 16

The outcomes of applying treatments to experimental units

Front 17

What are Measurement Units

Back 17

Actual objects on which the response is measured

Front 18

What is inductive inference?

Back 18

Looking at probability as a fraction of possible events

Front 19

What is Ddeductive Inference?

Back 19

Includes everything we know and uses Baysian logic to test

Front 20

Solomon four-group design

Back 20

1. divided into 4 groups randomly (two control, two experimental)

2. One set is given pre- and post-tests, the other only postRepli

Front 21

Risidual

Back 21

Distance between observed and actual values

Risidual sum of squares: summation of all em (the least squares criterion)

Front 22

Replicates?

Back 22

Should vary ALL confounding factors

Front 23

R^2

Back 23

1 - RSS/variance

aka - the proportion of the variance explained by the model

Front 24

Variance Reduction Techniques

Back 24

Common Random Numbers

Conditional Expectation

Front 25

Performance Metric

Back 25

Dimension of an algorithm performance that can be measured (time, space, precision)

Front 26

Parameter

Back 26

Any property that affects the value of a performance indicator

Front 27

Performance Indicator

Back 27

A quantity associated with a performance metric

Front 28

Experimental Design Template

Back 28

- Question

- Performance indicators

- Factors

- Levels

- Trials per design point

- Design points

- Outputs

Front 29

TSS

Back 29

sum(y - yavg)^2 = factor1 + ... + factork + SSE

Front 30

Greater SST?

Back 30

Larger(SST sum of squares for treatment) give greater the evidence for rejecting the null hypothesis

Front 31

Sums of Squares Treatment

Back 31

n sum(mean of treatment - mean of system)^2