4. Hypothesis Testing Flashcards

1
Q

What is a null hypothesis?

A

Takes the sceptical viewpoint

Crafted as ‘no difference’ where a difference in a parameter is being measured

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is an alternative hypothesis?

A

An alternative parameter value that is proposed by the H0

Crafted for the sake of testing something meaningful to an investigator

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a 1-sided test?

A

A parameter being greater than or less than its value predicted by H0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is a 2-sided test?

A

A parameter being different H0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is a critical value?

A

A values used to compare to a test static to avoid errors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is a p-value? what does it tell you?

A

A value that determines the probability of an observation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is Type I error? What level of Type I error is considered standard in science?

A

Rejecting the null hypothesis when the null hypothesis is true

5% is an acceptable type 1 error
hence Fisher proposed CV is alpha = 0.05

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is Type II error? How does Type II error relate to statistical power?

A

Failing to reject the null hypothesis when the null hypothesis is false

The critical value beta is used as an acceptable type 2 error.

Statistical power = 1-beta
(used to calculate the sample size needed in an experiment)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are some reasons we would fail to reject H0 when it is false (type 2 error)?

A

The size to the effect we are measuring is small

The sample size is too small

The variance (σ ) is too large

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Explain what is meant by: Correlation is not causation

A

the appearance of correlation does not mean the explanatory variable can be used to predict the response variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is a ‘hidden’ variable?

A

a variable in a belief network whose value is not observed for any of the examples

there is no column in the data corresponding to that variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is Simpson’s Paradox?

A

the existence of data for which a
statistical association holds for a population but is reversed in a subpopulations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is Occam’s razor?

A

among the theories that fit the data equally well, choose the simplest
theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly