Revision Flashcards

lecture 11

1
Q

What is the hypothetico-deductive method?

A

proposed discription of the scientific method.

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

What are the key steps of the hypothetico-deductive method?

A
  1. Observation
  2. Model
  3. Hypothesis
  4. Experiment
  5. Result reporting
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Why is it usefull to establish an alternate and null hypothesis before you experiment?

A

Null hypothesis - know what you will reject or accept
Idicates the question or direction effect if we can reject our null hypothesis we can accept an alternative one. t-tests and tail tests.

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

What is an independant variable?

A

The variable that you control and manipulate.

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

What is the dependant variable?

A

The variable that you measure.

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

What is the confidence interval?

A

95% confidence level in the middle in two tailed tests.

way to express the precision of the estimate of the population.

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

How do we reliably estimate population parameters?

A

Randomisations - avoiding bias
Replication - more reliable and allows repetition
Control - shows what we are measuring is what actually is being changed.

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

What is central tendency?

A

summary to measure a whole set of

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

What do we use to measure the central tendency of parametric data?

A

The mean

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

What do we use to measure the central tendency of non-parametric data?

A

Mode and median

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

Why is a normal distribution advantageous?

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

What is the central limit theorem?

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

What 4 things affect the power of statistical tests?

A
  1. Sample size
  2. variability of data
  3. magnitude of the difference between sample means
  4. Type 1 error probability
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is a type 1 error?

A

False positive - rejecting the null hypotheses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is a type 2 error?

A

False negative - accepting the null hypotheses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

comparing 2 independant samples?

Samples

A

for parametric data = t-test
for non-parametric data = mann-Whitney U-test

17
Q

comparing 2 non-independant samples?

Paired samples

A

for parametric data = paired t-test
for non-parametric data = Wilcoxon text

18
Q

One tailed test

A

H0- No difference between the two groups.
HA- Mean on one group is larger or smaller than the other.

19
Q

Two tailed test

A

H0- No difference between the two groups.
HA- Mean of one group is different to the other group

20
Q

What are the 4 assumptions of the t-test?

A
  1. follow continuous or ordinal distribution
  2. Smaples are independant of eachother
  3. follow normal distribution
  4. variance is the same
21
Q

What is the Levene’s test?

A

Test for equal variance
before the independant t-test
p>0.05 - equal
p<0.05 - unequal