Week 3 Flashcards

1
Q

3 types of central tendencies

A

Mean, median and mode

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

Dispersion

A

Variance, SD, range

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

How do you work out the range?

A

Difference between minimum and maximum values.

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

Mode evaluation:

A

+ not affected by outliers.
- there can be more than one mode, or no mode.

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

Mean evaluation:

A

+ gives weight to each score
- can be influenced by extreme scores

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

Median evaluation:

A

+ good to use with ordinal data
+ relatively unaffected by extreme/rouge scores
- less representative for datasets with no/small outliers.

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

What does the variance indicate?

A

The spread of the whole group of scores.

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

How do you calculate the variance?

A

1) calculate mean
2) subtract each data point from the mean
3) square each difference from the mean
4) take an average of these numbers (divide by n-1)

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

Limitation of variance

A
  • does not give useful information, calculation always results in high variance.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What does standard deviation mean?

A

Tells us how much all the scores in a data set vary around the mean.
Provides an indication of what is happening between the two extremes of the range.

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