Data analysis Flashcards

1
Q

What mnemonic can be used to remember the qualities of good information?

A

ACCURATE

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

What does ACCURATE stand for?

A
Accurate
Complete
Cost-beneficial
User-targeted
Relevant
Authoritative
Timely
Easy to use
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What type of analysis is used to draw conclusions about a set of data?

A

Inferential statistics

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

What type of analysis is used to identify a pattern in a set of data?

A

Exploratory data analysis

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

What type of analysis confirms a hypothesis using statistical methods?

A

Confirmatory data analysis

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

What is selection bias?

A

When a sample is not chosen randomly so might not represent the whole population

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

What is self-selection bias?

A

When individuals select whether or not to include themselves as part of a sample

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

What is observer bias?

A

When assumptions of a researcher can influence observations

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

What is omitted variable bias?

A

When a variable is left out when data is being analysed

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

What is cognitive bias?

A

When someone can misinterpret information subconciously

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

What is confirmation bias?

A

When information is processed with previous existing beliefs

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

What is survivorship bias?

A

When a sample only contains items that have survived a previous event e.g. only focussing on successful businesses

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

What is a Type I error?

A

When the null hypothesis is true but gets rejected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is a Type II error?

A

When the null hypothesis is false but gets accepted

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

What are the four Vs of big data?

A

Volume
Variety
Velocity
Veracity

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