Statistics 1

Question 1

Why study statistics?

Answer 1

Standardisation and comparison
there are limits to qualitative and quantitative data
they can apply to human and natural cases

Question 2

What are 5 key considerations when using statistics?

Answer 2

Appropriate design of sampling framework for project
Scale type of research (intensive [small scale] or extensive [large scale])
Data type (primary or secondary)
Sample size and representation of population
Limitations of data and sources of error

Question 3

What are the three sampling types?

Answer 3

Random: relatively homogenous data set where each unit has equal chance of selection
Systematic: temporal/spatial intervals of population mean that you need to represent each interval
Stratified: heterogeneous population, you need to capture each subset

Question 4

What is accuracy, precision and bias within the statistics?

Answer 4

Accuracy: difference between sample and population results
Precision: reproducibility of result
Bias: variation from population parameter interested in