Visualisation

Question 1

Why is skewness important?

Answer 1

Helps visualise your data and describe it,

Helps to see if data is deviated from the normal distribution.

Question 2

What does a big standard deviation mean?

Answer 2

Data is more spread out- less reliable

Smaller sd means data is more clusters together- more reliable.

The closer to 0 the better

Question 3

What is a bimodal histogram?

Answer 3

When there is two peaks
Is symmetric (ish)
Mean and median doesn’t represent the data well
Boxplot can hide the shape/ distribution of the data

Question 4

What is flatness?

Answer 4

Scores are more spread out around the mode

Question 5

What is steepness?

Answer 5

Scores are tightly packed around the mode

Question 6

How should you visualise data?

Answer 6

Start with histograms,
Interpret any weirdness/participants/experiment used,
Then use boxplots
Then calculate descriptive statistics

Question 7

What’s a statistics model?

Answer 7

Collect data about a phenomenon
Simplified representation of reality
Look for trends or patterns

Simple one is:
Describing central tendency and variability in a measure

Complex:
Network of how different variables connect to eachother

Question 8

How do you build a statistical model?

Answer 8

Find a phenomenon
Create a theoretical model & create study,
Collect data,
Visualise and interpret the variability
Describe variation using descriptive stats
Build & interpret statistical model

Question 9

Why do we need statistical models?

Answer 9

Make conclusions about a lot of people by studying a few,
Hypothesis testing- p values
Estimation- size of the effects, how much of an improvement
Predict the future

Tells us how much one variable matters