11MA1 Bivariate & Multivariate Data Flashcards
What are you trying to find with bivariate data?
The relationship between 2 different variables of the same item. e.g. height and weight
What do you need to identify from the bivariate question?
The 2 variables, and the population
Once you have the bivariate variables what do you do with them?
Find 2 variations and how to manage them for each variable
What type of graph is used to display bivariate data?
Scatter plot
When analysing bivariate data, what is the first thing you look at?
Type of relationship:
1. Linear (data points follow a straight line)
2. Non-linear (data points follow a curve or have no apparent line)
What is the second thing you look at on the scatter plot?
Direction:
1. Positive (trend line going up to right)
2. Negative (trend line going down to right)
What is the third (last) thing you look at on the scatter plot?
The strength of the data points (how close the data points are to the trend line)
What are the different types of strength?
- Strong (close to trend line)
- Moderate (some close, some far)
- Weak (all points scattered, no pattern)
What’s in the conclusion for bivariate data? Reflection, etc.
- Do your results seem reasonable?
- Would you expect to get the same results if your investigation was repeated?
Reflection: - How could you improve the reliability of your results?
- Any other factors that could have affected your results?
What must you have in the question for multivariate data?
‘tend(s) to’
What are you looking at with multivariate data?
Comparing a variable between 2 groups. e.g. the heights (variable) of boys (group 1) tend to be greater than girls (group 2) of NZ schools.
What do you need to identify from the multivariate question?
- 1 variable
- (at least) 2 groups
- the population
What are the types of graphs that are used for multivariate data?
- Dot plot
- Box and whisker (high box plot)
What are the things we look at in a multivariate graph?
- Centre - median
- Spread - range and inter quartile range
- Shape - Bell, right skew, left skew, bimodal, uniform or irregular
- Interesting features - outlier(s), cluster, gaps
When making a call, what is the first case you look for?
Case 1: NO overlapped boxes - can make a call