11MA1 Bivariate & Multivariate Data Flashcards

1
Q

What are you trying to find with bivariate data?

A

The relationship between 2 different variables of the same item. e.g. height and weight

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

What do you need to identify from the bivariate question?

A

The 2 variables, and the population

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

Once you have the bivariate variables what do you do with them?

A

Find 2 variations and how to manage them for each variable

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

What type of graph is used to display bivariate data?

A

Scatter plot

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

When analysing bivariate data, what is the first thing you look at?

A

Type of relationship:
1. Linear (data points follow a straight line)
2. Non-linear (data points follow a curve or have no apparent line)

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

What is the second thing you look at on the scatter plot?

A

Direction:
1. Positive (trend line going up to right)
2. Negative (trend line going down to right)

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

What is the third (last) thing you look at on the scatter plot?

A

The strength of the data points (how close the data points are to the trend line)

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

What are the different types of strength?

A
  1. Strong (close to trend line)
  2. Moderate (some close, some far)
  3. Weak (all points scattered, no pattern)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What’s in the conclusion for bivariate data? Reflection, etc.

A
  1. Do your results seem reasonable?
  2. Would you expect to get the same results if your investigation was repeated?
    Reflection:
  3. How could you improve the reliability of your results?
  4. Any other factors that could have affected your results?
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What must you have in the question for multivariate data?

A

‘tend(s) to’

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

What are you looking at with multivariate data?

A

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.

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

What do you need to identify from the multivariate question?

A
  1. 1 variable
  2. (at least) 2 groups
  3. the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are the types of graphs that are used for multivariate data?

A
  1. Dot plot
  2. Box and whisker (high box plot)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are the things we look at in a multivariate graph?

A
  1. Centre - median
  2. Spread - range and inter quartile range
  3. Shape - Bell, right skew, left skew, bimodal, uniform or irregular
  4. Interesting features - outlier(s), cluster, gaps
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

When making a call, what is the first case you look for?

A

Case 1: NO overlapped boxes - can make a call

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the second case you look for if case 1 doesn’t apply?

A

Case 2: Median of one is outside box of the other sample - can make a call

17
Q

What is the last case you look at if the first 2 don’t apply?

A

Case 3: Both boxes overlap & medians are inside the other samples box?
Samples 30 & over?
= DBM > OVS / 3 ?
Sample 100 & over?
= DBM > OVS / 5 ?
A claim can only be made if the DBM is greater than the divided OVS.

18
Q

When giving evidence, what are the three things you can say depending on the outcome?

A
  1. I can claim that…
  2. I can claim that it is likely that…
  3. I don’t have enough information to claim that…

…(group1) is greater than (group2) in the population.