Presentation of quantitative data (graphs)

Question 1

What are Summary Tables used to represent

Answer 1

descriptive stats

Question 2

What are Scattergrams used to represent

Answer 2

correlations

Question 3

What are Bar Graphs used to represent

Answer 3

discrete data in categories (nominal)

Question 4

What are Histograms: used to represent

Answer 4

continuous data (interval)

Question 5

What are Normal & Skewed Distributions used to represent

Answer 5

distributions (extreme values)

Question 6

When does a positive/weak positive
correlation occur?

Answer 6

A positive/weak positive correlation occurs where one co-variable increases as the other co-variable increases. Example- ice cream sales increase as the temperature increases.

Question 7

When does a negative/weak positive
correlation occur?

Answer 7

A negative/weak negative correlation is where one co-variable increases while another co-variable decreases. Example- raincoat sales decrease as sunny weather increases.

Question 8

What is A zero correlation?

Answer 8

A zero correlation is where there is no distinct relationship shown between the two variables. The individual participant marks randomly appear on the scattergram.

Question 9

What is a Positive skew?

Answer 9

Where most of the distribution is concentrated towards the left of the graph, resulting in a long tail on the right. Imagine a very difficult test in which most people got low marks with only a handful of students at the higher end: this would cause a positive skew.

Question 10

What is a Negative skew?

Answer 10

Where most of the distribution is concentrated towards the right of the graph, resulting in a long tail on the left. A very easy test would produce a distribution where the bulk of scores are concentrated to the right.

Question 11

What are the qualities of a normal distrubution?

Answer 11

Mean, median and mode are all at the midpoint of our curve, therefore the data is distributed symmetrically.

Scores are dispersed consistently around the midpoint, we can therefore express this distribution in standard deviations.