Data Presentation

Question 1

What term do we give to describe the mini description of a table or graph?

Answer 1

Legend

Question 2

If the title is not given at the top of the data, where MUST it go?

Answer 2

In the first line of the legend.

Question 3

What are the four major components of a legend?

Answer 3

• Title
• Methods
• Results
• Definitions

Question 4

What needs to be said with regards to the title?

Answer 4

A sentence that either describes how the experiment was conducted, or ‘declares’ what the figure shows.

Question 5

What should be included in the method/results subsection of the legend?

Answer 5

A brief explanation of the findings, including the sample size and the p-values.

Question 6

What is the fourth component of a legend which helps the reader understand the data?

Answer 6

An explanation of any symbols, e.g. scale bars, error bars or abbreviations used.

Question 7

Which type of graph(s) helps us identify whether the results show a normal distribution?

Answer 7

• Histogram

- Box & Whiskers

Question 8

If you are comparing two variables (not correlation, simply comparing the incidence of x), which graph(s) would you use to display the data?

Answer 8

• Box & Whiskers

- Bar Chart

Question 9

“Is there a correlation between height and FVC?”

For each variable in the question above, identify whether the data collected would be:

a) qualitative or quantitative
b) continuous or discrete

Answer 9

Both height and FVC can be measured using NUMBERS, therefore they would provide QUANTITATIVE DATA.

Both sets of data will be CONTINUOUS because technically, you could fine tune your result to a more precise result (e.g. measure height in mm instead of cm).

Question 10

If both variables of a hypothesis were quantitative and continuous, what type of graph would be used to present the data?

Answer 10

A scatter plot