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Fill-in-the-blank flashcards covering key points on data representation, types of graphs, graph-making guidelines, lines of best fit, gradients, and the straight-line equation.
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In science, data is a collection of __ information gathered through observation and experimentation.
factual
We often use data __ tools, such as charts, graphs, and heat maps, to simplify large data sets.
visualising
The three broad categories of data‐visualising tools mentioned are __, graphs, and heat maps.
charts
Our main focus in this chapter is on __ as a data representation tool.
graphs
Graphs condense large amounts of information into an organized, easy-to-read manner and allow you to obtain __ you have not directly measured.
data
A __ graph is composed of discrete bars that represent different categories of data.
bar
The length or height of each bar in a bar graph is equal to the __ within that category.
quantity
A __ graph shows the relationship between an independent and a dependent variable.
line
Line graphs are especially useful for showing __ in data over time and for making predictions.
trends
To remember what you need to create a graph, use the acronym T.A.I.L.S., which stands for Title, Axis, Interval, __, Scale.
Labels
When making a graph, the first step after collecting data is to represent that data in a __ form.
table
The ‘T’ in T.A.I.L.S. reminds you to give your graph a __.
title
The ‘A’ in T.A.I.L.S. reminds you to identify both __ of the graph.
axes
The ‘I’ in T.A.I.L.S. represents choosing an appropriate __ between tick marks.
interval
Drawing a __ of best fit does not mean simply connecting dots with straight lines.
line
The __ (or slope) of a line indicates how fast the line rises or falls.
gradient
For a straight-line graph, the gradient can be found using the formula (y₂ − y₁) ÷ (x₂ − x₁); this is commonly written as __.
rise/run
When drawing a gradient triangle, the horizontal change is the ‘run’ and the vertical change is the __.
rise
A line sloping upward from left to right has a __ gradient.
positive
The general equation of a straight line is written as __, where m is the gradient and c is the y-intercept.
y = mx + c