Lecture 12: Bar Plots And Line Plots Flashcards

1
Q

Bar plots are also known as

A

Bar graphs

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2
Q

Bar plots (graphs) are useful and are a common way to visualize?

A

Mean comparisons

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3
Q

The top of each bar in a bar plot shows what in the given condition/group

A

The sample mean/sample statistic of interest

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4
Q

Be careful cause sometimes the visual differences can be misleading and it depends on the ________ range

A

Y-axis

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5
Q

For ratio-scale variables we want the y-axis to start from ____ so that the relative sizes of the bars correspond to the relative quantities

A

Zero

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6
Q

Heights of the bars are usually _______ so they aren’t that meaningful in themselves without knowing the _______ _____

A

Estimates

Standard error

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7
Q

What do we put on top of bars to indicate the size of the standard error?

A

Error bars!

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8
Q

Error bars don’t always represent standard errors. Sometimes they represent: (2)

So we should always include a _____ so that the reader knows how to interpret them

A
  1. Confidence intervals
  2. Standard deviations

Note

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9
Q

Sometimes different bars are different colors and can be useful in some cases. Name an example

A

When there are many graphs that all use the same color scheme!

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10
Q

Unnecessary fancy distractions in a graph is called:

A

“Chart junk”

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11
Q

Line plots are also known as

A

Line graphs

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12
Q

Line plots are typically used for ____ ____ data

A

Time series data

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13
Q

Time series data

A

Data collected when taking repeated measurements at different time points

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14
Q

To plot a line graph how do you do it?

A
  1. Plot individual points
  2. Connect the points with line segments

To emphasize the direction change from one time to the next

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15
Q

The x-axis variable in a line plot can be some other quantitative variable besides time eg.

A

Dosage of a drug

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16
Q

Do line segments between points represent data?

A

Nope - they just indicate direction of change between two points

17
Q

Is it useful to include error bars in line graphs?

18
Q

Whats the best approach to plot data points in line graphs?

A

Showing all individual measurements as points instead of only showing the means! —> it provides much more information