Reporting Data: Numerical Flashcards

1
Q

What are the two rules we adhere to during hypothesis tests?

A
  1. Must Report exact p-values
    -Never use inequalities(e.g., p = 0.125 vs p > 0.05; p = 0.012 vs p < 0.05)
    -unless p is very small(e.g., p = 0.0000001 can be shown as p < 0.001)
  2. Must co-report that affect p-values
    -Sample size (e.g., n = 25)
    -Effect size (e.g., differences in means)
    -Precision (confidence intervals)
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2
Q

Bright-line threshold?

A

It is p<0.05

A bright-line rule (or bright-line test) is a clearly defined rule or standard, composed of objective factors.

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3
Q

What is an alternative to bright-line hypothesis?

A

Another approach is to let the reader interpret the result

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4
Q

CI relationship to Precision?

A

CI is wide and thus decreases precision

CI is narrow and thus increases preciison

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5
Q

Three ways to report results?

A
  1. Test Statistic(t-test)
  2. Analysis of variance(ANOVA)
  3. Simple Linear Regression
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6
Q

What kind of errors does Bright-line analysis bring?

A

“Bright-line” analysis brings in type I and type II errors

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7
Q

Type I error?

A

When the null hypothesis is true, and you reject it

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8
Q

Type II error?

A

When the null hypothesis is false, and you fail to reject it

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9
Q

Probability of type I/II error to satistical significance?

A

Probability of a Type I error is equal to the level set for statistical
significance

Probability of a Type II error is dependent on the statistical power

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10
Q

Accuracy vs Precision?

A

Image result for accuracy vs precision
Precision and accuracy are two ways that scientists think about error. Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other.

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11
Q

What is precision as high as?

A

Precision is only as high as that of the instrument used to make the measurement

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12
Q

When is precision inflation seen?

A

Precision “inflation” often seen when making calculations

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13
Q

What is precision limited by?

A

When making calculations, precision is limited by the instrument with the lowest precision

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14
Q

What do we limit the precision to?

A

Limit the level of precision to what is useful to the reader

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15
Q

Reporting results and SI units?

A

Use SI units unless there is a historical unit that is used by convention

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16
Q

Reporting results and large numbers?

A

Do not split large numbers using commas

17
Q

Reporting results and commas/decimals?

A

Do not use commas instead of decimal places

18
Q

Reporting results and summary measurement?

A

Indicate how summary measures are presented

19
Q

Anatomy of a good figure for a continuous vs continuous scale? SCATTER PLOTS

Figure Heading
Legend
Axis
Axis Scale
Axis length
Key site

A

Have no figure heading

The legend goes under the figure

Use appropriate axis labels with measurement units

Use the appropriate axis scale. It should not be too cluttered.

Set axis length to avoid too much white space

Key within the plot area(unless unavoidable) or directly label the data

20
Q

Anatomy of a good figure for a continuous vs categorical scale? BAR CHARTS

Plot to use
Figure head position
App for box-and-whisker plot

A

Box-and-whisker plot

Positioned below

Ms Excel is useless at drawing box-and-whisker plots. Rather use the free app: poltr

21
Q

Should we use dynamite plots for bar charts

A

NO

They hide important information

22
Q

When do use bar charts?

A

For categorical scale: Frequency or proportion plots

23
Q

What should you use when you are trying to get across exact figures?

A

Choose a table over a figure

24
Q

Anatomy of a good table?

Vertical Lines
Horizontal Lines
Information in column
Extra information
Title
Numbers

A

No vertical Lines

Few horizontal lines. No horizontal lines in body

Always put things you want to compare in columns

Extra information must be put in the footnote under the table

Put the short title at top of the table

Rightly justify numbers. Do not use commas or non-divisible figures if not necessary