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GuidePublished 16 Aug 202615 min readBy KEVOS Editorialpresenting data in tableseffective digits roundingtable construction rules researchunivariable bivariable multivariable table
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KEVOS AIPresenting Data in Tables

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Presenting Data in Tables

Two consecutive slides carry the whole of the week's instruction on tables. This page reproduces all seven rules and the typology, and marks the one figure the source states twice in two incompatible registers.

Reading time17 minutes
LevelCore
Topic streamQuantitative Analysis
Source materialQuantitative Data Analysis
Updated2026-08-16

In brief

  • Seven rules across two slides, plus a three-type typology by the number of variables in the table. The source states no count for any of them.
  • The one figure in the guidance — two or three effective digits — is given as "the basic requirement" and, one line later, as what is "often" done. Both formulations are reproduced here because the source does not say which governs.
  • "Effective digits" is defined as those that represent important changes in the data, with no test for importance and no worked example.
  • Rule 2 requires averages for rows and columns where appropriate. The week defines three averages and never says which one to report.
  • No table is displayed anywhere in the week. The rules are stated and never demonstrated on data.

Where the table rules sit, and how much of them there is

The whole of the week's instruction on tables is two consecutive slides. For this material they are unusually specific: they tell you how much precision to print, how to order rows and columns, where to put the comparison you want a reader to make, what to do about grid lines and labels, and how to classify a table by the number of variables in it.

That specificity is worth using, and it is worth knowing exactly where it stops. Several of the decisions a table forces on you are not settled anywhere in the supplied material — nor on the companion slides covered at Presenting Data in Graphs.

Note

How this week is sourced

Week 11 is represented in the supplied material by a slide deck alone. Its study notes appear in the upload manifest, in both formats the manifest names, and are not present on disk. It is the only week in the subject with no notes, and it is the week carrying the entire quantitative content.

Every other week supplies notes as well as slides, and in those weeks the notes carry the definitions while the slides carry the lists. So every gap recorded on this page is a gap in the supplied material, not evidence that the subject as taught omitted the point — the missing notes may well have covered it. What it does mean is that you cannot get the point from what was supplied. The consolidated record of these absences is at What This Material Does Not Teach.

From the source

The first tables slide, quoted in full

"It is important to consider how many digits need to be provided to the reader to make a judgement about important differences in the data."

"Providing lists of numbers with many decimal points, for example, is distracting when most of the differences between the measurements are contained in the first one or two digits of the number. The basic requirement is to keep the number of effective digits i.e. those that represent important changes in the data, to two or three by appropriate rounding."

THE SEVEN TABLE RULES, AS THE SOURCE STATES THEM

Rule, quotedSlideWhat it settlesWhat it leaves open
"Use the appropriate number of effective digits (often 2-3)"FirstHow much precision to printWhat makes a change important; and the figure was stated two lines earlier as a requirement, not a tendency
"Provide averages for rows and columns where appropriate"FirstThat averages belong in the margins of a tableWhich average. The week defines three and does not choose between them
"Where possible order rows and columns by size"FirstThe default ordering of a tableWhat to do when a natural order — time, phase, category — competes with size
"Present the main comparison in a column as numbers are easier to read vertically rather than horizontally"FirstWhich axis carries the comparisonThe reading claim is asserted with no source, evidence or exception
"Avoid overly intricate grid patterns; use regular spacing of rows and columns etc."SecondThat heavy ruling and irregular spacing are faultsThe list closes with "etc."; no other formatting rule is given
"Use labels where appropriate to clarify the information in the table"SecondThat labels are requiredWhat a label must contain. Units, sample size and data source are named nowhere
"Provide a brief summary to focus the reader's attention on the main features of the table"SecondThat a table needs prose beside itHow long it should be, where it sits, what it must cover

The count of seven is derived by reading the two slides; the source states no count on either. Four rules appear on the first slide and three on the second.

Effective digits: a requirement and a frequency, two lines apart

The prose sets the figure as an obligation — "The basic requirement is to keep the number of effective digits … to two or three by appropriate rounding". The rule that follows one line later restates the same figure as a tendency — "often 2-3". A requirement and an observation about frequency are different kinds of statement, and the source does not say which of the two governs.

Reproduce both when you cite this. If you round to three digits and someone asks on what authority, the honest answer is that the supplied material states it as a basic requirement in one sentence and as common practice in the next.

2–3effective digits — stated as "the basic requirement", restated one line later as "often 2-3"
7table rules across the two slides; the source states no count
0tables displayed anywhere in the week to illustrate any rule
Source gap

A definition that cannot be applied on its own

"Effective digits" is defined as "those that represent important changes in the data". For practical purposes that is circular: to know which digits are effective you must already know which differences matter, and the source supplies no test for importance, no example of a number rounded well and no example of one rounded badly.

The material also does not settle whether the two-to-three figure counts significant figures or decimal places. The rule says "digits"; the prose beside it talks about "many decimal points". Do not treat either reading as authorised by this source — decide, and say in your text which you applied.

Ordering, averages and the direction of reading

Three of the four rules on the first slide are about arrangement rather than content, and they are the ones most likely to change how a finding lands. Ordering rows and columns by size puts the extremes at the ends where a reader can find them. Presenting the main comparison down a column exploits the claim that numbers are easier to read vertically. Providing marginal averages gives the reader a reference point for every cell.

The second of those rules is the one that will stop you. It requires an average and does not name one, and the week's own vocabulary table defines three — see Measures of Central Tendency. The choice is not cosmetic: the deck's own worked example of an extreme value shows a survey average of $10,000 collapsing to a maximum of $1,000 once one respondent is removed, which is a demonstration that the choice of average changes the answer. That example is offered by the source as an illustration and is discussed on Handling Outliers; the deck never connects it to the table rule.

Source gap

Rule 2 requires an average and the week will not say which

The rule reads "Provide averages for rows and columns where appropriate". Seven slides earlier the deck defines the mean, the median and the mode, and it never states a basis for preferring one in a table margin, never says whether row and column averages should be the same statistic, and never mentions weighting a marginal average by the number of cases behind it.

It also never says what "where appropriate" excludes. A margin average of a set of codes standing for categories is arithmetic on labels, and nothing in the supplied material warns against it.

The typology: three table types by number of variables

From the source

The second tables slide, quoted in full

"Avoid overly intricate grid patterns; use regular spacing of rows and columns etc."

"Use labels where appropriate to clarify the information in the table"

"Provide a brief summary to focus the reader's attention on the main features of the table."

"The types of table you select depend on the number of variables you select. Tables may be categorised as" univariable (one variable), bivariable (two variables), multivariable ("more than two variable").

"Typically researchers use percentages as a method to interpret data. This may be straight percentages, accumulated percentages (Pareto) or ratios"

THE TABLE TYPOLOGY AS THE SOURCE GIVES IT

TypeNumber of variablesConstruction guidance supplied
univariableOne variableNone beyond the seven rules
bivariableTwo variablesNone
multivariable"more than two variable", in the source's wordingNone

The source says the type you select depends on "the number of variables you select" and gives no guidance on selecting them. For the two-variable case it supplies no layout, no statement of what goes in rows versus columns beyond the vertical-reading rule, and no method for computing row or column percentages. The word cross-tabulation does not appear anywhere in the week.

Source gap

One idea, two spellings, no reconciliation

The typology slide uses "multivariable". An earlier slide, asking whether your data meet the statistical assumptions underlying "the multivariate technique I will be using", uses "multivariate". The deck never says the two words denote the same idea, and the conventional forms — univariate, bivariate, multivariate — appear nowhere else in the week.

If you are writing a methodology chapter, pick one form, use it consistently, and take your definition from a cited methods text rather than from this material, which supplies none for either spelling.

Percentages, accumulated percentages and ratios

The slide names three ways of turning counts into something interpretable: straight percentages, accumulated percentages — glossed in parentheses as "Pareto" — and ratios. The observation behind it is worth acting on: a table of raw counts makes a reader do arithmetic, and a table of proportions does that arithmetic for them. Which of the three suits your data depends on how the variable was measured, and the week never joins those two ideas; see Levels of Measurement.

That is as far as the source goes. It names three treatments, defines none of them, and gives no example of any. No percentage figure appears anywhere in the week's presentation slides, so there is not even an illustration of what a correctly rounded percentage looks like under the effective-digits rule.

Source gap

Two labels with nothing behind them

"Pareto" appears once, in parentheses, as a gloss on accumulated percentages. No chart of that name is described, no principle of that name is stated, and the term appears nowhere else in the week. Treating it as a plain synonym for a cumulative percentage is at best partial, and the source gives you no basis for going further.

"Ratios" is named and never defined, and no example of a ratio is given anywhere. A reader who does not already know what to divide by what will not learn it here.

What the two slides settle and what you must bring

Settled by the source

  • Print two or three effective digits, by rounding
  • Put averages in the row and column margins where appropriate
  • Order rows and columns by size where possible
  • Run the main comparison down a column, not across a row
  • Keep the grid plain and the spacing regular
  • Label the table, and put a short summary beside it
  • Name your table by the number of variables it holds

Not settled anywhere in the week

  • Which average a margin should carry
  • Whether the digit rule counts significant figures or decimal places
  • How to lay out a two-variable table, or compute its percentages
  • What a label must state — units, sample size and source are named nowhere
  • What a Pareto treatment or a ratio actually is
  • Any measure of spread to report beside an average
  • What a finished table looks like — none is shown
Note

This page sits under a partly delivered objective

The week states three learning objectives. The third — to plan presentation styles for quantitative data — is the best delivered of them and is still incomplete: the audit of this week records that it supplies rules and purposes but no worked table, no surviving chart image, no rule for choosing among displays, no link between how a variable was measured and how it should be shown, and no measure of dispersion to present.

The table rules on this page are the strongest part of that delivery. They are also the part that stops precisely where a reader would begin to need an example.

Working the rules into a research report

The source does not prescribe the following; it is a way of using what the source does say without over-claiming. Each row below turns one of the seven rules into a decision you have to record somewhere in your method or your table notes.

Turning the rules into decisions you can defend

IfYour table is the main evidence for a finding
ThenRun that comparison down a column. The source states the vertical-reading rule without exception, so if you depart from it, say why in the text beside the table.
IfYour rows have a natural order — phase, seniority, month
ThenThe size-ordering rule competes with it. The source ranks neither, so choose deliberately and state the choice in the brief summary the seventh rule requires.
IfYou are putting an average in a margin
ThenName which average it is, in the label. The rule requires an average and the week defines three without choosing, so the label is doing work the source left undone.
IfYou need to show one variable against another
ThenThe typology names the table bivariable and supplies no layout at all. Take the layout and the percentage base from a cited source and attribute them there, not here.
IfA reader will want to know how much the numbers vary
ThenThe week gives you no measure to report — see Variation and Spread. Say so, or source a measure elsewhere and cite it.

A pre-flight check on any table you are about to publish

  • Every column is rounded to a consistent number of effective digits, and the caption or notes say which convention you used
  • Row and column averages, where present, are named — not just "average"
  • The comparison you want read runs down a column
  • Rows and columns are ordered by size, or the departure from that order is explained
  • The grid is plain; nothing is ruled that does not need to be
  • Every row, column and unit is labelled, and the number of cases behind the table is stated somewhere — the source never asks for it
  • A short summary sits beside the table and states the main feature you want noticed
  • Anything beyond the seven rules — a percentage base, a measure of spread, a two-variable layout — is attributed to the source you took it from
Caution

The failure this material makes most likely

A table of margin averages with nothing beside them to show how much the underlying numbers vary. The week requires the averages, names three without choosing, and supplies no measure of dispersion at all — so the table these rules produce is exactly the shape that hides variation. A reader cannot tell a tight distribution from a widely dispersed one with the same average, and neither tables slide mentions spread, so nothing here will warn you.

What to carry forward

  1. Seven rules, one typology and three percentage treatments — that is the whole of the week's table guidance, and it is the most concrete instruction in it.
  2. Reproduce the two-or-three-digit figure in both of its forms. The source states it as a requirement and, one line later, as a tendency, and does not resolve the difference.
  3. The rule requiring marginal averages is unusable as stated until you decide which average, because the week defines three and chooses none.
  4. Pareto, ratios and the two-variable table are labels without content in this material. Take them from a cited source and attribute them there.
  5. Nothing here tells you how to show variation, and no table anywhere in the week demonstrates any of the rules.

Frequently asked questions

How many digits should a table in my report carry?

The supplied material states that the basic requirement is to keep the number of effective digits to two or three by appropriate rounding, and then restates the same figure as what is "often" done. It does not say which formulation governs, and it does not say whether it means significant figures or decimal places. Apply one reading consistently and say in your text which you applied.

What are effective digits?

The source defines them as "those that represent important changes in the data". It gives no test for importance and no worked example, so the definition tells you the principle and not the procedure. In practice you decide what size of difference matters for your research question and round to the precision that shows it.

Which average should I put in the row and column margins?

The material does not say. The table rule requires averages "where appropriate" and the week's vocabulary table defines the mean, the median and the mode without ranking them for this purpose. Name whichever you use in the label, and be aware that the week's own extreme-value example shows the choice changing the answer.

Does the source explain how to build a cross-tabulation?

No. It names a bivariable table as one holding two variables and supplies nothing else — no layout, no statement of what belongs in rows against columns beyond the vertical-reading rule, and no method for row or column percentages. The word cross-tabulation does not appear anywhere in the week.

What is meant by accumulated percentages (Pareto)?

The source names the treatment and glosses it in parentheses as Pareto, and stops there. No chart, principle or example of that name appears anywhere in the week, so the term is a label with nothing behind it in this material. If you use it, define it from a cited source.

Why does this page keep saying what the source does not contain?

Because the week is represented by a slide deck alone — its study notes were listed in the upload manifest and were not supplied — and in every other week the notes carry the definitions. Recording an absence tells you accurately where a second source is needed, which is more use than a plausible definition attributed to material that does not hold one.

References and source attribution

  1. Veal, A. J. 2005, Business Research Methods: A Managerial Approach, 2nd ed., Longman. — the sole entry on the week's reference slide. It is cited for the normal-distribution slide and accounts for none of the table material.
  2. A publisher's companion website for a fourth-edition social research text, cited on the week's terminology slide as a bare address with no author, year or title stated. It is the source of the three definitions of an average that the table rules rely on.
  3. The prescribed text, Chapter 16, pp. 353–374 — the week's only set reading, on statistical software. No author, year, title or publisher for it is given anywhere in the week's slides beyond a single incidental surname.
  4. The supplied teaching source: the week 11 slide deck on analysing data and the presentation of quantitative data, whose two tables slides are reproduced in full on this page. No study notes for this week were supplied.

Suggested questions for Ask KEVOS

  • Check whether my results table follows the seven table rules in this material.
  • Which average should I report in a table margin, and what does the supplied material say about that choice?
  • Help me write the brief summary that sits beside a results table.
  • What does this teaching material leave out about building a two-variable table?
  • Rewrite my table caption so it states units, sample size and rounding convention.

Related KEVOS knowledge

Presenting Data in GraphsCore · quantitative analysisReading a Graphical DisplayCore · quantitative analysisMeasures of Central TendencyFoundation · quantitative analysisDescriptive and Inferential StatisticsCore · quantitative analysisLevels of Measurement in Structured QuestionsCore · data collectionWhat This Material Does Not TeachCore · research practice
KEVOS® · Project Delivery · Research Projects Page KVS-PM-RES-0175 · v1.0.0 · content 2026.08 Last reviewed 2026-08-16

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