Compare like with like—and show what is missing.

To compare two periods, first check that their observations describe the same thing. A measured amount, an estimate and a descriptive impression should not quietly become one series.

Then show which entries were included, the number of comparable observations and the gaps. A precise calculation can still have a limited basis.

Define the comparison before calculating

Write down the signal, unit, local observation window and method. For example: measured drinking amount in mL over a complete day.

Keep the dates that belong to Period A and Period B. Do not label a half-day amount as a whole day. If the collection method changes, preserve that change rather than assuming the values remain comparable.

CheckIf the answer is unclear
Same signal?Separate the series
Same unit?Use an explicit, valid conversion or stop
Same collection window?Do not compare as full-window amounts
Same measured/estimated context?Keep separate or explain the limitation
Complete enough for this calculation?Label partial or unknown entries; do not silently fill them

This is an editorial comparison method, not a clinical protocol or PETICO's internal maintained-reference formula.

Worked example: fictional measured drinking

The following records are fictional, created to make the arithmetic checkable. They are not recommended amounts for a cat or dog.

PeriodDayRecorded amountCompletenessIncluded in primary mean?
ADay 1100 mLComplete dayYes
ADay 2110 mLComplete dayYes
ADay 3120 mLComplete dayYes
BDay 1140 mLComplete dayYes
BDay 2150 mLComplete dayYes
BDay 380 mLPartial dayNo; retained separately

A's mean is (100 + 110 + 120) ÷ 3 = 110 mL.

B's complete-day mean is (140 + 150) ÷ 2 = 145 mL.

The absolute difference, B minus A, is 35 mL.

Relative to A, the difference is 35 ÷ 110 × 100 = 31.82%, rounded to two decimal places.

The included counts are three complete days in A and two in B. The 80 mL partial day remains in the record. It is not converted to an estimated full-day amount and is not included in the primary mean.

Say what the result actually describes

A clear summary is: “For these fictional complete-day observations, B's mean is 35 mL higher than A's, a 31.82% difference relative to A. Coverage is three days versus two; one B entry is partial.”

That describes the records. It does not establish a trend, clinical normality, a cause or a maintained personal reference. Unequal day counts and missing observations remain relevant even when the calculation is correct.

Avoid three common shortcuts

A blank is not zero. A recorded zero can be a real observation. An empty field means there is no numeric observation available for this calculation.

A partial day is not a complete day. Do not multiply a half-day measurement to invent the rest of the day. Keep its amount and window visible.

An average is not automatically “usual.” A selected period can be unusual or poorly covered. Personal reference has a different evidential basis.

What if A's mean is zero?

You can still calculate the absolute difference. A relative percentage using A as the denominator is undefined when A is zero. Display “Percentage unavailable: Period A mean is zero,” not infinity or 100%.

If either period has no eligible complete numeric observations, do not return a mean or difference as zero. Say which period lacks eligible observations.

Keep a reusable record

Download the blank template and preserve raw entries before summarizing them. The worksheet uses this same fictional fixture and method.

If your question is about your pet's condition rather than the arithmetic, bring the observations and their limitations to a veterinarian. A comparison can help organize a question; it cannot answer every question about its cause.