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The arithmetic behind the work: what to measure, what to type in, and what the answer comes out as. Every formula says what the symbols mean and gives a worked example, so you can check it against a job you have already done.

Quick calculators. A calculator appears where the formula is a single, clean equation with clear symbols. It is a convenience, not an authority: double-check every result yourself, especially doses, loads, torque and safety-critical settings.
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Statistics 12 formulas

95% confidence interval
CI = mean +/- 1.96 x SE
SYMBOLS · SE = standard error
UNITS · same as mean
HOW TO USE

The range the true average is likely to lie in. Use 2.58 for 99%.

EXAMPLE

Mean 50 and SE 2 gives 46.1 to 53.9.

confidence interval statistics
Coefficient of variation
CV = standard deviation / mean x 100
SYMBOLS · Use the same units
UNITS · %
HOW TO USE

Comparing variability between groups with different averages, such as two flocks.

EXAMPLE

SD 2 kg on a 40 kg mean is 5% CV.

variation spread compare
Correlation coefficient
r = covariance(x,y) / (sx x sy)
SYMBOLS · sx, sy = standard deviations
UNITS · -1 to +1
HOW TO USE

Whether two things move together. Correlation is not proof of cause.

EXAMPLE

r = 0.8 is a strong positive relationship.

correlation relationship statistics
Linear regression
y = a + bx; b = covariance(x,y) / variance(x)
SYMBOLS · a = intercept; b = slope
UNITS · number
HOW TO USE

Fitting a straight line through data to predict one value from another.

EXAMPLE

Feed in versus weight gain can give gain = 0.2 + 0.8 x feed.

regression prediction statistics
Mean
mean = sum of values / number of values
SYMBOLS · Use every measurement
UNITS · number
HOW TO USE

The everyday average. Sensitive to outliers, so check the median as well.

EXAMPLE

Yields 4, 5, 6 and 9 t/ha average 6 t/ha.

mean average statistics
Median
Middle value when sorted
SYMBOLS · For an even count, average the two middle values
UNITS · number
HOW TO USE

A fairer average when one very high or low reading would distort the mean.

EXAMPLE

4, 5, 6, 9 has a median of 5.5.

median average statistics
Mode
Most frequent value
SYMBOLS · There may be no mode or several
UNITS · number
HOW TO USE

The most common size, score or category in a batch.

EXAMPLE

Sizes 2, 3, 3, 4 have a mode of 3.

mode frequency statistics
Moving average
MA = (x1 + x2 + ... + xn) / n
SYMBOLS · n = window size
UNITS · same as data
HOW TO USE

Smoothing noisy daily readings such as milk, rainfall or prices.

EXAMPLE

A 7-day average smooths the weekly milk curve.

average moving trend
Sample size for a mean
n = (z x s / E)2
SYMBOLS · z = 1.96 for 95%; s = SD; E = margin of error
UNITS · number
HOW TO USE

How many samples you need before an average is trustworthy.

EXAMPLE

SD 10 and margin 2 needs about 96 samples at 95%.

sample size survey
Standard error of the mean
SE = s / sqrt(n)
SYMBOLS · s = standard deviation; n = sample size
UNITS · same as mean
HOW TO USE

How precisely a sample mean estimates the true mean. More samples, smaller error.

EXAMPLE

SD 10 with 25 samples gives SE 2.

QUICK CALCULATOR SE = result
Enter values above.

Convenience only. Double-check the result against the worked example or a second method before you use it.

error sample statistics
Variance
s2 = sum((x - mean)2) / (n - 1)
SYMBOLS · n = sample size
UNITS · squared units
HOW TO USE

How spread out the readings are. The square root is the standard deviation.

EXAMPLE

Values 2, 4, 4, 10 have a sample variance of 12.

variance spread statistics
Z-score
z = (x - mean) / standard deviation
SYMBOLS · x = value
UNITS · number
HOW TO USE

How many standard deviations a reading sits from the average. Useful for grading and outliers.

EXAMPLE

A 70 kg lamb in a 60 kg flock with SD 5 has z = 2.

z-score outlier statistics
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This page is an AI-organised index. The label means the grouping and cross-links were compiled with AI; the information itself comes from the public-domain books, reports and manuals listed below. Open any source to read the local copy or follow the link to the original publication.

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Formulas collected and indexed with AI. The calculators are convenience tools; double-check every result before using it.