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Grade 7-12 Math Review · Grade 11-12 · Statistics and Probability

The Normal Distribution and z-Scores

One curve, and a way of putting any measurement on it. The z-score is what lets a height and an exam mark be compared at all.

Which score is better?

Maths: 78 where μ = 70, σ = 8.
English: 85 where μ = 75, σ = 20.

One curve, described by two numbers.

μ −1σ +1σ −2σ +2σ 68% 95% within 2σ
Symmetric about μ mean, median and mode coincide
Total area = 1 so area IS probability
μ moves it left or right the shape is unchanged
σ spreads it wide or narrow bigger σ, flatter curve

The z-score counts standard deviations.

z = (x − μ) / σ

z = 174 − 1637

subtract first, then divide

z = 117 ≈ 1.57

just over 1½ SDs above

A z-score has no units. That is the point: once a height and a mark are both expressed in standard deviations, they sit on the same scale and can be compared directly.

Which is better: 70 in Algebra (μ = 62, σ = 4) or 88 in History (μ = 79, σ = 6)?

Algebra: z = 70 − 624 = 2

two SDs above its mean

History: z = 88 − 796 = 1.5

one and a half SDs above

the larger z wins: Algebra

even though 88 > 70

A negative z is not an error

A value below the mean gives a negative z, and that is simply the left half of the curve. Dropping the minus sign turns “shorter than average” into “taller than average” and reverses every area that follows. Keep the sign all the way to the table.

From z to an area.

z = 1.57

from the last step

table: area to the left = 0.9418

a standard z-table

P(X < 174) ≈ 94.2%

and 5.8% are taller

Below x read the table directly the table gives area to the LEFT
Above x 1 − table value the rest of the curve
Between a and b bigger − smaller two lookups, then subtract

Sketch the curve and shade what the question asks for before touching the table. Almost every mistake here is a correct lookup used the wrong way round, and the sketch is what catches it.

The empirical rule, for checking.

WithinHoldsOutside
μ ± 1σ68%32%
μ ± 2σ95%5%
μ ± 3σ99.7%0.3%

Use it as a check, not as the method. Our z = 1.57 sits between 1 and 2, so the area to its left must sit between 84% and 97.5% — and 94.2% does. A table answer outside that band means the lookup went astray.

Working backwards, from an area to a score.

top 10% → area to the left is 0.90

the table is a left-area table

z ≈ 1.28

read the table backwards

x = μ + zσ = 72 + 1.28(10)

rearranged from z = (x−μ)/σ

x ≈ 84.8

above the mean, as it must be

Any cut-off above the mean must have a positive z, and any cut-off below it a negative one. Checking that before the arithmetic catches the “top 10%” being looked up as 0.10 rather than 0.90.

Variations: an area between, a bottom cut-off, σ as the unknown.

The same z = (x − μ)/σ and the same left-area table, from three other angles.

Weights are normal with μ = 50 kg, σ = 4 kg. Find P(46 < X < 56).

z = 46 − 504 = −1, z = 56 − 504 = 1.5

one on each side of μ

table: 0.1587 and 0.9332

both left areas

P = 0.9332 − 0.1587 = 0.7745

bigger minus smaller

Adding the two table values gives more than 1, which no probability can be.

Scores are normal with μ = 60, σ = 5. Below what score are the bottom 5%?

left area 0.05 → z ≈ −1.645

below the mean, so z is negative

x = 60 + (−1.645)(5) = 60 − 8.225

x = μ + zσ

x ≈ 51.8

under 60 ✓

A bottom cut-off reads the table at the small area itself, and the z carries a minus sign.

On a test with mean 80, a score of 92 has z = 1.5. Find σ.

1.5 = (92 − 80)/σ

substitute what we know

1.5σ = 12

multiply both sides by σ

σ = 8

check: 12 ÷ 8 = 1.5 ✓

Any one of x, μ, σ and z can be the unknown; the formula is the equation every time.

On the exam

Normal-curve items ask for a z-score, an area (below, above or between), a cut-off for a top or bottom percentage, or which of two scores is relatively better. Sketch and shade first, convert with z = (x − μ)/σ, then use the left-area table once or twice. The 10-second check: the empirical rule — a z between 1 and 2 must give a left area between 0.84 and 0.975.

Now you try

Practice problem

Find the z-score

Daily sales at a sari-sari store are normal with mean ₱4 200 and SD ₱600. What is the z-score of a ₱3 000 day?

Hint: subtract the mean first, then divide by the standard deviation, and keep the sign. A value below the mean always has a negative z.