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Inverse normal

Find the value from a probability (inverse normal)

  • In 7 of 20 recent exams
  • Paper 1 or 2
How it is set in the exam

Paper 2 (calculator), usually 2 marks (up to 4 when the area has to be worked out first), straight after a normal probability part. Common (7 of 20 exam versions, 9 parts). Once on Paper 1 (no calculator), with no calculator: two normals with the same σ\sigma.

Spot it in the exam
Exam phrases to spot (4)
  • “find the value of ww such that …”

  • “the heaviest p %p\,\% … find the least mass”

  • “find kk such that P(X>μ+kσ)=…\mathrm{P}(X > \mu + k\sigma) = \ldots”

  • “one tail is a multiple of the other”

In disguise (3)
  • "the top 10%10\% are awarded a distinction; find the lowest mark for a distinction": an upper tail, and its boundary
  • a part that only asks you to shade a region with an unknown bound, or to find P(X<w)\mathrm{P}(X < w), before the value itself is asked for: the set-up of this type
  • "XX and YY have the same standard deviation", with a probability they share: equal distances from their means, on the same side for the same tail
Variants (3)
  • tail = left or upper; the accuracy demanded ("to the nearest gram", "to 4 significant figures")
  • given = the middle and one tail, a tail ratio, an interval probability and one of its bounds, or an equal probability in a second normal with the same σ\sigma ()
  • on ZZ: the answer is a number of standard deviations
Looks like it, but isn't (3)
  • μ\mu or σ\sigma is unknown and has to be found from probabilities at numerical values: Unknown mean or standard deviation
  • "the top p %p\,\%" read off a cumulative frequency graph of data: Cumulative frequency graphs
  • a value is given and a probability asked for: Normal probabilities
Worked example

An upper tail, to a stated accuracy

Paper 2 (calculator)
Question

The masses of the parcels handled by a courier are normally distributed with mean 2.82.8 kg and standard deviation 0.550.55 kg. The heaviest 12%12\% of parcels are charged extra. Find the least mass of a parcel that is charged extra. Give your answer in kilograms, correct to two decimal places. [2]

Try it yourself first, then compare.

Now try one like it

Write your working on paper or on screen. Paper Zero marks it step by step, like the worked example, and shows where each mark went. Free, with no account.

A handwritten page as Paper Zero marks it: ticks at the two lines that earned a mark, a cross on line 3 where +7 was copied as −7, and a short note beside that line.123456f′(x) = 4x − 124x − 12 = 0, so x = 3f(3) = 2(3)² − 12(3) − 7= 18 − 36 − 7 = −25minimum at (3, −25)M1 ✓A1 ✓A1 ✗11The +7 became −7: 18 − 36 + 7 = −11.
See it move: Find the boundary from the area
  • w=3.10w = 3.10: P(M>3.10)=0.293\mathrm{P}(M > 3.10) = 0.293. More than 12% above: move right.
  • The heaviest 12% is an upper tail: 12% above ww, so 88% below it. That is the area inverse normal needs.
  • Inverse normal with area 0.88: w=3.4462…≈3.45w = 3.4462\ldots \approx 3.45 kg, above the mean as it must be.
  • Using 0.12 as the left area gives 2.15 kg, below the mean: impossible for the heaviest parcels.
Steps
  1. Sketch

    the curve and put the unknown on the correct side of μ\mu: a left-tail area below 0.50.5 puts it below μ\mu. Shade the area you know.

  2. Turn the information into one area to the left of the unknown:

    • an upper tail pp: 1−p1 - p;
    • a central region with probability pp, symmetric about μ\mu: 1−p2\frac{1 - p}{2} to the left of its lower end, 1+p2\frac{1 + p}{2} to the left of its upper end;
    • an interval whose lower end is the unknown: 1−interval−tail above it1 - \text{interval} - \text{tail above it};
    • an interval whose upper end is the unknown: tail below it+interval\text{tail below it} + \text{interval} (cumulate);
    • a tail ratio: call the smaller tail xx, then x+middle+kx=1x + \text{middle} + kx = 1; if the smaller tail is the lower one, the lower bound has xx to its left and the upper bound has 1−kx1 - kx.
  3. Inverse normal

    (GDC): write P(X<w)=…\mathrm{P}(X < w) = \ldots, then ww. On with two normals that have the same σ\sigma there is no GDC: equal areas on the same side put the two values the same distance from their own means (Standardisation).

  4. Round as instructed

    ("to the nearest …", "to 4 s.f."), otherwise to 3 s.f. On ZZ, the answer is the number of standard deviations itself.

  5. Check

    by putting the value back into the normal probability.

Common mistakes
  • An upper tail used as a left-tail area

    for "the heaviest 12%12\%", inverse normal on 0.120.12 gives a value below the mean. The sketch shows it can't be right.

  • The unknown on the wrong side of μ\mu

    in a sketch: the sketch mark needs the correct side and the area shown.

  • The wrong accuracy

    "to the nearest gram", "correct to two decimal places" or "to 4 significant figures" is part of the final mark.

More mistakes (3)
  • Forgetting a tail

    "4x+0.85=14x + 0.85 = 1" leaves out the left tail. All three regions go in the equation.

  • A zz-value as the answer

    on XX the answer is a value in the question's units. Only when the question asks for a number of standard deviations (on ZZ) is zz itself the answer.

  • Two normals with the same σ\sigma

    equal probabilities in the same tail mean equal distances from their own means, on the same side, not the same value.

Next typeProbability distribution tables

More in The normal and binomial distributions