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.
Exam phrases to spot (4)
“find the value of w such that …”
“the heaviest p% … find the least mass”
“find k such that P(X>μ+kσ)=…”
“one tail is a multiple of the other”
In disguise (3)
- "the top 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), before the value itself is asked for: the set-up of this type
- "X and Y 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 ()
- on Z: the answer is a number of standard deviations
Looks like it, but isn't (3)
- μ or σ is unknown and has to be found from probabilities at numerical values: Unknown mean or standard deviation
- "the top p%" read off a cumulative frequency graph of data: Cumulative frequency graphs
- a value is given and a probability asked for: Normal probabilities
An upper tail, to a stated accuracy
The masses of the parcels handled by a courier are normally distributed with mean 2.8 kg and standard deviation 0.55 kg. The heaviest 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.
- w=3.10: P(M>3.10)=0.293. More than 12% above: move right.
- The heaviest 12% is an upper tail: 12% above w, so 88% below it. That is the area inverse normal needs.
- Inverse normal with area 0.88: w=3.4462…≈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.
- 1
Sketch
the curve and put the unknown on the correct side of μ: a left-tail area below 0.5 puts it below μ. Shade the area you know.
- 2
Turn the information into one area to the left of the unknown:
- an upper tail p: 1−p;
- a central region with probability p, symmetric about μ: 21−p to the left of its lower end, 21+p to the left of its upper end;
- an interval whose lower end is the unknown: 1−interval−tail above it;
- an interval whose upper end is the unknown: tail below it+interval (cumulate);
- a tail ratio: call the smaller tail x, then x+middle+kx=1; if the smaller tail is the lower one, the lower bound has x to its left and the upper bound has 1−kx.
- 3
Inverse normal
(GDC): write P(X<w)=…, then w. On with two normals that have the same σ 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 Z, the answer is the number of standard deviations itself.
- 5
Check
by putting the value back into the normal probability.
An upper tail used as a left-tail area
for "the heaviest 12%", inverse normal on 0.12 gives a value below the mean. The sketch shows it can't be right.
The unknown on the wrong side of μ
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=1" leaves out the left tail. All three regions go in the equation.
A z-value as the answer
on X the answer is a value in the question's units. Only when the question asks for a number of standard deviations (on Z) is z itself the answer.
Two normals with the same σ
equal probabilities in the same tail mean equal distances from their own means, on the same side, not the same value.