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Samples of 4 from mean 20, sd 6: P(sample mean > 23)

Step by step, with the reason for every step · Sample means and the central limit theorem · University Statistics

Step by step

The question

Question: samples of 4 are taken from numbers with mean 20 and SD 6: what is the probability that the sample mean is more than 23?

P(x̄ > 23): μ = 20, σ = 6, n = 4

x̄, x bar, is the mean of one sample.

x̄ = the mean of one sample

1 The sample means

The central limit theorem: the means of many samples make a bell.

Its middle is the mean, 20.

Its SD is smaller: σ divided by the square root of n.

many samples of 4: their means make a bell
middle: μ = 20
SD of the means: σ ÷ √n

The square root of 4 is 2.

6 divided by 2 is 3.

σx̄ = σ√n = 6√4 = 62 = 3

Careful!

The sample means have SD 3, not 6.

So we divide by 3.

Careful: not z = 23 − 206 ✗

2 Find z

z counts how many SDs the sample mean is from the mean: x̄ minus the mean, over the SD.

z = x̄ − μσx̄

23 minus 20 is 3.

Divided by 3, that is 1.

z = 23 − 203 = 33 = 1

3 Draw and shade

The bell: the mean, 20, in the middle.

23 is right of it.

We want the sample mean more than 23.

We shade that part.

4 Read the table

The z-table gives the area to the left of z.

Row 1.0, column .00.

For z = 1: the row 1.0 and the column .00 meet at 0.8413.

5 The area we want

The whole bell is 1.

The right side is 1 minus the left: 1 minus 0.8413 is 0.1587.

P(x̄ > 23) = 1 − 0.8413 = 0.1587

6 Check

Let's check another way.

The bell is the same on both sides.

So the area right of 1 is the area left of −1.

right of 1 = left of −1

The table at −1 gives 0.1587.

The same!

So it is right!

table at −1: 0.1587

Let's look back.

First: the sample means.

Then: find z.

Then: draw and shade.

Then: read the table.

Then: the area we want.

Last: check.

Answer
P(x̄ > 23) = 1 − 0.8413 = 0.1587

Your turn

Try this one yourself, then check:

Find P(x̄ > 31): μ = 25, σ = 12, n = 4
Show the answer
P(x̄ > 31) = 0.1587

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