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Samples of 9 from mean 60, sd 6: P(sample mean > 64)

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 9 are taken from numbers with mean 60 and SD 6: what is the probability that the sample mean is more than 64?

P(x̄ > 64): μ = 60, σ = 6, n = 9

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, 60.

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

many samples of 9: their means make a bell
middle: μ = 60
SD of the means: σ ÷ √n

The square root of 9 is 3.

6 divided by 3 is 2.

σx̄ = σ√n = 6√9 = 63 = 2

Careful!

The sample means have SD 2, not 6.

So we divide by 2.

Careful: not z = 64 − 606 ✗

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

64 minus 60 is 4.

Divided by 2, that is 2.

z = 64 − 602 = 42 = 2

3 Draw and shade

The bell: the mean, 60, in the middle.

64 is right of it.

We want the sample mean more than 64.

We shade that part.

4 Read the table

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

Row 2.0, column .00.

For z = 2: the row 2.0 and the column .00 meet at 0.9772.

5 The area we want

The whole bell is 1.

The right side is 1 minus the left: 1 minus 0.9772 is 0.0228.

P(x̄ > 64) = 1 − 0.9772 = 0.0228

6 Check

Let's check another way.

The bell is the same on both sides.

So the area right of 2 is the area left of −2.

right of 2 = left of −2

The table at −2 gives 0.0228.

The same!

So it is right!

table at −2: 0.0228

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 > 64) = 1 − 0.9772 = 0.0228

Your turn

Try this one yourself, then check:

Find P(x̄ > 83): μ = 75, σ = 12, n = 9
Show the answer
P(x̄ > 83) = 0.0228

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