Steply

Sample means and the central limit theorem

University Statistics · 21 problems, easy to harder

▶ Watch the first one solved

How we do it

  1. The sample means
  2. Find z
  3. Draw and shade
  4. Read the table
  5. The area we want
  6. Check

The steps for Samples of 16 from mean 70, sd 8: P(sample mean > 73). Every solution names its steps, so you always know what comes next.

Worked examples

Mean and sd of the sample mean: mean 50, sd 12, n 36 Easy

The question

Question: samples of 36 are taken from numbers with mean 50 and SD 12: find the mean and the SD of the sample means.

μ = 50, σ = 12, n = 36: mean and SD of x̄?

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

many samples of 36: their means make a bell

1 The center

Its middle is the same as the numbers' mean: 50.

μx̄ = μ = 50

2 The spread

Means of samples are closer together than single numbers.

Their SD is σ divided by the square root of n.

means are less spread out: SD = σ ÷ √n

The square root of 36 is 6.

12 divided by 6 is 2.

σx̄ = σ√n = 12√36 = 126 = 2

Careful!

We divide by the square root of 36, not by 36.

Careful: divide by √n, not by n

The bell of the sample means: middle 50, one SD is 2.

3 Check

Let's check: times the square root of 36 takes us back.

2 times 6 is 12, the SD σ.

So it is right!

2 × √36 = 2 × 6 = 12

Let's look back.

First: the center.

Then: the spread.

Last: check.

Answer
Careful: divide by √n, not by n

▶ Watch it solved

Samples of 16 from mean 70, sd 8: P(sample mean > 73) Medium

The question

Question: samples of 16 are taken from numbers with mean 70 and SD 8: what is the probability that the sample mean is more than 73?

P(x̄ > 73): μ = 70, σ = 8, n = 16

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, 70.

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

many samples of 16: their means make a bell
middle: μ = 70
SD of the means: σ ÷ √n

The square root of 16 is 4.

8 divided by 4 is 2.

σx̄ = σ√n = 8√16 = 84 = 2

Careful!

The sample means have SD 2, not 8.

So we divide by 2.

Careful: not z = 73 − 708 ✗

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

73 minus 70 is 3.

Divided by 2, that is 1.5.

z = 73 − 702 = 32 = 1.5

3 Draw and shade

The bell: the mean, 70, in the middle.

73 is right of it.

We want the sample mean more than 73.

We shade that part.

4 Read the table

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

Row 1.5, column .00.

For z = 1.5: the row 1.5 and the column .00 meet at 0.9332.

5 The area we want

The whole bell is 1.

The right side is 1 minus the left: 1 minus 0.9332 is 0.0668.

P(x̄ > 73) = 1 − 0.9332 = 0.0668

6 Check

Let's check another way.

The bell is the same on both sides.

So the area right of 1.5 is the area left of −1.5.

right of 1.5 = left of −1.5

The table at −1.5 gives 0.0668.

The same!

So it is right!

table at −1.5: 0.0668

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 > 73) = 1 − 0.9332 = 0.0668

▶ Watch it solved

Samples of 25 from mean 64, sd 10: P(60 < sample mean < 66) Harder

The question

Question: samples of 25 are taken from numbers with mean 64 and SD 10: what is the probability that the sample mean is between 60 and 66?

P(60 < x̄ < 66): μ = 64, σ = 10, n = 25

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, 64.

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

many samples of 25: their means make a bell
middle: μ = 64
SD of the means: σ ÷ √n

The square root of 25 is 5.

10 divided by 5 is 2.

σx̄ = σ√n = 10√25 = 105 = 2

Careful!

The sample means have SD 2, not 10.

So we divide by 2.

Careful: not z = 60 − 6410 ✗

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

60 minus 64 is −4.

Divided by 2, that is −2.

z = 60 − 642 = −42 = −2

And for 66: 66 minus 64 is 2.

Divided by 2, that is 1.

z = 66 − 642 = 22 = 1

3 Draw and shade

The bell: the mean, 64, in the middle.

60 is left of it.

66 is right of it.

We want the sample mean between 60 and 66.

We shade that part.

4 Read the table

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

For z = −2: 0.0228.

For z = 1: 0.8413.

5 The area we want

Between them: the bigger area minus the smaller one.

0.8413 minus 0.0228 is 0.8185.

P(60 < x̄ < 66) = 0.8413 − 0.0228 = 0.8185

6 Check

Let's check: the three parts of the bell.

Left of z = −2: 0.0228.

Right of z = 1: 1 minus 0.8413, 0.1587.

left 0.0228 + middle 0.8185 + right 0.1587

They add up to 1, the whole bell.

So it is right!

= 1.0000

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(60 < x̄ < 66) = 0.8413 − 0.0228 = 0.8185

▶ Watch it solved

Practice

Try each one, then open the answer. Stuck? Open the problem to watch every step.

Easy

  1. mean and sd of the sample mean: mean 50, sd 12, n 36
    Answer
    Careful: divide by √n, not by n
  2. mean and sd of the sample mean: mean 100, sd 15, n 25
    Answer
    Careful: divide by √n, not by n
  3. mean and sd of the sample mean: mean 70, sd 8, n 16
    Answer
    Careful: divide by √n, not by n
  4. mean and sd of the sample mean: mean 40, sd 6, n 9
    Answer
    Careful: divide by √n, not by n
  5. samples of 36 from mean 50, sd 12: P(sample mean > 53)
    Answer
    P(x̄ > 53) = 1 − 0.9332 = 0.0668
  6. samples of 25 from mean 100, sd 15: P(sample mean < 97)
    Answer
    P(x̄ < 97) = 0.1587
  7. samples of 4 from mean 20, sd 6: P(sample mean > 23)
    Answer
    P(x̄ > 23) = 1 − 0.8413 = 0.1587

Medium

  1. samples of 16 from mean 70, sd 8: P(sample mean > 73)
    Answer
    P(x̄ > 73) = 1 − 0.9332 = 0.0668
  2. samples of 64 from mean 20, sd 4: P(sample mean < 19.5)
    Answer
    P(x̄ < 19.5) = 0.1587
  3. samples of 49 from mean 80, sd 14: P(78 < sample mean < 83)
    Answer
    P(78 < x̄ < 83) = 0.9332 − 0.1587 = 0.7745
  4. samples of 100 from mean 500, sd 50: P(sample mean > 510)
    Answer
    P(x̄ > 510) = 1 − 0.9772 = 0.0228
  5. samples of 36 from mean 30, sd 9: P(sample mean < 32)
    Answer
    P(x̄ < 32) = 0.9082
  6. mean and sd of the sample mean: mean 64, sd 20, n 100
    Answer
    Careful: divide by √n, not by n
  7. samples of 16 from mean 50, sd 12: P(sample mean < 47)
    Answer
    P(x̄ < 47) = 0.1587

Harder

  1. samples of 25 from mean 64, sd 10: P(60 < sample mean < 66)
    Answer
    P(60 < x̄ < 66) = 0.8413 − 0.0228 = 0.8185
  2. samples of 81 from mean 45, sd 18: P(sample mean > 48.5)
    Answer
    P(x̄ > 48.5) = 1 − 0.9599 = 0.0401
  3. samples of 40 from mean 50, sd 12: P(sample mean > 53)
    Answer
    P(x̄ > 53) = 1 − 0.9429 = 0.0571
  4. samples of 64 from mean 12, sd 2: P(11.6 < sample mean < 12.5)
    Answer
    P(11.6 < x̄ < 12.5) = 0.9772 − 0.0548 = 0.9224
  5. samples of 50 from mean 200, sd 30: P(sample mean < 195)
    Answer
    P(x̄ < 195) = 0.1190
  6. samples of 9 from mean 60, sd 6: P(sample mean > 64)
    Answer
    P(x̄ > 64) = 1 − 0.9772 = 0.0228
  7. samples of 100 from mean 3.2, sd 0.8: P(3.1 < sample mean < 3.3)
    Answer
    P(3.1 < x̄ < 3.3) = 0.8944 − 0.1056 = 0.7888