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Test p1 < p2: 18 of 120 and 30 of 120, alpha 0.05

Step by step, with the reason for every step · Comparing two groups · University Statistics

Step by step

The question

Question: in group 1, 18 of 120 say yes, and in group 2, 30 of 120: at the 5% level, is the first proportion less than the second?

p1 < p2? 18 of 120, 30 of 120, α = 0.05

1 Write the hypotheses

H₀ is the "nothing new" idea: it has the equal sign.

Here: the two proportions are the same, so the difference is 0.

H0 : p1 = p2

Hₐ is what we want to show.

Here: the first proportion is less than the second.

Ha : p1 < p2

Less than: one tail, the left end.

one tail: the left end

2 The two parts

Group 1: 18/120 is 0.15.

p′1 = 18120 = 0.15

Group 2: 30/120 is 0.25.

p′2 = 30120 = 0.25

3 Pool the groups

If H zero is true, the two groups are the same.

So we put them together: the pooled proportion.

if H0 is true, the groups are the same: put them together

All the yeses over everyone: 48/240 is 0.2.

pc = 18 + 30120 + 120 = 48240 = 0.2

Careful!

We pool the counts, not the two proportions.

Careful: pool the counts: (x₁ + x₂) ÷ (n₁ + n₂)

And q c is 1 minus 0.2: 0.8.

qc = 1 − 0.2 = 0.8

4 Standard error

The standard error, the SD of the difference: the square root of p c times q c, times 1/n 1 plus 1/n 2.

SE = √pc × qc × (1n1 + 1n2)

0.2 times 0.8 is 0.16.

1/120 plus 1/120 is 0.0167.

Multiply, then the square root: about 0.0516.

SE = √0.2 × 0.8 × (1120 + 1120) ≈ 0.0516

5 The test number

z is the difference over the SE.

0.15 minus 0.25 is −0.1.

Divided by 0.0516: about −1.94.

z = p′1 − p′2SE = 0.15 − 0.250.0516 ≈ −1.94

6 The p-value

The p-value is the chance of getting a sample this far out, if H zero is true.

p-value: the chance of a sample this far out, if H0 is true

On the bell of H zero: 0 in the middle, our sample at z = −1.94.

We shade the left end, from our z down.

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

Row −1.9, column .04.

For z = −1.94: the row −1.9 and the column .04 meet at 0.0262.

The left end is the table number itself: 0.0262.

p-value = 0.0262

7 Decide

The p-value, 0.0262, is less than alpha, 0.05.

Our sample would be rare if H zero were true.

So we reject H zero.

= p-value 0.0262 < α = 0.05 → reject H0

8 Say it in words

At the 5% level, there is enough evidence that

In words: at the 5% level, there is enough evidence that the first proportion is less than the second.

the first proportion is less than the second.

9 Check

Let's check the other way, with the cut-off.

0.05 in the left end gives the cut-off −1.645.

0.05 in one end: cut-off −1.645

z is −1.94: past the cut-off.

The same decision.

So it is right!

z = −1.94 < −1.645: past the cut-off, reject

Let's look back.

First: write the hypotheses.

Then: the two parts.

Then: pool the groups.

Then: standard error.

Then: the test number.

Then: the p-value.

Then: decide.

Then: say it in words.

Last: check.

Answer
= p-value 0.0262 < α = 0.05 → reject H0

Your turn

Try this one yourself, then check:

Test p1 < p2? 35 of 100, 50 of 100, α = 0.05
Show the answer
reject H0

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