independent samples t-test: The Average Height of Gnomes versus Dwarves (Testing for Equal Means)

Suppose we want to compare the average height of gnomes and dwarves. We will use an independent samples t-test to determine if there is a significant difference between the two groups. Here is how we set up the hypothesis test and perform the analysis.

Step 1: State the Hypotheses

The null hypothesis H_0 and the alternative hypothesis H_A can be stated as follows:
H_0: \mu_1 = \mu_2 \quad \text{(no difference in average height between gnomes and dwarves)}
H_A: \mu_1 \neq \mu_2 \quad \text{(there is a difference in average height between gnomes and dwarves)}
where \mu_1 is the mean height of gnomes and \mu_2 is the mean height of dwarves.

Step 2: Collect Data

Suppose we have the following sample data for the heights (in cm) of gnomes and dwarves:

Step 3: Calculate the Test Statistic

First, we calculate the sample means and sample standard deviations:
\bar{X}_1 = \frac{112 + 115 + 113 + 118 + 110}{5} = 113.6

\bar{X}_2 = \frac{120 + 123 + 119 + 122 + 121}{5} = 121

s_1 = \sqrt{\frac{\sum{i=1}^n (X_{1i} - \bar{X}1)^2}{n-1}} = \sqrt{\frac{(112-113.6)^2 + (115-113.6)^2 + (113-113.6)^2 + (118-113.6)^2 + (110-113.6)^2}{5-1}} \approx 3.361

s_2 = \sqrt{\frac{\sum{i=1}^n (X_{2i} - \bar{X}_2)^2}{n-1}} = \sqrt{\frac{(120-121)^2 + (123-121)^2 + (119-121)^2 + (122-121)^2 + (121-121)^2}{5-1}} \approx 1.581

Next, we calculate the pooled standard deviation s_p :
s_p = \sqrt{\frac{(n_1 - 1)s_1^2 + (n_2 - 1)s_2^2}{n_1 + n_2 - 2}} = \sqrt{\frac{(5-1)(3.361)^2 + (5-1)(1.581)^2}{5+5-2}} \approx 2.758

The test statistic t is then calculated as:
t = \frac{\bar{X}_1 - \bar{X}_2}{s_p \sqrt{\frac{1}{n_1} + \frac{1}{n_2}}} = \frac{113.6 - 121}{2.758 \sqrt{\frac{1}{5} + \frac{1}{5}}} \approx -4.761

Step 4: Determine the Degrees of Freedom

The degrees of freedom for the independent samples t-test is:
df = n_1 + n_2 - 2 = 5 + 5 - 2 = 8

Step 5: Compare the Test Statistic to the Critical Value

Using a t-table or calculator, find the critical t-value for a two-tailed test with \alpha = 0.05 and df = 8 . The critical t-value is approximately \pm 2.306 .

Since t = -4.761 is less than -2.306 , we reject the null hypothesis.

Conclusion

At the \alpha = 0.05 significance level, we have enough evidence to conclude that there is a significant difference in average height between gnomes and dwarves. Therefore, we reject the null hypothesis that there is no difference in average height between the two groups.


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