Two sample z-test is used to test whether the means of two populations are equal. It is used when the population standard deviations are known.
Either enter raw data or summary information in the calculator below to calculate a two sample z-test. You can directly paste data from MS Excel.
Enter Raw Data
Sample 1 | Sample 2 | |
1 | 310 | 360 |
2 | 398 | 343 |
3 | 276 | 253 |
4 | 286 | 242 |
5 | ||
6 | ||
7 | ||
8 | ||
9 | ||
10 |
Enter Summary Data
Result
z = 1.148192
p-value (One-tailed) = 0.125445
p-value (Two-tailed) = 0.250889
Means for two groups are not significantly different from each other at 5% significance level(One-tailed)
Means for two groups are not significantly different from each other at 5% significance level(Two-tailed)
p-value (One-tailed) = 0.125445
p-value (Two-tailed) = 0.250889
Means for two groups are not significantly different from each other at 5% significance level(One-tailed)
Means for two groups are not significantly different from each other at 5% significance level(Two-tailed)
Assumptions of Two Sample Z-Test
- Data in each population should be approximately normally distributed.
- Each score is sampled independently and randomly.
- Z-Test assumes you know the population standard deviations for both groups.
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