This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: Types of tests Z-Tests [normal distribution only]-population standard deviation-normality of the set of data-n is greater than 30 T-Tests [normal, F, Cauchy]-simple random sample-normally distributed population-sample standard deviation-independent-with equal variances-without equal variances OR-paired sample ANOVAS [normal]-a pair of degrees of freedom-graph is right skewed Degrees of freedom For unequal and equal variance t-tests (n1+n2)-2 For paired sample t-test Number of pairs-1 Single Sample n-1 One-way ANOVA n1+n2ng g Name Formula Assumptions One-sample z-test (Normal distribution or n > 30) and known. ( z is the distance from the mean in standard deviations. It is possible to calculate a minimum proportion of a population that falls within n standard deviations (see: Chebyshev's inequality ). Two-sample z-test Normal distribution and independent observations and (1 AND 2 known) One-sample t-test (Normal population or n > 30) and unknown Paired t-test (Normal population of differences...
View Full Document
- Spring '08