Fichas
Inferential Stats
Fichas del conjunto (12)
- 1Purpose of hypothesis testingAllows scientists to make the best decisions possible based on the information they are given.
- 2Steps in classical hypothesis testing1. State the null and alternate hypothesis
2. Select appropriate statistical test
3. Select level of significance
4. Construction of decision rule
5. Decide whether to accept or reject the null - 3Classical vs p-value hypothesis testingIn classical, room to be subjective. In p-value, objective approach is mandatory because it is mathematical.
- 4Type 1 ErrorReject the null as false when actually true
- 5Type 2 ErrorAccept the null when it is actually false.
- 6Null hypothesisOriginal claim
What is expected to be true - 7Alternate hypothesisOpposing claim
What we are testing is true or not - 8Directional hypothesis vs. Non-directional hypothesisDirectional means all error is in the tail of the distribution
Non-directional is split up into both tails (MULTIPLY ERROR BY 2) - 9Large vs. Small populationLarge, use Z test
Small, use T test - 10Degrees of Freedomn-1
If n is greater than 30, then degrees of freedom error is same as Z test - 11One-sample difference of means testCompares difference between the population mean and sample mean
- 12One sample difference of proportions testCompares difference between population proportion and sample proportion
Información
- Descripción
- Fichas sobre Inferential Stats, creado por James Foster9258 el 08/04/2015.
- Creado por
- James Foster9258 · abr 2015
- Actualizado
- 19 feb 2016
- Visitas
- 2
- Valoración