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it estimates the deg to which the null hypothesis is false compared to the alternative null. related to Power, in that if ES is High then power is as well.
is a special value computed from a sample that is used in deciding btwn the Ho and H1. A z-score.
A P value
is the smallest alpha that would allow rejection of the null. (p <.05)
The null hypothesis is about a specific population parameter.
When the hypothesis specify shape of the population
- 1. no change of difference
- 2. proposes a specific value for the parameter
- 3. helps to construct the sampling distribution
Values specified by the decision rule. often set by alpha, alpha-.05 directional- CV-1.64 the rejection is anything after this value.
is represented by alpha.
is also called a Z score and is the value of the test statistic that begins the rejection region.
Type I error = alpha
Occurs when the Null is rejected when it really is correct. always equals the alpha, so if alpha is .05, you have a 5% chance that your making a Type I error.
Type II error
Is made when the null is not rejected when it really is incorrect. ( beta ) related to power!
1 Step in Hypothesis Testing
- 1. Assum-
- pop- norm dist/samp sz
- samp- random -w/i
- data - interval /ratio
2 Step in Hypothesis Test
- state the nul - H0 there is no change or diff in the pop an is specific
- state the alternative and direction .
3 Step in Hypothesis Testing.
Test statistic - Z score and st error of the mean.
4 Step in Hypothesis Test
- Decision Rule- used to decide which hypothesis provides a better description.
- Choose a Sig level- alpha.
5/6 Step in hypothesis
- 5- sample and compute
- 6- Decide and conclude.
- 1-(beta) is the probability of making the correct decision of rejecting and incorrect Ho.
- "it's the chance of finding an effect that truly exists"
- Power is incred, by decre (beta)