生物統計研讀筆記 - Establish Hypothesis 建立假設
目錄
正在研讀中的生物統計中,如何建立基本假設的步驟
Typical steps of making hypothesis
- State the problem
- Formulate the null and alternative hypotheses
- Null hypothesis 等號方向與情境描述方向相反,Greater than -> $\leq$
- Choose the level of significance
- the probability of rejecting a true null hypothesis
- Determine the appropriate test statistic $\alpha: level$
- Calculate the appropriate test statistic
- Determine the critical values for the sampling distribution and appropriate level of significance, (or Determine the $P :value$ of the test statistic)
- Compare the test statistic to the critical value
- Based on the comparison, accept or reject hypothesis
- $Z : value$ : c.v.’s = ±1.960, -1.960 < 1.8 < 1.960 -> Not extreme enough to reject null hypothesis
- $P :value$ : 0.0718 > 0.05, which is the level of significance. -> Not rare enough to reject the null hypothesis
- Above are two-taills, *how are the left-tail and right tail conditions? *
Type I and Type II error
- Type I error:
- When $H_0$ is really true, but we reject $H_0$ based on the statistic result
- P(Type I error) = the probability of rejecting a true null hypothesis.
- Type II error:
- When $H_0$ is really false, but we accept $H_0$ based on the statistic result
- P(Type II error) = the probability of accepting a false null hypothesis.
- Type I error: