Hypothesis Testing
Cards (11)
- Hypothesis Testing
- is a method applied in making decisions using experimental data.
- Hypothesis Testing
- is basically testing an assumption that we make about a population.
- Hypothesis
- is a proposed assumption, explanation, or assertion about a population parameter or about the distribution of a random variable.
- Types of Hypothesis
- Null Hypothesis
- Alternative Hypothesis
- Null Hypothesis
- is an initial claim based on previous analyses, which the researcher tries to disprove, nullify, or reject.
- Null Hypothesis
- It shows no significant difference between the two parameters.
- denoted by H sub o (H⁰)
- Alternative Hypothesis
- In contrary to null hypothesis, this hypothesis shows that observations are the result of a real effect.
- denoted by H sub a (H^a)
- Level of Significance
- denoted by alpha or a
- refers to the degree of significance in which we accept or reject the null hypothesis
- Level of Significance
- the probability of making the wrong decision when the null hypothesis is true.
- one-tailed = 0.05; two-tailed = 0.025.
- Rejection Region
- or the critical region
- is the set of all values of the test statistic that causes us to reject the null hypothesis.
- One-tailed vs Two-tailed
- less than or greater than = one-tailed
- equal or not equal to = two-tailed