In a test of H0 : μ = 200 against HA : μ ≠200, a sample of size 10 produces a sample mean of 206 and a p-value of 0.09. Thus, at the 0.05 level of significance: (H0 is the null hypothesis, HA is the alternative hypothesis) ( )
A: there is sufficient evidence to conclude that μ≠200
B: there is sufficient evidence to conclude that μ = 206
C: there is insufficient evidence to conclude that μ = 200
D: there is insufficient evidence to conclude that μ≠200.
A: there is sufficient evidence to conclude that μ≠200
B: there is sufficient evidence to conclude that μ = 206
C: there is insufficient evidence to conclude that μ = 200
D: there is insufficient evidence to conclude that μ≠200.
举一反三
- If the p-value of a test statistic is .20 and the level of significance is .05, the null hypothesis should be rejected.
- Which of the following is not necessary to determine a p-value? A: Knowledge of whether the test is one-tailed or two-tailed B: The value of the test statistic C: The level of significance D: Sample size
- How can you evaluate your evidence? （ ） A: Consider the weight of authority. B: Report your evidence accurately. C: State your evidence precisely. D: Provide sufficient, representative evidence.
- Supported by sufficient evidence, his argument seems to have a great deal of validity. A: challenge B: value C: truth D: utility
- A logical fallacy of faulty generalization by reaching an inductive generalization based on insufficient evidence, this is the fallacy of Slippery Slope.