Estimating with Confidence
... The last chapter provided practice finding confidence intervals and carrying out tests of significance in a somewhat unrealistic setting. We needed the population σ. In reality σ and μ are rarely known. The conditions for inference about a mean are as before: SRS and a normal distribution. For these ...
... The last chapter provided practice finding confidence intervals and carrying out tests of significance in a somewhat unrealistic setting. We needed the population σ. In reality σ and μ are rarely known. The conditions for inference about a mean are as before: SRS and a normal distribution. For these ...
8-2-8-3
... P(z > 3.516) = 0.0001. Much smaller than our critical value. This would again lead us to reject the null hypothesis. ...
... P(z > 3.516) = 0.0001. Much smaller than our critical value. This would again lead us to reject the null hypothesis. ...
Significance Tests
... Elements of Significance Test (II) • Test Statistic: Quantity based on the sample data to test the null hypothesis. Typically is based on a sample statistic, parameter value under H0 , and the standard error. • P-value (P): The probability that we would obtain a test statistic at least as contradic ...
... Elements of Significance Test (II) • Test Statistic: Quantity based on the sample data to test the null hypothesis. Typically is based on a sample statistic, parameter value under H0 , and the standard error. • P-value (P): The probability that we would obtain a test statistic at least as contradic ...
