'1 significance level' presentation slideshows

Econometrics Econ. 504

Econometrics Econ. 504. Chapter 7: The Normality Assumption and Inference with OLS. I. Role of Normality Assumption. Different Distributions. It is assumed that the unobserved factors are normally distributed around the population regression function.

485 views • 46 slides

Lecture 17 Section 8.2

Lecture 17 Section 8.2. Objectives: Tests concerning hypotheses about means One sample tests Two sided tests and Confidence Intervals Two sample tests (independent samples) Paired t-tests. Tests for a population mean.

416 views • 20 slides

Lecture 17 Section 8.2

Lecture 17 Section 8.2. Objectives: Tests concerning hypotheses about means One sample tests Two sided tests and Confidence Intervals Two sample tests (independent samples) Paired t-tests. Tests for a population mean.

201 views • 20 slides

Simple Time-Varying Copula Estimation Wolfgang Aussenegg, Vienna University of Technology

284 views • 16 slides

Power of a test

Power of a test. The power of a test (against a specific alternative value). Is the probability that the test will reject the null hypothesis when the alternative is true In practice, we carry out the test in hope of showing that the null hypothesis is false, so high power is important.

261 views • 14 slides

Power of a test

Power of a test. The power of a test (against a specific alternative value). Is the probability that the test will reject the null hypothesis when the alternative is true In practice, we carry out the test in hope of showing that the null hypothesis is false, so high power is important.

239 views • 11 slides

Power of a test

Power of a test. The power of a test (against a specific alternative value). Is the probability that the test will reject the null hypothesis when the alternative is true In practice, we carry out the test in hope of showing that the null hypothesis is false, so high power is important.

199 views • 11 slides

Power of a test

Power of a test. The power of a test (against a specific alternative value). Is the probability that the test will reject the null hypothesis when the alternative is true In practice, we carry out the test in hope of showing that the null hypothesis is false, so high power is important.

131 views • 11 slides