






Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
The calculations and interpretations of 95% confidence intervals and hypothesis testing using z-values and Student's t-distributions for a given dataset. It covers formal test, t-test, and Monte Carlo methods.
What you will learn
Typology: Study notes
1 / 10
This page cannot be seen from the preview
Don't miss anything!
between z-value at p-value = 0. and z-value at p-value = 0.
between z-value at p-value = 0.025 −1. and z-value at p-value = 0.975 +1.
Formal test set = { 0.33, 0.4, 0.3, 0.3, 0.45 } N = number in set = 5 95% conf. int. = ± 1.96 × stdv / sqrt(N) = ± 1.96 × 0.666 / sqrt(5) mean = 0.356 ± 0. 95% probability true mean is between 0.298 and 0.
between t-value at p-value = 0.025 −2. and t-value at p-value = 0.975 +2. degrees of freedom = N – 1 = 4
Monte Carlo value at 0.025 0. value at 0.975 0. 95% probability true mean is between 0.306 and 0. mean = 0.356 – 0. 0.356 + 0.