PPT-Normality, P-values, Comparing 2 Groups

Analysis of Biological Data Ryan McEwan and Julia Chapman Department of Biology University of Dayton ryanmcewanudaytonedu First Principle As a scientist investigator or data handler it is your personal responsibility to make sure that the analysis you are doing is appropriate. Explaining the Normal Distribution. Preliminaries: How to describe data. Discussion Question: How do we describe data in Statistics?. In this course, the way we describe data is by using the C.U.S.S. Method. We look at these characteristics:. the . Shower. Magic . system. and a . regular. . shower. with MIPS. Katariina Hirvonen. Hilla Kyrö. Linda Anttila. Matias Toivanen. The idea. As long a . shower. as . you. . want. with 10 . litres. What can we compare?. 3D shapes (Scalar. coupling constants, a.k.a. J-values, nuclear . Overhauser. effects. ). Atomic motions (RMSF, Order Parameters). NOE intensities may be used to estimate the distance between hydrogen atoms, separated by less than 4 Å . Examine the concepts of normality . and abnormality. What is normal . behaviour. ?. In pairs or small groups discuss examples of . behaviour. that is normal, and . behaviour. that is abnormal.. Examine the concepts of normality . The Holocaust and Rwanda. Genocide. the deliberate and systematic destruction of a racial, political, or cultural group. Examples: Holocaust, Rwanda, Armenians, Bosnia, Sudan. Concentration Camp for Bosnian Muslims and Croats. F-test in ANOVA is the so-called . omnibus test. . It tests the means globally. It says nothing about which particular means are different.. post hoc tests. , . multiple comparison tests. .. Tukey . Honestly Significant . PowerPoint designed for DVI. By. Camilla S. . Haneberg. COMPARING VALUES. VALUE IN THE LIGHT . VS. . VALUE IN SHADOW. W. here would you divide the lighted side from the shadow side on this hand cast image?. Are My Data Normal?. @UWE_JT9. @. dave_lush. Scientific . Practice. Do My Data . Fit?. Statistics relies on having expectations about how experimental data are distributed. if we know how we expect data to behave, we can draw inferences if we observe its behaviour change. Into to . Comparing . 2 Groups. Analysis of Biological Data/Biometrics. Dr. Ryan McEwan. Department of Biology. University of Dayton. ryan.mcewan@udayton.edu. First Principle:. As a scientist, investigator or data handler, it is your personal responsibility to make sure that the analysis you are doing is appropriate.. Data Analysis & Computers II. Slide . 1. Assumption of normality. Assumption of normality. Transformations. Assumption of normality script. Practice problems. SW388R7. Data Analysis & Computers II. Comparing . & Ordering Fractions. Please . do not . be these people!. Comparing . & Ordering Fractions. Objective:. . 7.1.02. Essential Questions:. . How can I compare and order fractions?. They are the glue that holds everything together and makes it Messy Church.. Values never change. Values. Christ-centred. All Age. Creativity. Hospitality. Celebration. Let’s explore “Christ centred”. Chapter 9. Review of Simulation-Based Tests. One proportion: . We created a null distribution by flipping a coin, rolling a die, or some computer simulation. . We then found where our sample proportion was in this null distribution.. Interactive Multiobjective Optimization Methods. Bekir Afsar. bekir.b.afsar@jyu.fi. University of Jyväskylä. Finland. 19.6.2023. Outline. Introduction. Systematic review of assessing interactive methods.