• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Up To Speed With Categorical Data Analysis
Up To Speed With Categorical Data Analysis

Document
Document

The normal curve and standardisation
The normal curve and standardisation

cowan_cern_3
cowan_cern_3

Lect.7
Lect.7

Chapter 11 quantitative data
Chapter 11 quantitative data

Training school teachers to teach probability: reflections and
Training school teachers to teach probability: reflections and

Math 227 Ch 12 notes KEY S16.docx
Math 227 Ch 12 notes KEY S16.docx

Browsing around a digital library seminar
Browsing around a digital library seminar

Chapter 8 Notes - Mr. Davis Math
Chapter 8 Notes - Mr. Davis Math

foreign exchange rates
foreign exchange rates

... This is somewhat straighter than the plot for the original data, except perhaps for a small number of points at each end, and suggests that it may be more reasonable to view the changes as being conditionally normally distributed, given the past values, than as unconditionally normally distributed. ...
Quantifauxcation - Department of Statistics
Quantifauxcation - Department of Statistics

... probability doesn’t apply to the phenomenon you’re talking about? What if you can’t quantify the consequences, or can’t put them on a common scale? Insisting on quantifying risk and on quantitative cost-benefit analyses requires doing things that may not make sense technically or morally. Moreover, ...
LecturePPT_ch02
LecturePPT_ch02

... than the average fare’ for their specific flight.” ...
Student Study Guide
Student Study Guide

1 Section 2.4
1 Section 2.4

Chapter 8 Estimating with Confidence Notes Power Point Monday
Chapter 8 Estimating with Confidence Notes Power Point Monday

Final Test - BrainMass
Final Test - BrainMass

Exercise Answers Chapter 08
Exercise Answers Chapter 08

... 9. A stream has been monitored weekly for a number of years, and the total dissolved solids in the stream averages 40 parts per million and is constant throughout the year. Following a recent change in land use in the drainage basins of the stream, a fluvial geomorphologist finds that the mean parts ...
Figure 5-1 (p. 139)
Figure 5-1 (p. 139)

2005 AP Statistics Free Response
2005 AP Statistics Free Response

MSc APPLIED STATISTICS - Department of Economics
MSc APPLIED STATISTICS - Department of Economics

new companies
new companies

... population (no. of words). If larger that 20, choose the  raw. • t value of 0.999932 is not larger than 2.576, the critical value for a=0.005. So we cannot reject the null hypothesis that new and companies occur independently, meaning that they form a collocation. Value in t-table BIGGER that obtai ...
Large-Sample Estimation
Large-Sample Estimation

Procedure for Performing T-tests with the TI-84
Procedure for Performing T-tests with the TI-84

6.5 The Central Limit Theorem
6.5 The Central Limit Theorem

< 1 ... 100 101 102 103 104 105 106 107 108 ... 269 >

Foundations of statistics

Foundations of statistics is the usual name for the epistemological debate in statistics over how one should conduct inductive inference from data. Among the issues considered in statistical inference are the question of Bayesian inference versus frequentist inference, the distinction between Fisher's ""significance testing"" and Neyman-Pearson ""hypothesis testing"", and whether the likelihood principle should be followed. Some of these issues have been debated for up to 200 years without resolution.Bandyopadhyay & Forster describe four statistical paradigms: ""(1) classical statistics or error statistics, (ii) Bayesian statistics, (iii) likelihood-based statistics, and (iv) the Akaikean-Information Criterion-based statistics"".Savage's text Foundations of Statistics has been cited over 10000 times on Google Scholar. It tells the following.It is unanimously agreed that statistics depends somehow on probability. But, as to what probability is and how it is connected with statistics, there has seldom been such complete disagreement and breakdown of communication since the Tower of Babel. Doubtless, much of the disagreement is merely terminological and would disappear under sufficiently sharp analysis.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report