• 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
Statistics in a NutShell
Statistics in a NutShell

... population; and therefore, the sample statistic is an accurate estimate of the population parameter. If the sample is not representative of the population, then all bets are off ! ...
Interpreting Statistics in the Urological Literature
Interpreting Statistics in the Urological Literature

... false-positive result, ie to erroneously reject H0 and accept HA, although in reality H0 is true. This type of mistake is referred to as type I error. Its probability increases with the number of statistical tests that are performed or so-called multiple testing. While ␣ is by convention commonly se ...
Class 2
Class 2

...  With t = 1.552, I can conclude the following:  12% probability that μ belongs to the distribution where the population mean = 95,000  I have 12% chances to wrongly reject H0  88% probability that μ belongs to another distribution where the population mean ≠ 95,000  I have 88% chances to rightl ...
Statistics-2
Statistics-2

Glencoe Algebra 1 - Burlington County Institute of Technology
Glencoe Algebra 1 - Burlington County Institute of Technology

... Both distributions are symmetric. Josh was slightly more consistent than Ben. ...
2 - Olympia College
2 - Olympia College

... Use graph paper to draw scatter diagrams to visualize the relationship between two variables. Use regression analysis to estimate equation to predict future values of dependent variables. Learn how correlation analysis describes the degree to which two variables are linearly related to each other. U ...
CS1512
CS1512

... Sets ...
Basic statistical methods
Basic statistical methods

... Correct: our data is unlikely given the H0. We don’t believe in unlikely things so something is wrong. Reject H0. Common language: It is unlikely that H0 is true; we should ...
CENTRAL TEXAS COLLEGE SYLLABUS FOR MATH 1342
CENTRAL TEXAS COLLEGE SYLLABUS FOR MATH 1342

Document
Document

Summary of Chapter Three Random Variables: Let S be the sample
Summary of Chapter Three Random Variables: Let S be the sample

... Random Variables: Let S be the sample space of an experiment. A real-valued function X : S → R is called a random variable.If X takes finite or countable number of possible values, then X is said to be discrete. Distribution Function: For a random variable X, its distribution function F (x) is defin ...
Video Worksheets
Video Worksheets

22C:19 Discrete Math
22C:19 Discrete Math

TEACHING AN UNDERGRADUATE STATISTICS CLASS WITH
TEACHING AN UNDERGRADUATE STATISTICS CLASS WITH

Average of n independent experiments
Average of n independent experiments

AP STATISTICS Course Syllabus Teacher: J. Estefano Room:1002
AP STATISTICS Course Syllabus Teacher: J. Estefano Room:1002

... skills, students are required to prepare frequent written and oral analyses of real data. COURSE GOALS: In AP Statistics, students are expected to learn skills, knowledge, and habits of mind. Skills consist of producing convincing oral and written statistical arguments, using appropriate terminology ...
A continuous - People Server at UNCW
A continuous - People Server at UNCW

Bayesian analysis of 2x2 contingency tables from comparative trials
Bayesian analysis of 2x2 contingency tables from comparative trials

Apply knowledge of statistics and probability to critically
Apply knowledge of statistics and probability to critically

SECTION 9.3 – SIGNIFICANCE TESTS ABOUT MEANS
SECTION 9.3 – SIGNIFICANCE TESTS ABOUT MEANS

PAMSA Learnerships
PAMSA Learnerships

Slide 1
Slide 1

Descriptive Statistics
Descriptive Statistics

Assessing psychology students` difficulties with conditional
Assessing psychology students` difficulties with conditional

... misconceptions described in the literature. In this work we will describe the process of developing the questionnaire and will report the results from a sample of 206 psychology students. INTRODUCTION Conditional probabilities and Bayes theorem are highly relevant in the field of psychology, where t ...
CM2104: Computational Mathematics Laboratory Worksheet (Week
CM2104: Computational Mathematics Laboratory Worksheet (Week

... • Basic Discrete Probability Theory: Probability, Conditional Probability, Bayes’ Theorem • Discrete Random Variables: Probability distributions, Expectation and Variance, Uniform, Binomial, Geometric and Poisson Distributions. • Estimators: Maximum likelihood estimation, Bias, Bayesian Inference • ...
< 1 ... 194 195 196 197 198 199 200 201 202 ... 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