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This document provides a comprehensive teaching guide for statistical hypothesis testing, including methods for hypothesis testing in binomial probability, normal distribution, and correlation analysis.
Year:
Not specified
Region / City:
Not specified
Subject:
Statistics, Hypothesis Testing
Document Type:
Teaching Guide
Institution:
Not specified
Author:
Not specified
Target Audience:
Teachers, Learners
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2023
Region / city:
Emory University, USA
Topic:
Applied data analysis, Statistical learning, Machine learning, Statistical decision theory
Document type:
Syllabus
Institution:
Emory University
Instructor:
Abhishek Ananth
Target audience:
Students in data science, statistics, and related fields
Prerequisite:
None
Course duration:
15 weeks
Reading material:
Hansen, Bruce. Econometrics. Princeton University Press, 2022. James, Gareth, et al. An Introduction to Statistical Learning: with Applications in Python. New York: springer, 2023.
Assessment:
Problem sets (5) – 14% each, Class participation – 5%, Take-home final – 25%
Date of approval:
Not specified
Date of changes:
Not specified
Note:
Year
Note:
Year
Topic:
Statistics
Document Type:
Academic Text
Target Audience:
Students, Researchers in Criminal Justice, Statistics
Year:
2023
Topic:
Physics Lab Experiment
Document Type:
Scientific Experiment
Author:
Unspecified
Target Audience:
Students in Physics
Period of validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
1937
Region:
Pacific Ocean / Howland Island area
Subject:
Aviation history and psychology
Document type:
Research study / scientific article
Organization:
TIGHAR (The International Group for Historic Aircraft Recovery)
Author:
J. Guthrie Ford, Ph.D.
Target audience:
Scholars, aviation historians, and psychology researchers
Period covered:
July 2, 1937, post-lost period of Amelia Earhart
Methodology:
Language-based analysis of post-lost communication
Comparative cases:
"Lady Be Good" crew (1943), Captain William Lancaster (1933)
Data sources:
Diaries, forensic analysis, archival records, radio and navigation data, eyewitness accounts
Year:
2023
Region / City:
Global
Field:
Astrobiology, Philosophy
Document Type:
Academic Paper
Institution:
Independent Research
Author:
Unknown
Target Audience:
Academics, Researchers, Students in Astrobiology, Philosophy, and Science
Period of Application:
Contemporary
Approval Date:
2023
Date of Changes:
None
Course:
Astronomy 5
Document Type:
Study Guide
Academic Field:
Astronomy
Topic Areas:
Scientific Method; Celestial Sphere; Motions of the Earth; Phases of the Moon; Eclipses; Gravity; History of Astronomical Models; Nature of Light; Electromagnetic Spectrum; Telescopes; Comparative Planetology
Related Concepts:
Nebular Hypothesis; Geocentric and Heliocentric Models; Newton’s Laws; Kepler’s Laws; Blackbody Radiation; Absorption and Emission Spectra
Scientists Referenced:
Aristotle; Eratosthenes; Ptolemy; Copernicus; Tycho Brahe; Johannes Kepler; Galileo Galilei; Isaac Newton
Educational Level:
College or University Introductory Astronomy Course
Intended Audience:
Students enrolled in Astronomy 5
Assessment Context:
Comprehensive Final Exam
Permitted Exam Materials:
Hand-written notecard (5”×8” for final exam)
Content Coverage:
Astronomy fundamentals, celestial motions, lunar phases and eclipses, gravitational theory, properties of light, telescope design, and planetary classification
Instructional Format:
Topic prompts and conceptual questions for exam preparation
Year:
2026
Region / City:
Not specified
Subject:
Statistics / Probability / Hypothesis Testing
Document Type:
Educational Case Study
Institution:
Not specified
Author:
Not specified
Target Audience:
Students or learners of statistics
Sample Size:
Various (30, 50, 120)
Significance Levels:
5%, 10%
Tests Conducted:
One-tailed and two-tailed binomial tests
Variables:
Dice rolls, coin flips, cucumber weights, egg yolks
Purpose:
Assess potential bias or effect of intervention in binomial outcomes
Note:
Year
Topic:
Statistics, Mathematics
Document Type:
Worksheet
Institution:
Pearson Edexcel
Target Audience:
A Level Mathematics Students
Language:
English
Document Type:
Multiple-choice questionnaire
Subject:
Scientific method and experimental design
Topic:
Hypotheses, experiments, bias, placebo, correlation, and scientific reasoning
Format:
Assessment questions with answer choices
Number of Questions:
19
Educational Context:
Science education and research methodology instruction
Intended Audience:
Students studying basic scientific methodology
Structure:
Question prompts followed by five answer options each
Disciplinary Field:
Philosophy of science / research methods
Year:
Not specified
Region / City:
Not specified
Study Type:
Observational study
Analysis Method:
Weighted Logistic Regression, IPTW
Variables:
License Suspension, SES Index, Age, Race, Sex
Sample Size:
879
Outcome Measures:
Odds Ratios with 95% CI, Wald χ², p-values
Hypothesis:
Effect of license suspension on unemployment
Data Source:
Supplementary materials
Year:
2024
Region / city:
Utah
Subject:
Psychology
Document type:
Syllabus
Institution:
University of Utah, Department of Psychology
Instructor:
Kimberly Bowen, Ph.D.
Target audience:
Students of psychology, specifically those majoring or minoring in the College of Social & Behavioral Sciences
Period of validity:
Fall 2024
Date of approval:
Not specified
Date of changes:
Not specified
Course website:
https://utah.instructure.com/login/canvas
Class schedule:
Tu/Th 9:10-10:30am in ASB 210 (and lab sections 3000-002, 003, 004, 005, 006, 007)
Prerequisites:
C or better in PSY 1010 or equivalent, and specific math prerequisites
Office hours:
In-person: Tues 1-2:30pm, On Zoom: Thurs 2-3:30pm
Zoom link:
https://utah.zoom.us/j/4218918712
Year:
2024
Region / City:
Indian Country, United States
Subject:
Jails in Indian Country Survey
Document Type:
Statistical Survey Methodology
Organization:
Bureau of Justice Statistics (BJS)
Author:
Bureau of Justice Statistics (BJS)
Target Audience:
Indian country jail administrators and related authorities
Effective Period:
Annual
Approval Date:
Not specified
Date of Changes:
2024
Year:
2023
Region / City:
India
Topic:
Data Science, Artificial Intelligence, Official Statistics
Document Type:
Project Report
Organization:
National Statistical Office (NSO)
Author:
Not specified
Target Audience:
Government Agencies, Data Scientists, Researchers
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2023
Region / City:
Ireland
Topic:
Statistical Disclosure Control
Document Type:
Best Practice Guide
Organization / Institution:
Central Statistics Office (CSO)
Authors:
Timothy Linehan, Karina Dineen
Target Audience:
Researchers, Data Custodians, CSO Staff
Period of Validity:
Ongoing
Approval Date:
2023
Date of Revisions:
Not specified
Year:
1924
Region / city:
Not specified
Theme:
Quality control, Statistical methods
Document Type:
Educational/Informational
Organization / Institution:
Not specified
Author:
Dr. Walter A. Shewhart
Target audience:
Individuals interested in quality control methods
Period of action:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified
Year:
N/A
Region / City:
N/A
Theme:
Probability, Statistics, Education
Document Type:
Statistical Analysis
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Students, Educators, Statisticians
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2017
Country:
England
Region:
England
Topic:
Ambulance services performance and response times
Document type:
Statistical note
Issuing body:
NHS England
Programme:
Ambulance Response Programme
Indicators covered:
Ambulance Quality Indicators
Data periods covered:
May 2017; August 2017
Service categories:
Category A, Red 1, Red 2, C1–C4
Organisations referenced:
NHS ambulance trusts in England
Year:
2011
Region / City:
United States
Subject:
Employee compensation, statistical methods, sample design
Document Type:
Report
Organization / Institution:
Bureau of Labor Statistics (BLS)
Author:
Bureau of Labor Statistics (BLS)
Target Audience:
Policy makers, statisticians, labor analysts
Period of Validity:
2011 and onward
Approval Date:
Not specified
Amendment Date:
Not specified