№ lp_1_07594
File format: docx
Character count: 63287
File size: 480 KB
A course syllabus outlining the structure, policies, and content of PSY-3000.001, which teaches statistical methods for psychological research, including topics like hypothesis testing, correlation, and data analysis in R.
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
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.
The file will be delivered to the email address provided at checkout within 12 hours.
Don’t have cryptocurrency yet?
You can still complete your purchase in a few minutes:- Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
- In the app, tap Send.
- Select network, paste our wallet address.
- Send the exact amount shown above.
The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
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
Note:
Year
Subject:
Reporting and Data Entry
Document Type:
Training Manual
Target Audience:
FSIGA members, Self-Insurers
Context:
A training manual for Self-Insurers on the use of the SI-17 form for reporting loss data in Excel format for experience modification purposes, including detailed instructions for submitting claims.
Year:
2023
Region / City:
Novosibirsk, Moscow
Topic:
Transcription factor binding sites, ChIP-seq, plant genomes
Document type:
Research article
Organization / Institution:
Novosibirsk State University, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Moscow Witte Financial University, Financial Academy under the Government of the Russian Federation, Moscow State Technical University of Civil Aviation, Agrarian and Technological Institute, Peoples’ Friendship University of Russia, I.M. Sechenov First Moscow State Medical University
Author:
A.I. Dergilev, N.G. Orlova, O.B. Dobrovolskaya, Y.L. Orlov
Target audience:
Researchers, bioinformaticians, molecular biologists
Period of validity:
N/A
Approval date:
N/A
Modification date:
N/A
Year:
2021
Region / City:
Global
Theme:
Statistical Capacity Building, Data Development
Document Type:
Report
Author:
World Bank
Target Audience:
Policymakers, Statistical Institutions, Development Partners
Period of Validity:
2021 and beyond
Approval Date:
2021
Date of Changes:
N/A
Year:
2023
Region / city:
United States
Topic:
Reentry Employment Opportunities (REO) Evaluation
Document Type:
Supporting Statement
Organization / Institution:
U.S. Department of Labor (DOL)
Author:
Chief Evaluation Office (CEO), Mathematica Policy Research, Social Policy Research Associates (SPR)
Target Audience:
REO grantees, program managers, and study participants
Period of Validity:
2016–2018
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / City:
United States
Theme:
Statistical Design and Data Collection
Document Type:
Request for Approval
Organization / Institution:
Bureau of Justice Statistics
Author:
Bureau of Justice Statistics
Target Audience:
Researchers, Federal Agencies, and Statistical Organizations
Period of Effectiveness:
2023-2026
Approval Date:
Pending
Amendment Date:
Not specified
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
Year:
2024
Region / City:
Victoria, Australia
Topic:
VET Student Statistical Collection Guidelines
Document Type:
Guideline
Organization:
Department of Jobs, Skills, Industry and Regions (DJSIR)
Author:
DJSIR
Target Audience:
Training Providers, Software Developers, Data Analysts
Effective Period:
2024-2025
Approval Date:
October 2024
Revision Date:
October 2024
Year:
2026
Region / City:
Rome
Theme:
Agriculture, Statistics
Document Type:
Report
Organization:
FOOD AND AGRICULTURAL ORGANIZATION OF THE UNITED NATIONS
Author:
FAO
Target Audience:
Governments, Agricultural Institutions, Policy Makers, Researchers
Period of Application:
2030
Approval Date:
2026
Amendment Date:
N/A