t-Distribution Courses and Certifications

Business Applications of Hypothesis Testing and Confidence Interval Estimation

1312 ratings at Coursera

Learn to apply confidence intervals and hypothesis testing in business decision-making. Master statistical tools to measure uncertainty, analyze data, and make informed choices in various business scenarios.

• Coursera
• 1 day 28 minutes
• On-Demand
• Free Online Course (Audit)

Inference for Linear Regression in R

In this course you'll learn how to perform inference using linear models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

statisticsmatt

Statistical Distributions

2 reviews

Comprehensive exploration of advanced statistical distributions, covering derivations, properties, and applications of various probability models for in-depth understanding and analysis.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Introduction to Statistics in Sociology and Social Sciences

Explore statistical methods for sociological research, covering descriptive and inferential statistics, hypothesis testing, and data analysis using computers and calculators.

• California Community Colleges System
• 15 weeks, 3 hours a week
• 26th Aug, 2024
• Paid Course

Statistics Foundations: 3

716 ratings at LinkedIn Learning

Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.

• LinkedIn Learning
• 1 hour 30 minutes
• On-Demand
• Free Trial Available

Applied Analytical Programming

Comprehensive introduction to statistical concepts and analytical programming, covering probability, distributions, hypothesis testing, regression, and data visualization techniques.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Distributions

Explore key probability distributions, their functions, and applications in statistics through detailed explanations and examples.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Univariate Analysis in Statistics and with R - Statistics for Beginners

Comprehensive introduction to univariate analysis in statistics, covering key concepts like t-distribution, hypothesis testing, and confidence intervals. Includes practical examples using R for data analysis and visualization.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

jbstatistics

Continuous Probability Distributions

Explore continuous probability distributions, including uniform, normal, chi-square, t, and F. Learn to calculate probabilities, percentiles, means, and variances using integration techniques.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Statistics Foundations: Advanced Topics

Complete your mastery of statistics with this advanced concepts course on t-distribution, degrees of freedom, regression testing, and ANOVA.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

ExcelIsFun

Excel Statistical Analysis - Learn Central Limit Theorem by Building Sampling Distribution of Xbar

Explore the Central Limit Theorem through practical Excel exercises, learning to build sampling distributions and apply statistical concepts for informed business decision-making.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Derek Banas

Statistics Tutorial - T Distribution and Hypothesis Testing

Learn to calculate and interpret T distributions, use T tables, understand degrees of freedom, and perform hypothesis testing with independent and dependent samples in this comprehensive statistics tutorial.

• YouTube
• 22 minutes
• On-Demand
• Free Video

UofU Data Science

t-Distribution and Confidence Intervals - Lecture 14

Explore statistical inference through t-distributions, confidence intervals, and estimators, building essential skills for data analysis and probability interpretation.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Fujian Medical University

医学统计学

Master essential medical statistics principles and methods for analyzing health data, from basic theory to advanced regression analysis and survival curves, with practical software applications.

• XuetangX
• On-Demand
• Free Online Course