Statistical Hypothesis Testing

Statistical Hypothesis Testing is a method used in statistics to decide whether a hypothesis about a data sample is true or not. Coursera's skill catalogue teaches you these statistical methods to make data-driven decisions. You'll learn about the fundamental concepts of null and alternative hypotheses, types of errors, and the p-value. You'll also understand how to perform different statistical tests such as Z-test, T-test, Chi-square test, and ANOVA. This knowledge will equip you to analyze and interpret statistical results, essential skills for careers in data science, research, market analysis, and more.
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Results for "statistical hypothesis testing"

  • Status: New
    Status: Preview

    Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing

  • Status: Free Trial

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Data Ethics, Statistics, A/B Testing, Data Analysis, Data Science, Descriptive Statistics, Quantitative Research, Artificial Intelligence

  • Status: Preview

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Probability & Statistics, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

  • Status: Free Trial

    Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Data Presentation, Marketing, Analytics, Web Analytics

  • Status: Free Trial

    Duke University

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization

  • Status: New
    Status: Preview

    Skills you'll gain: Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Quality Management, Statistical Analysis, Regression Analysis, Probability & Statistics, Microsoft Excel, Statistical Hypothesis Testing

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Data Analysis, Molecular Biology, R Programming, Python Programming

  • Status: Free Trial

    Kennesaw State University

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Project Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization

  • Status: Free Trial

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Statistics, Statistical Modeling, Data Analysis, Probability & Statistics, Public Health

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

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