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: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Analysis, Data Analysis Software, Statistical Methods, Plot (Graphics), Statistical Hypothesis Testing

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Regression Analysis, Feature Engineering, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

  • Status: Preview

    Eindhoven University of Technology

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

  • Status: Free Trial

    Duke University

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

  • 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: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation

  • Duke University

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: SAS (Software), Predictive Modeling, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Big Data, Plot (Graphics), Data Analysis, Data Literacy, Data Analysis Software, Advanced Analytics, Feature Engineering, Performance Analysis, Performance Measurement

  • 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
    Status: AI skills

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Quality, Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

  • Status: Free Trial

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

  • Status: New
    Status: Preview

    Skills you'll gain: SAS (Software), Descriptive Statistics, Market Data, Financial Data, Risk Modeling, Regression Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Analysis Software, Statistical Analysis, Financial Market, Time Series Analysis and Forecasting, Trend Analysis, Financial Analysis, Variance Analysis, Forecasting

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