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    • Hypothesis Testing

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    52 results for "hypothesis testing"

    • Johns Hopkins University

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: iOS Development, Hypothesis, Data Analysis, Chi-Squared Distribution, Statistical Tests, Hypothesis Testing, Statistical Analysis, Business Analysis, General Statistics, Probability & Statistics, Biostatistics, Interpretation, Statistical Hypothesis Testing, Confidence, Mobile Development

      4.8

      (533 reviews)

      Beginner · Course

    • Tufts University

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Data Analysis, Hypothesis, Experiment, Data Analysis Software

      4.2

      (17 reviews)

      Intermediate · Course

    • University of Colorado Boulder

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Probability & Statistics, General Statistics, Hypothesis, Statistical Tests, Inference

      4.7

      (9 reviews)

      Intermediate · Course

    • Rice University

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Microsoft Excel, Data Analysis, Statistical Tests, Hypothesis, Statistical Analysis, Probability & Statistics, Hypothesis Testing, Business Analysis, Experiment, Analysis, Spreadsheet Software, Statistical Hypothesis Testing, General Statistics, Relative Change And Difference, Confidence

      4.8

      (1.2k reviews)

      Mixed · Course

    • Coursera Project Network

      Coursera Project Network

      Hypothesis Testing in R

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, R Programming, Statistical Programming, Hypothesis, Statistical Hypothesis Testing, Hypothesis Testing, Statistical Inference

      4.6

      (19 reviews)

      Intermediate · Guided Project

    • Coursera Project Network

      Coursera Project Network

      RStudio for Six Sigma - Hypothesis Testing

      Skills you'll gain: Hypothesis, General Statistics, Probability & Statistics

      4.4

      (7 reviews)

      Intermediate · Guided Project

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      IBM

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Data Analysis, Statistical Hypothesis Testing, Probability & Statistics, Hypothesis, Inference, Exploratory Data Analysis, Probability, General Statistics, Business Analysis, Analysis, Statistical Analysis

      4.2

      (94 reviews)

      Advanced · Course

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      Queen Mary University of London

      Queen Mary University of London

      Hypotheses Testing in Econometrics

      Intermediate · Course

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      SAS

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Correlation And Dependence, Data Analysis, SAS (Software), General Statistics, Probability & Statistics, Regression, Statistical Programming, Analysis, Business Analysis, Statistical Tests, Statistical Analysis

      4.6

      (70 reviews)

      Intermediate · Course

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      Free

      Stanford University

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Analysis, Regression, Hypothesis, Econometrics, Basic Descriptive Statistics, Machine Learning, Markov Model, Correlation And Dependence, Inference, Statistical Tests, Probability & Statistics, Bayesian Statistics, Probability, Hypothesis Testing, Statistical Inference, Experiment, General Statistics, Analysis, Statistical Analysis, Probability Distribution

      4.5

      (1.1k reviews)

      Beginner · Course

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      Free

      University of Cape Town

      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      Skills you'll gain: Data Analysis, Basic Descriptive Statistics, Probability & Statistics, General Statistics, Statistical Tests, Statistical Hypothesis Testing, Business Analysis, Analysis, Statistical Analysis, Probability Distribution, Experiment

      4.8

      (2.8k reviews)

      Mixed · Course

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      IBM

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Data Visualization, Data Analysis, Python Programming, Machine Learning, NoSQL, Statistical Programming, Exploratory Data Analysis, General Statistics, Computer Programming, Hypothesis, Feature Engineering, Analysis, Experiment, Bayesian Statistics, Statistical Hypothesis Testing, Business Analysis, Probability & Statistics, Hypothesis Testing, Deep Learning, Databases

      4.6

      (744 reviews)

      Intermediate · Course

    Searches related to hypothesis testing

    hypothesis testing with python and excel
    hypothesis testing in public health
    hypothesis testing in r
    statistical inference and hypothesis testing in data science applications
    business applications of hypothesis testing and confidence interval estimation
    introduction to statistical analysis: hypothesis testing
    rstudio for six sigma - hypothesis testing
    ai workflow: data analysis and hypothesis testing
    12345

    In summary, here are 10 of our most popular hypothesis testing courses

    • Hypothesis Testing in Public Health: Johns Hopkins University
    • Hypothesis Testing with Python and Excel: Tufts University
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation: Rice University
    • Hypothesis Testing in R: Coursera Project Network
    • RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • Hypotheses Testing in Econometrics: Queen Mary University of London
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Introduction to Statistics: Stanford University

    Frequently Asked Questions about Hypothesis Testing

    • While hypothesis might make you think of science, hypothesis testing is a mathematical process that involves testing data using statistics to see if there is enough evidence to support a hypothesis. A hypothesis is a belief or a proposed explanation for something that has not yet been backed up by evidence. Hypothesis testing takes the data gathered in an experiment, survey, or other collection of information and interprets it. The five steps of hypothesis testing are specifying the null hypothesis (the statement of no relationship between the factors involved), specifying the alternative hypothesis (the statement that there is a relationship between the factors involved), setting the significance level (the percentage of chance the alternative hypothesis will be accepted), calculating the test statistic and corresponding P-value (probability of obtaining the sample statistic), and drawing a conclusion.‎

    • Learning hypothesis testing is important because it's what allows you to decide if something is true based on real data. If you're in marketing, for example, you can use hypothesis testing in consumer research to see how well your product is accepted by customers. If you're in the medical field, you can use it to see if a treatment has positive effects. An educational institution may be interested in determining if getting eight hours of sleep correlates with higher grades for its students. Hypothesis testing helps remove the likelihood of chance affecting a conclusion and instead backs it up with statistically significant data.‎

    • Online courses on Coursera can help you learn how hypothesis testing applies to a variety of fields, including health care, business, artificial intelligence, psychology, social sciences, and machine learning. You can learn how to use specific statistical tools to conduct hypothesis testing, too, such as R, RStudio for Six Sigma, and Python. With online courses on Coursera, you also have the opportunity to learn the essential building blocks of hypothesis testing, which include choosing the right hypothesis testing tool and performing hypothesis tests using chi-square tests, correlation, t-tests, simple regression, logistic regression, and analysis of variance (ANOVA).‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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