Overview
Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics of the Hypothesis Testing in Public Health course offered by Coursera in partnership with Johns Hopkins University include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
What you will learn
- Use statistical methods to analyze sampling distribution
- Estimate and interpret 95% confidence intervals for single samples
- Estimate and interpret 95% confidence intervals for two populations
- Estimate and interpret p values for hypothesis testing
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Sampling Distributions and Standard Errors
- Confidence Intervals for Single Population Parameters
- Confidence Intervals for Population Comparison Measures
- Two-Group Hypothesis Testing: The General Concept and Comparing Means
- Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
- Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Public Health Health Sciences View 142 other Short Courses in Health Sciences in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.