📊 COURSE DESCRIPTION
In today’s data-driven world, estimating population parameters, testing hypotheses, and drawing reliable conclusions from sample data are indispensable skills.
This course introduces inferential statistics — a powerful approach that uses probability and statistical models to uncover trends and patterns in data. You’ll focus specifically on t-tests to extract meaningful insights from samples and make accurate predictions about populations.
Foundations in T-Tests is the first installment in a series dedicated to inferential techniques, with an emphasis on mastering t-tests. Through 6 lessons and 3 quizzes, you’ll gain hands-on experience using SPSS statistical procedures. Content is presented in a clear, accessible manner, minimizing technical jargon.
Designed for busy professionals, this self-paced training allows you to learn independently and flexibly.
✅  LEARNING OUTCOMES
By the end of this course, you’ll be able to:
- Perform independent and paired t-tests using SPSS.
- Interpret SPSS output for statistical significance (p-values, confidence intervals).
- Report t-test results professionally in APA format (e.g., for academic or business reports).
📌 ENROLLMENT DETAILS
- Start Date: Enroll anytime! Immediate access upon registration.
- Duration: Self-paced (average completion: 3–4 weeks).
- Prerequisites: Basic understanding of descriptive statistics (mean, standard deviation).
- Tools Required: SPSS software (free trial available).
- Price: FREE
- Enroll Now: Start Learning Today
📜CERTIFICATION
THE CALL Info (THE CALL eAcademy) does not offer academic credit or industry certification. However, participants who complete all assignments and pass all quizzes may request a certificate of completion.
Course Features
- Lectures 10
- Quizzes 2
- Duration 18 hours
- Skill level All levels
- Language English
- Students 4
- Certificate No
- Assessments Self
Curriculum
- 4 Sections
- 10 Lessons
- 18 Hours
- Module 1 - Overview of t -Test AnalysisThe t-test is a fundamental tool in scientific research, frequently used to examine relationships between two variables. It helps answer key questions, such as whether changes in one variable necessitate changes in another, or whether different levels of one variable are associated with different outcomes in another. This section introduces the basic concepts, applications, and assumptions underlying the t-test.4
- Module 2 - Conducting One-Sample T TestThe one-sample t-test is a statistical method used to determine whether the mean of a single sample differs significantly from a known or hypothesized population mean. This test is useful for evaluating if a sample’s mean is consistent with an expected value. In this tutorial we shall use a hypothetical data to test if the sample mean significantly deviates from a specified population mean.3
- Module 5 - Reporting T Test Results1
- - Conducting T TestsThis section walks you through how to carry out various SPSS procedures for t-tests. It focuses on one sample t-test, independent-samples t-test, and paired-samples t-test. Prior knowledge in data requirement for t tests and how to report results of t tests is necessary. A 20-item quiz is presented to assess learner's skills and knowledge in in performing t-tests.4
Requirements
- access to a personal computer or a similar device with internet connectivity.
- knowledge and skills in operating a personal computer or a similar device.
- light experience in creating SPSS datasets
- strong desire to work quicker, smarter and safer in research data analysis.
- payment of the subscription fee
Features
- The online data analysis is self-paced to allow you greater flexibility in scheduling the lessons at your own convenience and speed.
- The course elements are primarily texts and are supported by appealing images, videos, animations, and info graphics.
- The course contents are responsive and work efficiently on mobile phones. Use your laptop/PC for exercises, and smartphones for course instructions and related interactions.
- The online course provides contact form (email), online chat (whatsapp), comments/discussion as interactive interface for you to connect and engage with your instructor and fellow learners.
- The seat hour for each lesson is approximately 90 minutes duration where the course related activities are primarily reading, studying, hands on, quizzes, exercises and/or project works.
Target audiences
- Faculty members
- Research scholars
- Students - undergraduate and postgraduate
- Decision makers
