Curriculum
- 6 Sections
- 16 Lessons
- 18 Hours
Expand all sectionsCollapse all sections
- 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 5 - Reporting T Test Results1
- 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 3 - Conducting Independent-Samples T TestThe independent sample t-test is a statistical method used to compare the means of two independent groups, assessing whether their differences are statistically significant. This test is typically applied when comparing outcomes across two distinct groups, such as treatment and control groups in an experiment. We shall use the given data to evaluate whether observed differences are due to chance or a true effect.3
- Module 4 - Conducting Paired Samples T TestThe paired sample t-test is a statistical method used to compare the means of two related groups to determine if there is a statistically significant difference between them. This test is often applied in before-and-after studies or in situations where the same subjects are measured under different conditions. To illustrate this test, we use the hypothetical data to assess if there is a mean difference between two related conditions or time points.3
- - 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
