To address questions like these, the course is divided into three topics:
- In Topic 1, we examine the characteristics of point estimates – measurements that we take from samples to make inferences about a population.
- Topic 2 deals with confidence intervals , which help us to establish upper and lower limits about where we think the “true” population characteristic lies, at a certain level of confidence.
- In Topic 3, which is the largest and most important part of this course, we explore hypothesis testing. This includes one-, two- and many-sample forms of testing.
Upon successful completion of this course, you will be able to:
- Describe the characteristics of point estimates and how they can be used to make inferences about a population.
- Calculate upper and lower bounds of confidence intervals for given levels of confidence.
- Describe the general process for conducting a hypothesis test using the Z-score or p-value methods.
- Conduct a hypothesis test and interpret the meaning of the result for: one mean or proportion against a predetermined standard; two means or proportions against one another; paired data from repeated measurements of the same sample or matched pairs of individuals; and many means using an analysis of variance (ANOVA).
- Lectures 0
- Quizzes 0
- Duration 4 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes