Statistical Estimation
In this chapter, we will introduce you to a range of statistical techniques that enable you to make inferences and estimations using both numerical and categorical data. We will explore key concepts and methods, such as hypothesis testing, confidence intervals, and estimation techniques, that empower us to make generalizations about populations from a given sample.
By the end of this chapter, you will grasp the core concepts of statistical inference and be able to perform hypothesis testing in different scenarios.
In this chapter, we will cover the following main topics:
- Statistical inference for categorical data
- Statistical inference for numerical data
- Constructing the bootstrapped confidence interval
- Introducing the central limit theorem used in t-distribution
- Constructing the confidence interval for the population mean using the t-distribution
- Performing hypothesis testing for two means
- Introducing ANOVA
To run...
