Sampling from populations is a very important part of Statistics. Statistics is the science of collecting, analzying, interpreting, and organizing data to make sense of a population of interest. It is important to know how to collect samples. It is also important to be able to design experiments in an unbiased manner.
In Statistics, it is important to understand the terminology. In this section, we will look at the definition of statistics, the difference between populations and samples, the difference between parameters and statistics, and the different branches of statistics.The videos will also look at the different types of data. Qualitative (aka Categorical) data is data that can only be classified or is an attribute. Quantitative is data that can measured, counted, or that you can perform mathematical operations on.
In statistics, there are many ways to gather data. It is important to know the different means of gathering data. It is also imperative that if you are using a sample that you are using a representative sample. The videos will discuss methods of gathering data as well as different ways of sampling from the population. The videos will also look at different types of bias that may occur.
Designing a Statistical Study
Methods of Collecting Data
Sampling Techniques
Generate a Simple Random Sample from a Random Number Table
Experimental Design
The videos in this section explore the important aspects of experimental design. Experiments should be randomized, controlled, and easily replicated. It is important to watch for lurking variables and control for as many of those as you can. In experimenting, it is important not to confuse was is causing the results.