Major Types of Data
Observations about qualitative variables are typically made in words but are possibly coded into numbers later on for purposes of data processing. Observations about quantitative variables, in contrast, are numerical at the outset. Anyone who works with numbers, therefore, must be very clear about what, if anything, is measured by them. Continue reading Major Types of Data
Major Types of Data
Errors in Survey Data
All survey data are subject to error; errors can arise from innumerable, often unexpected, sources. Errors can be generated during the planning stage of a survey, more errors can be created during the later stages of data recording and processing. Indeed, we cannot list all the ways in which surveys can go wrong. It is possible, however, to raise our awareness of the problem by focusing on two broad categories of error, random error and systematic error (or bias). Continue reading Errors in Survey Data
Types of Samples Continue reading Types of Samples
Reasons for sampling Continue reading Why Sampling?
Statistical work cannot be performed in a vacuum. Before all else, such work requires the acquisition of a crucial type of raw material: information relevant to the subject matter under study. Before going with data collection, you must become familiar … Continue reading Basic Concepts of Data Collection
This short article is for those who are interested in learning about statistics with zero knowledge about it. I thought it would be a good start to know few definitions about statistics, in general. Introduction Most people associate the term … Continue reading What is Statistics?
No doubt, one of the most popular jobs nowadays is the data analyst job, and this is for may reasons. One reason is that the new world has become more data-driven, and everything around us uses data in many forms, … Continue reading Become a Data Analyst
Since I created my facebook page, I have posted seven small tips that can help data analysis beginners. I decided to post all of them together in one post so they become more beneficial. Here are they: Tip 1: Collect … Continue reading Data Analysis Tips