# Section 1.1 Types of Data

This sections begins a chapter on statistics. Statistics is a branch of mathematics concerned with how data is collected, organized, analyzed, interpreted, and presented. You will get a taste of each of these areas in the six sections in this chapter.

To begin, you need to understand what data is and where we get it from. Data can take many forms and are collected to help people understand problems in business and science. You may be familiar with the United States census that is conducted every ten years. In this census, the population of the United States answers questions about many topics. The data collected helps to apportion the United States Congress and allocate government spending.

Data is collected from users on the Internet to help companies understand consumers and market products to consumers. Studies are conducted by researchers to collect data on the efficacy of medical treatments and drugs. Even your college collects data on students to help them improve teaching and develop programs that help students to complete degrees.

The purpose of this section is to recognize the terminology used in statistical studies. We will do this through a series of questions that will help you to

• distinguish qualitative data from quantitative data,
• distinguish a population from a sample,
• distinguish a statistic from a parameter,
• and distinguish discrete data from continuous data.

The workbook and videos below are designed to help you accomplish these objectives. The workbook presents a brief outline of the topics followed by guided examples and practice problems. As you read through the guided examples, complete the accompanying practice problem next to it. This practice will help you to learn the information and embed it in your long term memory.

Section 1.1 Practice SolutionsChapter 1 Practice Solutions (PDF)(7-28-19)