Collective Data and Presentation
MATH TOPICS
CHAPTER 2
DATA COLLECTION AND PRESENTATION
2.1 Data Collection
This section aims to:
1. Identify, compare and contrast the different types of data;
2. List and explain the various techniques of selecting a sample; and
3. Enumerate and illustrate the different sampling techniques
Types of Data
Data is a collection of facts, such as values or measurements. It can be numbers, words, measurements, observations or even just descriptions of things.
Two types of Data
Primary Data means original data that has been collected specially for the purpose in mind. It means someone collected the data from the original source first hand. Data collected this way is called primary data
Data Collected Through Personal Investigation:
This data is collected by the investigator or the researcher or the researching team personally. The researcher or the team of researchers collects this data through the surveys that they conduct themselves. This type of data is more accurate as it is collected directly by the researcher.
Data Collected Through Workers:
The researcher or the researching team may hire another person or a group of people for conducting a survey to collect a data.
Secondary data is data that has been collected for another purpose. When we use Statistical Method with Primary Data from another purpose for our purpose we refer to it as Secondary Data. It means that one purpose's Primary Data is another purpose's Secondary Data. Secondary data is data that is being reused. Usually in a different context.
Sampling Techniques
Sampling is a fundamental aspect of statistics, but unlike the other methods of data collection, sampling involves choosing a method of sampling which further influences the data that you will result with. There are two major categories in sampling: probability and non-probability sampling.
Two types of Sampling techniques
Probability Sampling
Under probability sampling, for
CHAPTER 2
DATA COLLECTION AND PRESENTATION
2.1 Data Collection
This section aims to:
1. Identify, compare and contrast the different types of data;
2. List and explain the various techniques of selecting a sample; and
3. Enumerate and illustrate the different sampling techniques
Types of Data
Data is a collection of facts, such as values or measurements. It can be numbers, words, measurements, observations or even just descriptions of things.
Two types of Data
Primary Data means original data that has been collected specially for the purpose in mind. It means someone collected the data from the original source first hand. Data collected this way is called primary data
Data Collected Through Personal Investigation:
This data is collected by the investigator or the researcher or the researching team personally. The researcher or the team of researchers collects this data through the surveys that they conduct themselves. This type of data is more accurate as it is collected directly by the researcher.
Data Collected Through Workers:
The researcher or the researching team may hire another person or a group of people for conducting a survey to collect a data.
Secondary data is data that has been collected for another purpose. When we use Statistical Method with Primary Data from another purpose for our purpose we refer to it as Secondary Data. It means that one purpose's Primary Data is another purpose's Secondary Data. Secondary data is data that is being reused. Usually in a different context.
Sampling Techniques
Sampling is a fundamental aspect of statistics, but unlike the other methods of data collection, sampling involves choosing a method of sampling which further influences the data that you will result with. There are two major categories in sampling: probability and non-probability sampling.
Two types of Sampling techniques
Probability Sampling
Under probability sampling, for