Which of the following is an example of secondary data?

Which of the following is an example of secondary data?

Explanation: Your company collects and analyzes data from the U.S. census is an example of secondary data. Secondary data is data collected by others for some different purpose but it is used by the researcher for a different purpose.

What are the types of secondary data sources?

There are two common types of secondary data: Internal data and External data. Internal data is the information that has been stored or organized by the organization itself. External data is the data organized or collected by someone else.

What are the two major sources of secondary data?

Common sources of secondary data for social science include censuses, information collected by government departments, organizational records and data that was originally collected for other research purposes. Primary data, by contrast, are collected by the investigator conducting the research.

What are the sources of primary and secondary data?

Primary data sources include; Surveys, observations, experiments, questionnaires, focus groups, interviews, etc., while secondary data sources include; books, journals, articles, web pages, blogs, etc. These sources vary explicitly and there is no intersection between the primary and secondary data sources.

What are secondary datasets?

Some tips on locating data sources. Secondary data is data that a researcher has not collected or created themselves. Secondary data can encompass an enormous range of highly original and extensive studies, including some of the largest and most careful collections of data.

What are the precautions for secondary data?

Precautions to be Taken while Using Secondary Data

  • Suitable purpose of investigation.
  • Inadequate data.
  • Definition of units.
  • Degree of accuracy.
  • Time and condition of collection of facts.
  • Homogeneous conditions.
  • Comparison.

What are the main sources of secondary data What precautions should you observed in making use of secondary data?

What are the Precautions you must take while using Secondary Data…

  • Suitable Purpose of Investigation: ADVERTISEMENTS:
  • Inadequate Data:
  • Definition of Units:
  • Degree of Accuracy:
  • Time and Condition of Collection of Facts:
  • Comparison:
  • Test Checking:
  • Homogeneous Conditions:

What are the main sources of error in the collection of data?

The main sources of error in the collection of data are as follows :

  • Due to direct personal interview.
  • Due to indirect oral interviews.
  • Information from correspondents may be misleading.
  • Mailed questionnaire may not be properly answered.
  • Schedules sent through enumerators, may give wrong information.

What type of error do you envisage in the collection of data?

Answer: The main sources of error in the collection of data are as follows : 1. Due to direct personal interview.

What are the types of errors in data collection?

An introduction to measuring sampling error and the effects of non-sampling error is provided in the following sections.

  • Sampling Error.
  • Factors Affecting Sampling Error.
  • Standard Error.
  • Variance.
  • Relative Standard Error.
  • Confidence Interval.
  • NON-SAMPLING ERROR.

What is the process of eliminating errors?

Strategies for reducing human error

  1. The three-step process helps in the following:-
  2. 5.1 Addressing human error in the design process.
  3. Eliminate Error Occurrence.
  4. Reduce Error Occurrence.
  5. Eliminate Error Consequence.
  6. Reduce Error Consequence.
  7. 5.2 Assess the impact of the design and track operational performance.

What is the most important error in research?

1. Researcher Bias. The most important error that creeps into surveys about isn’t statistical at all and is not measurable. The viewpoint of the researcher has a way of creeping into question design and analysis.

What are the different types of error?

Errors are normally classified in three categories: systematic errors, random errors, and blunders. Systematic errors are due to identified causes and can, in principle, be eliminated. Errors of this type result in measured values that are consistently too high or consistently too low.

Which type of error Cannot be eliminated?

Experimental errors, on the other hand, are inherent in the measurement process and cannot be eliminated simply by repeating the experiment no matter how carefully. There are two types of experimental errors: systematic errors and random errors.

What are the two main categories in which errors can be classified?

Classification of errors

  • Error of omission. The failure of the accountant to record a transaction or an item in the books of accounts is known as an error of omission.
  • Error of commission. When a transaction is incorrectly recorded, it is known as error of commission.
  • Error of principle.
  • Compensating errors.

What are examples of random errors?

Typically, random error affects the last significant digit of a measurement. The main reasons for random error are limitations of instruments, environmental factors, and slight variations in procedure. For example: When weighing yourself on a scale, you position yourself slightly differently each time.

What are the possible sources of error in titration?

Several factors can cause errors in titration findings, including misreading volumes, mistaken concentration values or faulty technique. Care must be taken as the solution of the known concentration is introduced into a specific volume of the unknown through laboratory glassware such as a burette or pipette.

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