Podcast
Questions and Answers
Which one of the following is NOT a method of collecting primary data?
Which one of the following is NOT a method of collecting primary data?
What is the concept of sampling?
What is the concept of sampling?
Which method of sampling involves selecting a sample without replacement?
Which method of sampling involves selecting a sample without replacement?
Which method is used to estimate the population mean and total in stratified random sampling?
Which method is used to estimate the population mean and total in stratified random sampling?
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What are the fundamental principles of a design in the context of design of experiments?
What are the fundamental principles of a design in the context of design of experiments?
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Which design involves dividing the experimental units into homogeneous blocks before assigning treatments?
Which design involves dividing the experimental units into homogeneous blocks before assigning treatments?
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Study Notes
Methods of Collecting Primary Data
- Experiment, Survey, Observation, and Case Study are methods of collecting primary data.
- Interview is not mentioned, but it is also a method of collecting primary data.
Sampling Concept
- Sampling is a process of selecting a subset of units, called sample, from a larger population, called universe.
Sampling Methods
- Without replacement sampling method involves selecting a sample where each element is not replaced after selection, also known as Non-Random Sampling or Systematic Sampling.
- Other sampling methods include Random Sampling, Stratified Random Sampling, Cluster Sampling, and Probability Proportional to Size Sampling.
Stratified Random Sampling
- In Stratified Random Sampling, the population is divided into smaller groups, called strata, based on common characteristics.
- Ratio Estimator is used to estimate the population mean and total in Stratified Random Sampling.
Design of Experiments
- The fundamental principles of a design in the context of design of experiments include Replication, Randomization, and Local Control.
- Replication ensures reliability of results, Randomization minimizes bias, and Local Control reduces experimental errors.
Design of Experiments (continued)
- The design that involves dividing the experimental units into homogeneous blocks before assigning treatments is called Randomized Block Design (RBD).
- RBD is used to reduce the experimental error and increase the precision of results.
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Description
Test your knowledge on data collection and scrutiny with this quiz! From designing questionnaires and schedules to checking consistency, this quiz covers primary and secondary data, government publications, enumeration methods, experiments, observational studies, and sample surveys. You'll also learn about scrutinizing data for internal consistency, detecting recording errors, and cross validation. Put your data skills to the test and see how well you know these concepts!