Basic Statistics · Unit 2
Data Collection and Sampling Methods
Exam-focused notes for Data Collection and Sampling Methods (Basic Statistics, STA154): what the TU syllabus asks and how it has actually been tested, with 3 solved past questions from this unit.
What this unit covers
- Census and sample surveys
- Sampling techniques and methods
- Stratified sampling
- Cluster sampling
- Sampling error and non-sampling error
- Sample size determination
Cluster sampling
Write a short note on the following: (a) Cluster sampling (b) Primary data [5+0+0]
Definition: Cluster sampling is a probability sampling technique in which the population is divided into groups or clusters, and a random sample of clusters is selected. All units within the selected clusters are then included in the sample. Key Characteris...
Full solved answer →Sampling error and non-sampling error
Write a short note on: (a) Sampling Error (b) Stratified sampling. [5]
Definition: Sampling error is the difference between a statistic (calculated from a sample) and the corresponding parameter (true value from the population). It occurs because a sample does not perfectly represent the entire population. Key Points: - Sampli...
Full solved answer →Describe sampling error and non-sampling error. [5]
Sampling error is the difference between a sample statistic and the corresponding population parameter, arising solely because a sample is used instead of the entire population. Characteristics: - Occurs due to random variation in the selection process - Pr...
Full solved answer →Make Unit 2 stick
Practice STA154 with flashcards & quizzes