Systematic Random Sampling Procedures and Examples

Definition and Principles of Systematic Random Sampling

  • Systematic Random Sampling: A probability sampling technique where elements are selected from an ordered arrangement of a population by choosing a random starting point within the first KK individuals and then picking every KthK^{\text{th}} individual thereafter.
  • Sequential Ordered Structure: The target population must be organized in an explicit, ordered sequence (such as numerical ID order, time of exit, or line sequence) prior to sample selection.
  • Role of Randomness:
    • Only the very first individual is chosen at random from the initial group of size KK.
    • Once the first individual is selected, all remaining elements of the sample are deterministic and fixed.
  • Interval Selection (KK): The step size KK is determined prior to sampling and can be customized based on sample size requirements (e.g., every 20th20^{\text{th}}, 30th30^{\text{th}}, or 50th50^{\text{th}} individual).

Detailed Examples and Mathematical Calculations

  • Polling Place Exit Example:

    • Context: An interviewer conducts a systematic sample of voters leaving a polling place.
    • Sampling Interval: K=20K = 20.
    • Procedure: The interviewer randomly selects one voter from the first 2020 voters who exit, and then proceeds to interview every 20th20^{\text{th}} voter who leaves after that initial selection.
  • Grouped Interval Example (K=50K = 50 across 200200 Individuals):

    • Ordered Population Setup: A population of 200200 individuals is partitioned into sequential sub-groups of 5050:
    • Group 1: Individuals numbered 11 to 5050
    • Group 2: Individuals numbered 5151 to 100100
    • Group 3: Individuals numbered 101101 to 150150
    • Group 4: Individuals numbered 151151 to 200200
    • Scenario 1 (Random Start = 2020):
    • Initial random selection from Group 1 (numbers 11 to 5050): 2020
    • 1st1^{\text{st}} sample choice: 2020
    • 2nd2^{\text{nd}} sample choice: 20+50=7020 + 50 = 70 (from Group 2)
    • 3rd3^{\text{rd}} sample choice: 70+50=12070 + 50 = 120 (from Group 3)
    • 4th4^{\text{th}} sample choice: 120+50=170120 + 50 = 170 (from Group 4)
    • Scenario 2 (Random Start = 1515):
    • Initial random selection from Group 1 (numbers 11 to 5050): 1515
    • 1st1^{\text{st}} sample choice: 1515
    • 2nd2^{\text{nd}} sample choice: 15+50=6515 + 50 = 65 (from Group 2)
    • 3rd3^{\text{rd}} sample choice: 65+50=11565 + 50 = 115 (from Group 3)
    • 4th4^{\text{th}} sample choice: 115+50=165115 + 50 = 165 (from Group 4)

Coursework Review and Upcoming Topics

  • Section 1.4 Assessment Tasks:
    • Completion of Checkpoints for Section 1.41.4
    • Completion of Reading Quiz 44 for Section 1.41.4
  • Platform: Achieve platform
  • Allocated Duration: 2020 to 30 minutes30\text{ minutes}
  • Subsequent Content: Transition to Section 2.12.1 and Section 2.22.2 following the completion of Section 1.41.4 assessment activities.