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Sociological Data in Action: Teaching Sampling Distributions and Their Properties in Any Sociology Course
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Keywords

sampling
sample
population
sampling distribution
standard error

How to Cite

Mireles, Amanda. 2025. “Sociological Data in Action: Teaching Sampling Distributions and Their Properties in Any Sociology Course”. TRAILS: Teaching Resources and Innovations Library for Sociology, August. Washington DC: American Sociological Association. https://trails.asanet.org/article/view/sociological-data-in-action-teaching.

Abstract

This class activity introduces students to the concept of sampling distributions through hands-on data analysis using free and accessible tools. Using a simplified dataset modeled on the General Social Survey (GSS) question about hours worked, students draw random samples of varying sizes, calculate sample means, and compare them to the...

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Details

Subject Area(s):
Capstone Courses, Economic Sociology, Education, Family, Quantitative Methodology, Race, Class and Gender, Statistics, Stratification/Mobility
Resource Type(s):
Class Activity
Class Level(s):
Any Level
Class Size(s):
Any

Usage Notes

Activity Notes and Instructor Tips: 


Learning Goals and Assessments

Learning Goal(s):

  1. 1. Students will be able to define key concepts: sample, population, sampling, sampling distribution, mean of the sampling distribution, and standard error of the mean.
  2. 2. Students will be able to construct samples of two different sizes (n=5 and n=10) using Google Sheets spreadsheet functions.
  3. 3. Students will be able to calculate the mean of sample means and compute the standard error of the mean using Google Sheets spreadsheet functions.
  4. 4. Students will be able to evaluate how increasing sample size reduces sampling variability and supports generalizability.

Goal Assessment(s):

  1. 1. How well students can define and distinguish between sample population, sampling, sampling distribution, mean of the sampling distribution, and standard error of the mean in their own words.
  2. 2. Whether students can independently construct a random sample of n=5 and n=10 using Google Sheets spreadsheet functions.
  3. 3. Whether students can calculate the mean of a set of sample means and the standard error of the mean using Google Sheets.
  4. 4. How well students can verbally or in writing compare the variability between sampling distributions of different sample sizes and explain of the impact of increasing sample size.

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