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:
- Framing this Activity for Students:
- It is helpful to remind students that this activity is exploratory. It helps keep the stakes low and increases engagement. Remind students that is ok to make mistakes and this activity...
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Learning Goals and Assessments
Learning Goal(s):
- 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. Students will be able to construct samples of two different sizes (n=5 and n=10) using Google Sheets spreadsheet functions.
- 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. Students will be able to evaluate how increasing sample size reduces sampling variability and supports generalizability.
Goal Assessment(s):
- 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. Whether students can independently construct a random sample of n=5 and n=10 using Google Sheets spreadsheet functions.
- 3. Whether students can calculate the mean of a set of sample means and the standard error of the mean using Google Sheets.
- 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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