D2.Soc.4.9-12: How Sociological Analysis Informs Decisions with Data
In plain English: D2.Soc.4.9-12 is the C3 Framework sociology indicator for grades 9-12 that asks students to illustrate how sociological analysis can provide useful data-based information for decision making. Students trace how data on groups, compared and checked for error, can guide decisions by schools, cities and agencies, and why data inform a decision without making it.
Illustrate how sociological analysis can provide useful data-based information for decision making.
C3 Framework for Social Studies (NCSS) · Dimension 2: Applying Disciplinary Concepts and Tools · Discipline: Sociology · The Sociological Perspective and Methods of Inquiry · Official standard
D2.Soc.4.9-12 asks students to illustrate how sociological analysis can provide useful data-based information for decision making. Sociological analysis here means collecting evidence about groups, comparing them and looking for patterns, then checking how reliable the evidence is. Decision-makers such as school boards, city agencies and community groups use that information to choose among options. The lesson stresses two limits: data are only as good as the way they were gathered, and data inform a decision without making it, because costs and values also matter.
The lesson uses three sources. W. E. B. Du Bois's The Philadelphia Negro (1899), an early American sociological study, explains why he gathered data house by house and how he hoped it would guide "all efforts toward the solution" of the problems he found (Source 1). A U.S. Census Bureau page explains how commuting data from the American Community Survey are used for planning (Source 2). An invented case asks whether a school should add a late bus, with a weak online poll and a random sample to compare (Source 3). Students order the steps from question to decision, compare the two polls and write a data brief. All planning is on paper only.
Learning Objectives
By the end of this lesson, students will be able to:
Illustrate, with a historical and a current example, how sociological data have informed decisions
Describe the steps from a decision question to data-based information: question, data on groups, analysis, limits, options
Compute rates by group from sample data and use them to estimate how many people an option would serve
Judge the quality of data, telling a random sample from a self-selected poll and noting small samples
Explain why data inform but do not make a decision, naming the costs and values a decision-maker must still weigh
Prior Knowledge Required
Students should already be comfortable with:
The sociological perspective and its focus on groups and patterns D2.Soc.1.9-12
"Your school can afford one new after-school activity. How would you find out which one to choose? What information would you want, and from whom?"
List the answers. Some will rely on loud voices ("ask my friends," "post a poll") and some on careful evidence ("ask a sample of every grade," "check sign-up records"). Tell students that sociologists try to give decision-makers the second kind of information, and that today they will see how, and where it can go wrong.
Direct Instruction20 minutes
From data to decision. The table shows five steps by which sociological analysis turns evidence into useful information. The steps and the late-bus examples are written for this page. A random sample is a group chosen by chance from a full list, so that everyone on the list has a known chance of being picked. A self-selected poll is answered by whoever chooses to respond, so it may overrepresent people with strong views. A rate is a count divided by the size of its group, which lets groups of different sizes be compared.
Five steps from a decision question to data-based information (written for this page)
Step
What it involves
Late-bus example
1. Ask a decision question
What does the decision-maker need to know?
Which neighborhoods would use a late bus?
2. Gather data on groups
Counts and answers from a sample or records, broken down by group
A random sample of students, by distance zone
3. Analyze patterns
Rates, comparisons between groups, changes over time
Share who would ride, zone by zone
4. Check the limits
Who is missing, how large the sample is, what could bias the answers
A self-selected online poll; a small far-zone sample
5. Inform the decision
Options, who each one serves, what the data cannot settle
Serve the far zone first; cost and fairness are for the board
Reading 1. W. E. B. Du Bois (1868-1963), then an assistant in sociology at the University of Pennsylvania, spent fifteen months in 1896 and 1897 surveying Philadelphia's Black community, beginning house by house in the city's Seventh Ward. His study was published in 1899. He uses the word "Negro," the common term of his time, and explains in a footnote that he capitalizes it "because I believe that eight million Americans are entitled to a capital letter." Today the usual terms are Black and African American. Vitiate means weaken or spoil, and an induction is a general conclusion drawn from particular cases.
11. General Aim.—This study seeks to present the results of an inquiry undertaken by the University of Pennsylvania into the condition of the forty thousand or more people of Negro blood now living in the city of Philadelphia. This inquiry extended over a period of fifteen months and sought to ascertain something of the geographical distribution of this race, their occupations and daily life, their homes, their organizations, and, above all, their relation to their million white fellow-citizens. The final design of the work is to lay before the public such a body of information as may be a safe guide for all efforts toward the solution of the many Negro problems of a great American city.
22. The Methods of Inquiry.—The investigation began August the first, 1896, and, saving two months, continued until December the thirty-first, 1897. The work commenced with a house-to-house canvass of the Seventh Ward. [...] It was therefore thought best to make an intensive study of conditions in this district, and afterward to supplement and correct this information by general observation and inquiry in other parts of the city.
[...]
3In a house-to-house investigation there are, outside the attitude of the investigator, many sources of error: misapprehension, vagueness and forgetfulness, and deliberate deception on the part of the persons questioned, greatly vitiate the value of the answers; on the other hand, conclusions formed by the best trained and most conscientious students on the basis of general observation and inquiry are really inductions from but a few of the multitudinous facts of social life, and these may easily fall far short of being essential or typical.
4The use of both of these methods which has been attempted in this study may perhaps have corrected to some extent the errors of each. [...]
5Despite all drawbacks and difficulties, however, the main results of the inquiry seem credible. They agree, to a large extent, with general public opinion, and in other respects they seem either logically explicable or in accord with historical precedents. They are therefore presented to the public, not as complete and without error, but as possessing on the whole enough reliable matter to serve as the scientific basis of further study, and of practical reform.
[...]
6There is no doubt that in Philadelphia the centre and kernel of the Negro problem so far as the white people are concerned is the narrow opportunities afforded Negroes for earning a decent living. Such discrimination is morally wrong, politically dangerous, industrially wasteful, and socially silly.
W. E. B. Du Bois, Source 1: Du Bois explains the aim, methods and limits of his Philadelphia study (1899) (1899). Public domain (published 1899). Source text.
Data meant for decisions: Source 1, paragraph 1
What did Du Bois say his information was for, and who would use it?
Result: "The final design of the work is to lay before the public such a body of information as may be a safe guide for all efforts toward the solution" of the city's problems. The users are the public and anyone working on those problems: the study aims to inform their decisions, not to make them.
Two methods correcting each other: Source 1, paragraphs 2-4
Du Bois combined a house-to-house canvass with general observation and inquiry. Why use both?
Result: Each method has its own errors. The canvass is weakened by people's "misapprehension, vagueness and forgetfulness" and sometimes "deliberate deception"; general observation draws conclusions from "but a few" facts that may not be "typical." Using both "may perhaps have corrected to some extent the errors of each."
Applying a rate to a population (invented data)
In the late-bus sample, 21 of the 30 far-zone students said they would ride. The far zone has 300 students. Estimate how many far-zone students would ride.
Result: 21 / 30 = 0.70, or 70 percent. 0.70 x 300 = 210 students. Because the sample is small, the true number could be well above or below 210; the estimate is a guide, not a count.
Data inform, people decide (invented example)
Suppose data show that a proposed teen center would be used by more students if built downtown, but students in an outlying neighborhood have no other center. What can the data settle, and what can they not?
Result: The data can show which location would serve more people and which groups would be left out. They cannot settle whether to serve the most people or the people with the fewest options; that is a question of values for the decision-makers.
Reading 2. Source 2, from the U.S. Census Bureau, explains why the American Community Survey, a large federal survey, asks people about their trip to work, and who uses the answers. Read it for the decisions the data inform.
1We ask questions about where people work, how they get there, when they leave home, and how long it takes, to create statistics about commuting, or a person's journey to work.
2Commuting patterns and characteristics are crucial to planning for improvements to road and highway infrastructure, developing transportation plans and services, and understanding where people are traveling in the course of a normal day.
[...]
3Local, state, and federal transportation agencies use these statistics to plan programs and services for disabled populations, bicycle commuters, carpools and ride shares. These agencies conduct long-range planning for transportation that rely on travel demand forecasting models. The federal Department of Transportation (DOT) need these statistics to ensure compliance with various regulations, to understand current uses, and forecast future transportation needs throughout the nation.
4Understanding commuting patterns and where people work also helps with: Employment planning. Protection against employment discrimination. Defining banking and housing markets. Planning emergency response, etc.
[...]
5Researchers use these estimates to study the effects of long commutes on health (obesity, hypertension, etc.), and on the environment (emissions, contaminants, etc.).
U.S. Census Bureau, Source 2: U.S. Census Bureau, why the American Community Survey asks about commuting (2025). US government work (17 U.S.C. 105). Source text.
Guided Practice15 minutes
Read Source 3 together. It is an invented case with invented data, written for this page.
1Invented case with invented data, written for this page. Lakeview High School has 1,200 students. Many of them stay after school for clubs, tutoring and sports, but the last bus leaves at 3:30 p.m. The school board is deciding whether to pay for a late bus that would leave at 5:15 p.m. on weekdays, and which neighborhoods it should serve.
2Two kinds of information reached the board. First, a poll posted on the school's social media page asked, "Would you use a late bus?" It drew 64 responses, and 52 of them said yes. Anyone who saw the post could answer, and some people may have answered more than once.
3Second, a sociology class, with the principal's approval, drew a random sample of 120 students from the enrollment list, 10 percent of each distance zone, and every student in the sample answered. The class asked whether each student would ride a 5:15 bus on at least two days a week. The results by distance from school are in the table that follows this case.
4The class's report to the board ended: "Students who live farther away are much more likely to say they would ride. The far zone has the fewest other ways home, but our sample from that zone is small. A late bus that serves the far zone first would reach the students most likely to use it. The board will also have to weigh the cost, which our survey did not measure."
SVHS (invented scenario), Source 3: Should Lakeview High add a late bus? (invented case with invented data) (2026). Original passage written for this page.
Table 2 gives the sociology class's results (invented data). Every zone was sampled at the same 10 percent rate.
Table 2. Late-bus survey results by distance zone (invented data)
Distance zone
Students in school
Students sampled
Would ride 2+ days a week
Within 1 mile
400
40
6
1 to 3 miles
500
50
18
More than 3 miles
300
30
21
Total
1,200
120
45
Rates. Compute the percent who would ride in each zone. Which zone stands out?
Weak data. List two reasons the social media poll in paragraph 2 is weaker evidence than the random sample. Flag: the far-zone result rests on only 30 students, so treat it as a rough guide.
Margin of error. For a random sample, a rough 95 percent margin of error for a sample percent p from n people is 1.96 x the square root of p(1 - p)/n. For the far zone, p = 0.70 and n = 30, so the margin is about 1.96 x 0.084, or about 16 percentage points. Say in words what that means.
What is missing. Name one piece of information the board needs that the survey did not collect.
Diagram 1 shows the zone results with their sample sizes.
Independent Practice15 minutes
Students reread Source 2 and mark each sentence that names a decision or a decision-maker. Then they begin the homework (Problems 1-3), using Diagram 2 as a guide.
Closure5-10 minutes
Exit ticket: "Give one example of a decision that sociological data could inform. Name the data you would want, one way the data could be weak, and one thing the data could not decide."
Teacher notes. (1) Source 1 uses the terms of 1899, including "Negro" and "people of Negro blood"; explain them as historical usage and use Black or African American in discussion. The study documents discrimination plainly; the final paragraph of the excerpt is Du Bois's own conclusion from chapter XVIII, and that long chapter also contains period language and judgments that are not used here. (2) Keep discussion of Du Bois's findings at the level of groups and conditions in 1899 Philadelphia, never as claims about individuals. (3) Source 3 and every number in Table 2 and Diagram 1 are invented, and students analyze them on paper only; they do not survey anyone. (4) Source 2 is a current federal web page; its examples of uses are the Census Bureau's own.
Differentiation Strategies
For Struggling Students
Give the five-step table as cards and have students match each sentence of Source 3 to a step
Pre-compute one zone's rate as a model, and give a fill-in chart for the other two
Provide a sentence frame: "The data show ___. They could help the board decide ___, but they cannot decide ___ because ___."
For Advanced Students
Compute the 95 percent margin of error for each zone and for the whole sample, and explain why the whole-sample figure is more certain
Read the list of schedules Du Bois used in the omitted part of chapter I (source file) and design, on paper, a short schedule for the late-bus question
Find another "Why We Ask" topic on the Census Bureau site and summarize the decisions its data inform
Assessment Guidance
What to Look For
Strong answers name a specific decision and decision-maker, the data on groups that would inform it, the analysis (rates, comparisons, trends), at least one limit of the data, and what the data cannot settle. They support claims with quotations or correct computations. Watch for students who trust a large self-selected poll over a smaller random sample, who report counts when groups differ in size, who treat an estimate from a small sample as exact, or who say the data "prove" what the decision should be.
02
Classroom Activities
3 Activities
1
From Question to Decision: Ordering the Steps
10 minPairs
Pairs get six shuffled cards from an invented case about a town library deciding whether to open on Sunday afternoons. They put the cards in order, label each with a step from the five-step table (one step has two cards), and say which card is the weakest link.
The 6 Cards (invented, shuffled)
The analysts note that the sample left out people who never visit the library at all.
The library board asks: would Sunday hours serve people who cannot come on weekdays?
Analysts find that 40 percent of weekend visitors work weekday hours, against 15 percent of weekday visitors.
Staff record, for four weeks, when each visitor comes and, on a short card, whether they work on weekdays.
The analysts report two options, Sunday hours or longer Saturday hours, and who each would serve.
The board weighs the cost of staff on Sundays against the value of reaching weekday workers, and votes.
Answer Key
Order: B (step 1, question), D (step 2, data), C (step 3, analysis), A (step 4, limits), E (step 5, informing the decision), F (the decision itself, made by the board, not by the data). The weakest link is A: people who never visit are missing, yet they might come on Sundays.
2
Two Polls, One Decision
20 minGroups of 3
Groups compare the two kinds of information in Source 3 and decide which the board should rely on, then use the sample to estimate how many students a far-zone bus would serve.
Tasks
Compute the share who said yes in the social media poll and in the random sample as a whole.
Explain why the two shares differ so much. Use the words "self-selected" and "random sample."
Using the far-zone rate, estimate how many far-zone students would ride (Direct Instruction shows the method). If a bus holds 60 students, how many buses would the far zone need on a day when all of those students ride?
Write one sentence the board could safely say, and one sentence it should not say, based on these data.
Answer Key
Poll: 52 of 64, about 81 percent. Sample: 45 of 120, 37.5 percent. The poll drew people who chose to answer, likely those who want the bus, and possibly some more than once; the sample gave every student a known chance. Far zone: 0.70 x 300 = 210 students; 210 / 60 = 3.5, so 4 buses on a day when all of them ride. Safe: "Students in the far zone are much more likely than others to say they would ride." Unsafe: "81 percent of students want a late bus."
3
Data Brief Workshop
15 minGroups of 3, then peer review
Each group writes a one-page data brief, on paper, for an invented decision, then trades briefs with another group and reviews it with a checklist. Students use only the invented numbers given; they do not collect data.
The Invented Decision
A city must choose where to add bike racks: at the high school, at the public library or at the train station. Invented counts of bikes locked to fences and poles on four weekday mornings: high school 18, 22, 25, 19; library 6, 9, 5, 8; train station 31, 27, 35, 29.
Brief Checklist
States the decision question
Reports the data with a summary number for each place
Names at least one limit, such as weekday mornings only
Lists options and who each serves
Says what the data cannot decide
Answer Key for the Numbers
Means per morning: high school 84 / 4 = 21, library 28 / 4 = 7, train station 122 / 4 = 30.5. The station has the most bikes locked without racks on these mornings; weekend and evening use were not counted.
03
Diagrams & Visual Aids
2 diagrams
Diagram 1: Late-Bus Survey Results by Zone (Invented Data)
Drawn to scale from Table 2 (invented data). The sample sizes are printed under each zone: the far-zone bar rests on only 30 students, so it is the least certain. The social media poll is not shown because it is not a random sample.
Diagram 2: From Data to Decision
Drawn for this page. Sociological analysis supplies the question, the data on groups, the patterns, the limits and the options; the decision itself belongs to the people responsible, who must also weigh costs and values.
04
Homework Assignment
~30 min
Homework: Turning Data into Useful Information
Directions: Sources 1 and 2 are printed in Direct Instruction, and Source 3 and Table 2 in Guided Practice. Quote every source you use with its paragraph number, and show your work. Problem 5 asks you to plan on paper only: do not survey or interview anyone.
Part 1: Working with the Data (Problems 1-3)
Using Table 2, estimate how many students who live within 1 mile would ride the late bus. A bus holds 60 students. On a day when all of those students ride, how full would one bus serving only that zone be? Give one reason the board might still not choose that zone first.
Using the margin-of-error rule in Guided Practice, find the rough 95 percent margin of error for the whole sample (p = 0.375, n = 120). Compare it with the far zone's margin of about 16 points and explain why they differ.
Source 1, paragraph 3 names errors that come from the people questioned and errors that come from relying on general observation. Give one example of each kind that could affect the late-bus information in Source 3.
Part 2: Illustrating Decisions (Problems 4-6)
Source 2 says commuting statistics are used for transportation planning. Describe two groups of commuters whose needs could differ, and explain how comparing their data could change a transportation plan.
On paper only, plan how a sociologist could give an invented school useful information for deciding whether to lengthen its lunch period. Follow the five steps in the Direct Instruction table and name one limit of your plan.
In Source 1, paragraph 6, Du Bois moves from his study of Philadelphia to a judgment. Explain how that paragraph illustrates the use of data for decision making, and name one more kind of information a city would need before acting.
Rubric
Criterion
Full Credit (2 pts)
Partial Credit (1 pt)
No Credit (0 pts)
Data and computation
Problems 1-2 are computed correctly with work shown and interpreted in context
One error or no interpretation
Several errors
Decision link
Each example names a decision-maker, a decision and the groups compared
Decision or groups vague
No link to a decision
Limits
Names specific limits of the data (who is missing, sample size, bias) and their effect
Limits named without their effect
No limits
Evidence and judgment
Quotations carry paragraph numbers; separates what data show from what people must decide
One claim unsupported, or data said to decide
No evidence
05
Quiz: 20 Questions
Interactive, with answers
Instructions
Sources 1 and 2 are printed in Direct Instruction, and Source 3 and Table 2 in Guided Practice. Source 1 is used in Questions 1-5, 15, 18 and 20; Source 2 in Questions 6-9 and 16; and Source 3 and Table 2 in Questions 11-14, 17, 18 and 20. Questions 10 and 19 use new invented examples. Questions 1-14 are multiple choice; 15-20 are short answer.
Multiple choice: pick an option to check it. Short answer: write your answer, then reveal the model answer.
0 of 20 answered · 0 correct
Question 1 of 20 · Multiple Choice
According to Source 1, paragraph 1, what did Du Bois's inquiry seek to learn "above all"?
Answer: A
The inquiry sought to learn about "the geographical distribution of this race, their occupations and daily life, their homes, their organizations, and, above all, their relation to their million white fellow-citizens." The University of Pennsylvania undertook the inquiry, so B confuses the sponsor with the subject.
Question 2 of 20 · Multiple Choice
In Source 1, paragraph 5, why does Du Bois say the main results "seem credible"?
Answer: D
"They agree, to a large extent, with general public opinion, and in other respects they seem either logically explicable or in accord with historical precedents." A is not his claim: he admits many "sources of error" in the answers. C describes the method in Source 3, not Du Bois's canvass.
Question 3 of 20 · Multiple Choice
According to Source 1, paragraph 5, how did Du Bois present his results to the public?
Answer: C
They were presented "not as complete and without error, but as possessing on the whole enough reliable matter to serve as the scientific basis of further study, and of practical reform." A is exactly what he denies.
Question 4 of 20 · Multiple Choice
In Source 1, paragraph 6, what does Du Bois identify as "the centre and kernel" of the problem so far as white Philadelphians were concerned?
Answer: A
"The centre and kernel of the Negro problem so far as the white people are concerned is the narrow opportunities afforded Negroes for earning a decent living." The other options are not what this sentence names; the next sentence calls "Such discrimination" in employment "industrially wasteful."
Question 5 of 20 · Multiple Choice
Of the four judgments in Source 1, paragraph 6, which one points to an economic cost?
Answer: D
"Industrially wasteful" means it wastes workers' abilities and so harms the economy. A is a moral judgment, B a political one and C a social one.
Question 6 of 20 · Multiple Choice
Source 2, paragraph 1 lists four things the American Community Survey asks about commuting. Which is NOT one of them?
Answer: C
The survey asks "where people work, how they get there, when they leave home, and how long it takes." The cost of travel is not in the list.
Question 7 of 20 · Multiple Choice
According to Source 2, paragraph 3, transportation agencies use commuting statistics to plan programs and services for which groups?
Answer: A
Agencies "use these statistics to plan programs and services for disabled populations, bicycle commuters, carpools and ride shares." The other groups are not named on the page.
Question 8 of 20 · Multiple Choice
Which of these uses of commuting data does Source 2, paragraph 4 name?
Answer: D
Paragraph 4 lists "Employment planning. Protection against employment discrimination. Defining banking and housing markets. Planning emergency response." None of the other options appears.
Question 9 of 20 · Multiple Choice
According to Source 2, paragraph 5, what do researchers use commuting estimates to study?
Answer: C
"Researchers use these estimates to study the effects of long commutes on health (obesity, hypertension, etc.), and on the environment (emissions, contaminants, etc.)." D is a tempting guess from paragraph 3's "bicycle commuters," but ownership is not what the survey measures.
Question 10 of 20 · Multiple Choice
Invented: a city is deciding whether to run buses later in the evening. Which information would most directly inform the decision?
Answer: B
The decision is about who needs late buses and where, so data on groups of people who finish work late, by neighborhood, bear directly on it, much like the commuting data in Source 2. A is history of the fleet, C is unrelated and D raises privacy problems without informing the decision.
Question 11 of 20 · Multiple Choice
Using Table 2, estimate how many students in the 1 to 3 mile zone would ride the late bus at least twice a week.
Answer: D
18 / 50 = 0.36, and 0.36 x 500 = 180. A is the count in the sample, not the zone; B confuses the percent (36) with a number of students; C is the zone's whole population.
Question 12 of 20 · Multiple Choice
Using Table 2, about how many times as likely is a far-zone student as a student within 1 mile to say they would ride?
Answer: A
Compare rates: 21/30 = 70 percent and 6/40 = 15 percent, and 70/15 is about 4.7. B compares the counts (21/6 = 3.5), which ignores the different sample sizes. C compares the far zone with the whole sample (70/37.5), not with the near zone. D is the difference in percentage points (70 - 15), not a ratio.
Question 13 of 20 · Multiple Choice
Why can the whole-sample rate of 37.5 percent be used as an estimate for the whole school?
Answer: B
Sampling each zone at the same rate keeps the sample's mix of zones the same as the school's (40, 50 and 30 students match 400, 500 and 300), so the overall rate is not tilted toward one zone. A, C and D are all true, but none of them makes the sample's mix match the school's: a larger sample (C) can still be lopsided, as the self-selected poll shows.
Question 14 of 20 · Multiple Choice
Using the margin-of-error rule in Guided Practice, what is the rough 95 percent margin of error for the 1 to 3 mile zone (p = 0.36, n = 50)?
Answer: B
The square root of 0.36 x 0.64 / 50 is about 0.068, and 1.96 x 0.068 is about 0.133, or 13 points. A forgets to multiply by 1.96. C doubles the margin, giving the width of the whole interval. D reports the sample percent itself.
Question 15 of 20 · Short Answer
Using Source 1, explain how Du Bois meant his data to be used in making decisions, and name two limits of the data that he admitted.
Model answer: Du Bois wanted to give the public information that "may be a safe guide for all efforts toward the solution" of the city's problems (paragraph 1) and offered the results to the public for those efforts. He admitted errors from the people questioned, such as "vagueness and forgetfulness, and deliberate deception" (paragraph 3), and that general observation rests on "but a few" facts that may not be "typical" (paragraph 3). Rubric: the intended use with a quotation; two distinct limits with paragraph numbers.
Question 16 of 20 · Short Answer
Choose one decision named or implied in Source 2 and illustrate how commuting data could inform it. Name the decision-maker, the groups whose data would be compared, and one thing the data could not decide.
Model answer: Paragraph 2 says commuting patterns are "crucial to planning for improvements to road and highway infrastructure." A state transportation department deciding which highway to widen could compare counties by how many residents commute along each route, when they leave home and how long their trips take. The data can show where congestion affects the most commuters; they cannot decide whether widening a road is better than adding bus service, which depends on costs and values. Rubric: a decision-maker and decision; groups compared; a quotation; a limit on what data can settle.
Question 17 of 20 · Short Answer
The class's report (Source 3, paragraph 4) recommends a late bus that serves the far zone first. Evaluate the recommendation: what in Table 2 supports it, what caution applies, and what must the board still weigh?
Model answer: Support: the far zone has the highest rate, 21 of 30, or 70 percent, about 210 students, against 15 percent within 1 mile. Caution: the far-zone figure rests on only 30 students, so its margin of error is about 16 points; the true rate could be well below 70 percent, though it would still likely be the highest. The board must still weigh the cost, which the survey "did not measure," and whether to serve the students most likely to ride or every zone equally. Rubric: correct figures; a sample-size caution; cost and a value question named.
Question 18 of 20 · Short Answer
Du Bois combined a house-to-house canvass with general observation (Source 1, paragraphs 2-4). The Lakeview board received a social media poll and a random sample (Source 3). Compare the two situations: which errors does each kind of information risk?
Model answer: Du Bois's canvass risked errors from the people questioned, such as "misapprehension" and "deliberate deception," while general observation risked conclusions from too few facts. The Lakeview poll risks self-selection, since "Anyone who saw the post could answer," and repeat answers; the random sample avoids self-selection but is small in each zone. In both cases, combining sources or checking how data were gathered helps the decision-maker judge them. Rubric: one error for each kind of information; quotations from both sources; a conclusion about using more than one source.
Question 19 of 20 · Short Answer
Invented: a town must decide whether to keep its public pool open through September. On paper only, describe the data a sociologist could gather, the groups to compare and one limit, and say what the data would not decide.
Model answer: Data: daily pool entry counts for the last three Septembers and Augusts, by age group, and a random sample of households asked whether they would use the pool in September. Groups: families with young children, teenagers, older adults, and neighborhoods near and far from the pool. Limit: past Septembers may have had unusual weather, and people who never use the pool may not answer. The data would not decide whether the cost of staff is worth it; that is the town's judgment. Rubric: specific data; groups compared; one limit; the decision left to people.
Question 20 of 20 · Short Answer
A student says, "If the data are good enough, the decision makes itself." Evaluate this claim with evidence from Source 1 or Source 3.
Model answer: The claim is too strong. Good data narrow the choice: in Source 3 the random sample shows that far-zone students are most likely to ride. But the class itself says, "The board will also have to weigh the cost, which our survey did not measure," and the board must decide whether to serve the students most likely to ride or the zones with the fewest other ways home. Du Bois, too, offered his data as a "guide," not a decision. Data inform choices; people make them. Rubric: a clear position; a quotation; one value or cost the data cannot settle.
0 of 20 answered · 0 correct
06
Frequently Asked Questions
10 Questions
What does D2.Soc.4.9-12 mean?
D2.Soc.4.9-12 asks high school students to illustrate how sociological analysis can provide useful data-based information for decision making. Students show, with examples, how data on groups, carefully gathered and analyzed, can help schools, cities, agencies and community groups choose among options.
What counts as sociological analysis?
Gathering evidence about groups, through surveys, records or observation, then comparing groups, finding patterns and checking the evidence for errors. The aim is information that describes how a problem affects different groups, which a decision-maker can use.
What is an example of sociology informing a real decision?
The U.S. Census Bureau explains that commuting answers from the American Community Survey are "crucial to planning for improvements to road and highway infrastructure" and are used by transportation agencies to plan services. Historically, W. E. B. Du Bois's 1899 Philadelphia study was designed as "a safe guide" for efforts to address the problems it documented.
Is D2.Soc.4.9-12 the same as D2.Soc.5.9-12?
No. D2.Soc.5.9-12 asks students to compare the strengths and weaknesses of the main research methods. D2.Soc.4.9-12 is about the use of the results: how analysis turns data into information that helps someone decide. The two connect, because weak data give weak information.
Why is a random sample better than an online poll?
In a random sample, everyone on the list has a known chance of being chosen, so the sample tends to reflect the whole group. An online poll is answered by whoever chooses to respond, often people with strong views, and sometimes the same person more than once.
Do students need to know the margin-of-error formula?
Not for this indicator. The lesson uses a rough rule to show one idea: results from small samples are less certain. Teachers can skip the formula and keep the idea, or use it as an extension that connects to statistics courses.
Can data tell a school board what to do?
No. Data can show who an option would serve, how many and with what uncertainty. Choosing among options also means weighing costs and values, such as whether to serve the most people or the people with the fewest alternatives, which is the decision-makers' job.
Why use a study from 1899?
Du Bois's study is an early example of sociologists collecting data house by house so that the public could act on evidence, and he explained its methods and limits openly. Reading it shows that the questions of data quality and use in this lesson are as old as American sociology.
Will students collect their own data?
Not in this lesson. Students analyze invented data and plan studies on paper only. Collecting real data from people raises consent and privacy questions that need school approval.
How is D2.Soc.4.9-12 assessed?
Here, through quotation-based questions on Du Bois and the Census Bureau page, computations with the invented late-bus data, and short answers that evaluate a recommendation, compare kinds of data and separate what data show from what people must decide.
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Related Standards
5 standards
These standards connect to D2.Soc.4.9-12: prerequisites to review first, parallel standards at the same level, and next steps that build on it.
Before this lesson
D2.Soc.1.9-12Prerequisite
Explain the sociological perspective and how it differs from other social sciences
Give strengths and weaknesses of four main sociological research methods
Lesson coming soon
D4.7.9-12Extends to
Assess options for individual and collective action to address problems
Lesson coming soon
Standard text: National Council for the Social Studies (NCSS), The College, Career, and Civic Life (C3) Framework for Social Studies State Standards: Guidance for Enhancing the Rigor of K-12 Civics, Economics, Geography, and History (Silver Spring, MD: NCSS, 2013). NCSS was not involved in the production of this lesson and does not endorse it.
