5 106 long passage reading stamina worksheet Worksheet

A headline about public art funding read, 'Incidents DOUBLE in one year!' and it spread quickly on QuickPost. In many reposts, only the headline and first sentence were visible. Early in the article, the writer stated that the town recorded 3 incidents last year and 6 incidents this year. The writer also included a bar chart. The bars were labeled with percent change, but the exact counts appeared only in small print under the chart. A second chart showed rates per 100,000 residents, but it did not explain how the town population was estimated. In the middle of the article, a short paragraph explained a complication: reporting rules changed in September. An incident that used to be logged under a different category is now counted in this category. The writer admitted that this makes year-to-year comparisons tricky, because the same real-world event might be counted differently across the two years. Later, the article compared the town to two neighboring towns. One neighbor recorded 9 incidents this year, and another recorded 1, but the article did not say whether those towns used the same reporting rules. A teacher commented online that comparing across towns is only meaningful if the categories and methods match. The article quoted an official who said the town should still pay attention because even a few incidents can be serious. The official argued that the goal is prevention, not panic. A different quote came from a resident who said, 'They are trying to scare us with math.' In the comments, readers argued past each other. Some insisted that any doubling proves a major trend. Others insisted that small numbers mean there is no problem. The teacher wrote, 'Two things can be true: the percent change can sound dramatic, and each incident can still matter. Good reporting shows both the counts and the context.' Liam is asked to write a response that evaluates whether the headline could mislead readers without claiming the issue is unimportant.

A student researcher in Oak Hollow noticed a pattern in a spreadsheet: on days with worse air-quality readings, the number of student absences was higher. The student collected 108 days of data, including the town's daily air-quality index (AQI) and the school's absence count. The student used a public AQI website and wrote down the number posted each morning. The student created a scatterplot and found that higher AQI values often lined up with higher absence totals. The student calculated a correlation and wrote a conclusion: 'Bad air causes students to miss school.' The student also wrote that the relationship seemed strongest in winter months. When the student presented the work, classmates asked questions. One asked whether the AQI reading represents the whole town or just one monitor. Another asked whether absences were counted the same way during exam weeks. The student admitted the dataset does not include where the AQI monitor is located and does not label days with special schedules. A mentor praised the careful data collection but asked the student to consider other variables that could explain the pattern. The mentor pointed out that winter is also the season when respiratory illnesses spread and when storms disrupt travel. The mentor asked whether the absence count included excused absences for illness, whether there were any school closures, and whether indoor air at the school matched outdoor readings. The mentor explained that two variables can move together because of a third factor. Before claiming causation, the student should test alternative explanations by adding other data columns (like illness reports, storm days, and temperature) and by checking whether the relationship still holds when those factors are considered. The mentor suggested comparing winter weeks with similar illness levels but different AQI, or comparing to another nearby school with similar illness timing. Priya is asked to pick the most important missing variable to investigate before claiming a cause-and-effect relationship.

Zoe is editing a draft news brief about student attendance. The brief is meant for readers who want a quick summary of what is known and what is debated. Zoe tries to be 'balanced,' but the editor reminds Zoe that balance is not the same as giving equal weight to unequal evidence. In the draft, Zoe includes these two sentences: 1) 'City records show a steady decline in complaints over three years after the policy change.' 2) 'Some people online say the complaints are still rising, so the real trend is unclear.' The editor points out that Sentence 1 cites a specific evidence source (city records) while Sentence 2 refers to vague online claims without data. The editor explains that readers may interpret Sentence 2 as meaning the documented records and the unverified posts cancel each other out. That would be misleading. The editor asks questions: Who are the 'people online'? Are they talking about official complaints, or are they talking about personal frustration? Do they cite any numbers? Could they be noticing a recent short-term spike even if the multi-year trend is down? Could the posts be about a different kind of complaint than what the city records track? The editor also warns about 'false balance': when a writer presents one well-supported claim and one unsupported claim as if they are equally strong. A careful brief can include disagreement, but it must explain what each side is based on and how strong that basis is. Zoe checks the posts being referenced. They include screenshots of comments and a few stories, but no links to complaint totals or dates. Some posts mention problems that sound like service issues, not the same category the city report measures. A few posts also repeat each other word-for-word, suggesting copying rather than new evidence. Zoe also notices the posts are from a recent week, while the city record trend covers three years. Zoe must choose a revision that acknowledges disagreement, keeps uncertainty in proportion to the evidence, and does not imply that unsupported claims erase documented records.