Lesson 5

Life Spans

Est. Class Sessions: 1–2

Summarizing the Lesson

Use Questions 21–22 to summarize the lesson. Display the statements students have written about the two data sets from earlier in the lesson. Then organize students into small groups and ask them to discuss Questions 21–22. Ask each group to prepare a display to share their responses to the questions, “How did the life spans change” and “What do you think caused the changes?”

After each group is prepared, ask one of the groups to start the whole-class discussion by sharing their comparisons and explanation.

  • Did anyone have similar or the same observations and come to the same conclusions?
  • What information did you use to make that observation?
  • Does anyone have any other observations to add?
  • Does anyone have any other explanations to add?

Comparing these two data sets, students can say that many more people in the 1858 data set died as children and very few lived long lives. In general, the people in the 2014 data set lived longer lives.

As students discuss Question 22, they should think about possible reasons for the change in the life spans. Students should understand that in the 1800s, many children died. Of those who survived childhood, many died early in life because of poor living conditions and disease. In the 1900s, living conditions began to improve in the United States. Changes that have had significant impact on human life spans include increased use of window screens, accessibility to pure drinking water, treatment of raw sewage, access to medical care, and the development of antibiotics to treat infections.

Use the Life Spans pages in the Student Guide and the corresponding Feedback Box in the Teacher Guide to assess students' abilities to represent numbers to the hundredths using fractions and decimals [E1]; compare decimals to the hundredths using place value understanding and benchmarks [E3]; estimate sums involving decimals and fractions [E9]; use data tables and graphs to organize data involving decimals [10]; describe a data set by interpreting a data table, graph, and median [E11]; and use relationships and patterns in a data set to make claims and predictions [E12].

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