Data Analysis
When you collect data for an analysis or a report, it is important to organize the information so that it is easy to read and work with. One way to organize data is in a chart or table.
During the first week of April, Mark recorded information about the weather in the city of Milton.
Monday: 43°F high temperature; 34°F low temperature; cloudy; 0.1 inches rain Tuesday: 55°F high temperature; 42°F low temperature; partly cloudy; no precipitation Wednesday: 59°F high temperature; 45°F low temperature; sunny; no precipitation Thursday: 62°F high temperature; 49°F low temperature; sunny; no precipitation Friday: 54°F high temperature; 44°F low temperature; partly cloudy; no precipitation Saturday: 52°F high temperature; 41°F low temperature; cloudy; 0.2 inches rain Sunday: 52°F high temperature; 43°F low temperature; cloudy; trace of rain If you organize this information in a weather chart, it will be easier to read and compare the data for different days.
A. Complete the weather chart. The data for Monday has already been included in the chart.
Monday Tuesday Wednesday Thursday Friday Saturday Sunday High Temperature
Low43°F 34°
Cloud Cover cloudy Precipitation 0.1 in.
rain
B. Use the data in the weather chart to answer the questions.
1. Which day had the greatest range of temperature?
2. Which day had the lowest temperature of the week? The highest?
3. What was the total rainfall for the week?
4. What was the percentage of sunny days for the week?
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