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3. Some basic advice about graphing. a. Always use graph paper and a ruler. b. It is very important to label each axis properly and clearly indicate the units that are used (e.g., grams, centimeters). c. Graphs should fill most of the graph paper (avoid excess space around your graph by plotting dependent and independent variables across the length and width of the graph paper). d. Every graph needs a title. Table 1.4. Average Monthly Temperatures (°F) at Central Park in 1919 and 2019 (www.weather.gov) YEAR JAN FEB MAR APR MAY JUN JUL AUG 1919 35.6 34.9 43.3 50.0 62.0 70.9 75.1 71.1 2019 32.5 36.2 41.7 55.5 62.2 71.7 SEP OCT NOV DEC 67.6 59.2 45.2 79.6 75.5 70.4 59.9 43.9 30.2 38.3 Independent variable: M Dependent variable: months /year Which is the best type of graph to represent this data? line graph Table 1.5. New Cases of Diagnosed Diabetes among U.S. Adults Aged 18-79 Years, 1980- 2008 (in thousands of cases) https://www.cdc.gov/diabetes/library/reports/reportcard/ incidence-2017.html 1980 1984 1988 1992 1996 2000 2004 2008 New diabetes cases (thousands) 493 611 635 682 799 1,104 1,403 1,728 Independent variable: Dependent variable: Which is the best type of graph to represent this data? Table 1.6. National Per Capita CO2 Emissions for 2018 (https://data.worldbank.org/indicator/ EN.ATM.CO2E.PC) CO₂ emissions Brazil Canada China France India Japan Mexico Nigeria Russia U.S. per person 2.4 16.1 8 5 1.9 9.4 3.8 0.6 12.1 16.1 (metric tons) Independent variable: Dependent variable: Which is the best type of graph to represent this data?

3. Some basic advice about graphing. a. Always use graph paper and a ruler. b. It is very important to label each axis properly and clearly indicate the units that are used (e.g., grams, centimeters). c. Graphs should fill most of the graph paper (avoid excess space around your graph by plotting dependent and independent variables across the length and width of the graph paper). d. Every graph needs a title. Table 1.4. Average Monthly Temperatures (°F) at Central Park in 1919 and 2019 (www.weather.gov) YEAR JAN FEB MAR APR MAY JUN JUL AUG 1919 35.6 34.9 43.3 50.0 62.0 70.9 75.1 71.1 2019 32.5 36.2 41.7 55.5 62.2 71.7 SEP OCT NOV DEC 67.6 59.2 45.2 79.6 75.5 70.4 59.9 43.9 30.2 38.3 Independent variable: M Dependent variable: months /year Which is the best type of graph to represent this data? line graph Table 1.5. New Cases of Diagnosed Diabetes among U.S. Adults Aged 18-79 Years, 1980- 2008 (in thousands of cases) https://www.cdc.gov/diabetes/library/reports/reportcard/ incidence-2017.html 1980 1984 1988 1992 1996 2000 2004 2008 New diabetes cases (thousands) 493 611 635 682 799 1,104 1,403 1,728 Independent variable: Dependent variable: Which is the best type of graph to represent this data? Table 1.6. National Per Capita CO2 Emissions for 2018 (https://data.worldbank.org/indicator/ EN.ATM.CO2E.PC) CO₂ emissions Brazil Canada China France India Japan Mexico Nigeria Russia U.S. per person 2.4 16.1 8 5 1.9 9.4 3.8 0.6 12.1 16.1 (metric tons) Independent variable: Dependent variable: Which is the best type of graph to represent this data?

Human Anatomy & Physiology (11th Edition)
Human Anatomy & Physiology (11th Edition)
11th Edition
ISBN:9780134580999
Author:Elaine N. Marieb, Katja N. Hoehn
Publisher:Elaine N. Marieb, Katja N. Hoehn
Chapter1: The Human Body: An Orientation
Section: Chapter Questions
Problem 1RQ: The correct sequence of levels forming the structural hierarchy is A. (a) organ, organ system,...
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3. Some basic advice about graphing. a. Always use graph paper and a ruler. b. It is very important to label each axis properly and clearly indicate the units that are used (e.g., grams, centimeters). c. Graphs should fill most of the graph paper (avoid excess space around your graph by plotting dependent and independent variables across the length and width of the graph paper). d. Every graph needs a title. Table 1.4. Average Monthly Temperatures (°F) at Central Park in 1919 and 2019 (www.weather.gov) YEAR JAN FEB MAR APR MAY JUN JUL AUG 1919 35.6 34.9 43.3 50.0 62.0 70.9 75.1 71.1 2019 32.5 36.2 41.7 55.5 62.2 71.7 SEP OCT NOV DEC 67.6 59.2 45.2 79.6 75.5 70.4 59.9 43.9 30.2 38.3 Independent variable: M Dependent variable: months /year Which is the best type of graph to represent this data? line graph Table 1.5. New Cases of Diagnosed Diabetes among U.S. Adults Aged 18-79 Years, 1980- 2008 (in thousands of cases) https://www.cdc.gov/diabetes/library/reports/reportcard/ incidence-2017.html 1980 1984 1988 1992 1996 2000 2004 2008 New diabetes cases (thousands) 493 611 635 682 799 1,104 1,403 1,728 Independent variable: Dependent variable: Which is the best type of graph to represent this data? Table 1.6. National Per Capita CO2 Emissions for 2018 (https://data.worldbank.org/indicator/ EN.ATM.CO2E.PC) CO₂ emissions Brazil Canada China France India Japan Mexico Nigeria Russia U.S. per person 2.4 16.1 8 5 1.9 9.4 3.8 0.6 12.1 16.1 (metric tons) Independent variable: Dependent variable: Which is the best type of graph to represent this data?
Transcribed Image Text:3. Some basic advice about graphing. a. Always use graph paper and a ruler. b. It is very important to label each axis properly and clearly indicate the units that are used (e.g., grams, centimeters). c. Graphs should fill most of the graph paper (avoid excess space around your graph by plotting dependent and independent variables across the length and width of the graph paper). d. Every graph needs a title. Table 1.4. Average Monthly Temperatures (°F) at Central Park in 1919 and 2019 (www.weather.gov) YEAR JAN FEB MAR APR MAY JUN JUL AUG 1919 35.6 34.9 43.3 50.0 62.0 70.9 75.1 71.1 2019 32.5 36.2 41.7 55.5 62.2 71.7 SEP OCT NOV DEC 67.6 59.2 45.2 79.6 75.5 70.4 59.9 43.9 30.2 38.3 Independent variable: M Dependent variable: months /year Which is the best type of graph to represent this data? line graph Table 1.5. New Cases of Diagnosed Diabetes among U.S. Adults Aged 18-79 Years, 1980- 2008 (in thousands of cases) https://www.cdc.gov/diabetes/library/reports/reportcard/ incidence-2017.html 1980 1984 1988 1992 1996 2000 2004 2008 New diabetes cases (thousands) 493 611 635 682 799 1,104 1,403 1,728 Independent variable: Dependent variable: Which is the best type of graph to represent this data? Table 1.6. National Per Capita CO2 Emissions for 2018 (https://data.worldbank.org/indicator/ EN.ATM.CO2E.PC) CO₂ emissions Brazil Canada China France India Japan Mexico Nigeria Russia U.S. per person 2.4 16.1 8 5 1.9 9.4 3.8 0.6 12.1 16.1 (metric tons) Independent variable: Dependent variable: Which is the best type of graph to represent this data?
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