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?
Biomedical Instrumentation Systems
1st Edition
ISBN:9781133478294
Author:Chatterjee
Publisher:Chatterjee
Chapter19: Biomedical Laboratory Instrumentation
Section: Chapter Questions
Problem 1RT
Related questions
Question
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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