Podcast
Questions and Answers
What does the function mean()
calculate for Temp_data_CO2_10_23$DJF
?
What does the function mean()
calculate for Temp_data_CO2_10_23$DJF
?
- The minimum temperature recorded in DJF
- The maximum temperature value for DJF
- The standard deviation of temperature for DJF
- The average temperature for the DJF season (correct)
Which function is used to determine the variability of the temperature data for each season?
Which function is used to determine the variability of the temperature data for each season?
- min()
- plot()
- max()
- sd() (correct)
What is indicated by the min()
function applied to Temp_data_CO2_10_23$MAM
?
What is indicated by the min()
function applied to Temp_data_CO2_10_23$MAM
?
- It shows the average temperature for MAM.
- It calculates the yearly variation for MAM.
- It detects the lowest recorded temperature for MAM. (correct)
- It identifies the highest temperature in MAM.
What does the command plot(Temp_data_CO2_10_23$
Gas emissions (in billion t), Temp_data_CO2_10_23$
Yearly variation)
accomplish?
What does the command plot(Temp_data_CO2_10_23$
Gas emissions (in billion t), Temp_data_CO2_10_23$
Yearly variation)
accomplish?
Which of the following statements about the functions applied to Temp_data_CO2_10_23$
is true?
Which of the following statements about the functions applied to Temp_data_CO2_10_23$
is true?
Flashcards
mean(Temp_data_CO2_10_23$DJF)
mean(Temp_data_CO2_10_23$DJF)
Calculates the average temperature for DJF (December, January, February) in the dataset
mean(Temp_data_CO2_10_23$MAM)
mean(Temp_data_CO2_10_23$MAM)
Calculates the average temperature for MAM (March, April, May) in the dataset
mean(Temp_data_CO2_10_23$JJA)
mean(Temp_data_CO2_10_23$JJA)
Calculates the average temperature for JJA (June, July, August) in the dataset
mean(Temp_data_CO2_10_23$SON)
mean(Temp_data_CO2_10_23$SON)
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mean(Temp_data_CO2_10_23$Yearly variation
)
mean(Temp_data_CO2_10_23$Yearly variation
)
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mean(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
mean(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
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sd(Temp_data_CO2_10_23$DJF)
sd(Temp_data_CO2_10_23$DJF)
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sd(Temp_data_CO2_10_23$MAM)
sd(Temp_data_CO2_10_23$MAM)
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sd(Temp_data_CO2_10_23$JJA)
sd(Temp_data_CO2_10_23$JJA)
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sd(Temp_data_CO2_10_23$SON)
sd(Temp_data_CO2_10_23$SON)
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sd(Temp_data_CO2_10_23$Yearly variation
)
sd(Temp_data_CO2_10_23$Yearly variation
)
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sd(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
sd(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
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min(Temp_data_CO2_10_23$DJF)
min(Temp_data_CO2_10_23$DJF)
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min(Temp_data_CO2_10_23$MAM)
min(Temp_data_CO2_10_23$MAM)
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min(Temp_data_CO2_10_23$JJA)
min(Temp_data_CO2_10_23$JJA)
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min(Temp_data_CO2_10_23$SON)
min(Temp_data_CO2_10_23$SON)
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min(Temp_data_CO2_10_23$Yearly variation
)
min(Temp_data_CO2_10_23$Yearly variation
)
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min(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
min(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
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max(Temp_data_CO2_10_23$DJF)
max(Temp_data_CO2_10_23$DJF)
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max(Temp_data_CO2_10_23$MAM)
max(Temp_data_CO2_10_23$MAM)
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max(Temp_data_CO2_10_23$JJA)
max(Temp_data_CO2_10_23$JJA)
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max(Temp_data_CO2_10_23$SON)
max(Temp_data_CO2_10_23$SON)
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max(Temp_data_CO2_10_23$Yearly variation
)
max(Temp_data_CO2_10_23$Yearly variation
)
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max(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
max(Temp_data_CO2_10_23$Gas emissions (in billion t)
)
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plot(Temp_data_CO2_10_23$Year
, Temp_data_CO2_10_23$Gas emissions (in billion t)
)
plot(Temp_data_CO2_10_23$Year
, Temp_data_CO2_10_23$Gas emissions (in billion t)
)
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plot(Temp_data_CO2_10_23$Year
, Temp_data_CO2_10_23$Yearly variation
)
plot(Temp_data_CO2_10_23$Year
, Temp_data_CO2_10_23$Yearly variation
)
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plot(Temp_data_CO2_10_23$Gas emissions (in billion t)
, Temp_data_CO2_10_23$Yearly variation
)
plot(Temp_data_CO2_10_23$Gas emissions (in billion t)
, Temp_data_CO2_10_23$Yearly variation
)
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