(a) Give a rough estimate of the change in yearly carbon dioxide emission from 2016 to 2023. (Choose the best answer.) It increased by about 10%. ○ It more than doubled. It decreased by a factor of 10, so in 2023 the yearly carbon dioxide emission was only 10 of what it was in 2016. It increased by a factor of 10, so in 2023 the yearly carbon dioxide emission was 10 times what it was in 2016. (b) Approximate to the nearest whole number (in thousands of metric tons) the change in the yearly carbon dioxide emission from 2016 to 2023. thousand metric tons Graph A and Graph B both show the carbon dioxide emission, in thousands of metric tons, from a local power plant for the years 2016 through 2023. (Both graphs show exactly the same data.) 100 90 80 70 60 50. 40- 30 20 10 Graph A Carbon dioxide emission (in thousands of metric tons) 2016 2017 2018 2019 2020 2021 2022 2023 100 98 96 94 92 Graph B Carbon dioxide emission (in thousands of metric tons) 2016 2017 2018 2019 2020 2021 2022 2023

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter6: Exponential And Logarithmic Functions
Section: Chapter Questions
Problem 33PT: Enter the data from Table 2 into a graphing calculator and graph the ranking scatter plot. Determine...
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(a)Give a rough estimate of the change in yearly carbon dioxide emission from 2016 to 2023. (Choose the best answer.)
 
 It increased by about 
10%
.
 
 It more than doubled.
 
 It decreased by a factor of 
10
, so in 2023 the yearly carbon dioxide emission was only 
110
 of what it was in 2016.
 
 It increased by a factor of 
10
, so in 2023 the yearly carbon dioxide emission was 
10
 times what it was in 2016.
(b)Approximate to the nearest whole number (in thousands of metric tons) the change in the yearly carbon dioxide emission from 2016 to 2023.
thousandmetrictons

(c)Which of the two graphs is more likely to be misleading? Why? (Choose the best answer.)
 
 In Graph A, the heights of the bars are visually similar, which suggests there was a relatively small increase in the yearly carbon dioxide emission. In Graph B, the heights of the bars look very different, suggesting that there was a dramatic increase in the yearly carbon dioxide emission. Therefore, Graph A could mislead a person into thinking that the increase in the yearly carbon dioxide emission between 2016 and 2023 was smaller than it really was.
 
 In Graph A, the heights of the bars look very different, suggesting that there was a dramatic increase in the yearly carbon dioxide emission. In Graph B, the heights of the bars are visually similar, which suggests there was a relatively small increase in the yearly carbon dioxide emission. Therefore, Graph A could mislead a person into thinking that the increase in the yearly carbon dioxide emission between 2016 and 2023 was larger than it really was.
 
 In Graph A, the baseline is at 
0
, so the heights of the bars have the same relative size as the actual levels of carbon dioxide emission. In Graph B, the baseline is at 
90
 instead of 
0
, which exaggerates the differences between the levels of carbon dioxide emission. Therefore, Graph B could mislead a person into thinking that the increase in the yearly carbon dioxide emission between 2016 and 2023 was larger than it really was.
 
 In Graph A, the differences between the levels of carbon dioxide emission are exaggerated. In Graph B, the heights of the bars have the same relative size as the actual levels of carbon dioxide emission. Therefore, Graph B could mislead a person into thinking that the increase in the yearly carbon dioxide emission between 2016 and 2023 was smaller than it really was.
(a) Give a rough estimate of the change in yearly carbon dioxide emission from 2016 to 2023. (Choose the best answer.)
It increased by about 10%.
○ It more than doubled.
It decreased by a factor of 10, so in 2023 the yearly carbon dioxide emission was only 10
of what it was in 2016.
It increased by a factor of 10, so in 2023 the yearly carbon dioxide emission was 10 times what it was in 2016.
(b) Approximate to the nearest whole number (in thousands of metric tons) the change in the yearly carbon dioxide
emission from 2016 to 2023.
thousand metric tons
Transcribed Image Text:(a) Give a rough estimate of the change in yearly carbon dioxide emission from 2016 to 2023. (Choose the best answer.) It increased by about 10%. ○ It more than doubled. It decreased by a factor of 10, so in 2023 the yearly carbon dioxide emission was only 10 of what it was in 2016. It increased by a factor of 10, so in 2023 the yearly carbon dioxide emission was 10 times what it was in 2016. (b) Approximate to the nearest whole number (in thousands of metric tons) the change in the yearly carbon dioxide emission from 2016 to 2023. thousand metric tons
Graph A and Graph B both show the carbon dioxide emission, in thousands of metric tons, from a local power plant for the years 2016 through 2023. (Both
graphs show exactly the same data.)
100
90
80
70
60
50.
40-
30
20
10
Graph A
Carbon dioxide emission
(in thousands of metric tons)
2016
2017 2018
2019 2020 2021 2022 2023
100
98
96
94
92
Graph B
Carbon dioxide emission
(in thousands of metric tons)
2016
2017 2018 2019 2020 2021 2022 2023
Transcribed Image Text:Graph A and Graph B both show the carbon dioxide emission, in thousands of metric tons, from a local power plant for the years 2016 through 2023. (Both graphs show exactly the same data.) 100 90 80 70 60 50. 40- 30 20 10 Graph A Carbon dioxide emission (in thousands of metric tons) 2016 2017 2018 2019 2020 2021 2022 2023 100 98 96 94 92 Graph B Carbon dioxide emission (in thousands of metric tons) 2016 2017 2018 2019 2020 2021 2022 2023
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