00 Next erns & Communicating Assume that you quickly drink a 12 oz. soft drink containing about 48 mg of caffeine. If the amount of caffeine in your body were monitored over the next 8 hours, the result would be similar to the data in the following table. Caffeine Remaining (mg) Time (hours) 48 1. 33.6 2. 23.52 3. 16.464 4 11.5248 8.06736 6 5.647152 3.9530064 8. 2.76710448

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Chapter10: Statistics
Section10.1: Measures Of Center
Problem 14PPS
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Is it decreasing or decay? Slide 2 is what I answered and slide 3 is the one I need help on
Coca-Cola
CLASSIC
2 of 15
Next >
Investigating Patterns & Communicating
Assume that you quickly drink a 12 oz. soft
drink containing about 48 mg of caffeine.
If the amount of caffeine in your body were
monitored over the next 8 hours, the result
would be similar to the data in the following
table.
Caffeine Remaining
(mg)
Time (hours)
48
33.6
Does there appear to be a common factor or
a common difference in the amount of
caffeine remaining after each hour?
23.52
3
16.464
Common Factor
Common Difference
4
11.5248
5
8.06736
Explain your thinking.
6
5.647152
It follows a common factor as by dividing each value
by its existing value there's a common ratio of 1.428
3.9530064
P Edit my response
8
2.76710448
Transcribed Image Text:Coca-Cola CLASSIC 2 of 15 Next > Investigating Patterns & Communicating Assume that you quickly drink a 12 oz. soft drink containing about 48 mg of caffeine. If the amount of caffeine in your body were monitored over the next 8 hours, the result would be similar to the data in the following table. Caffeine Remaining (mg) Time (hours) 48 33.6 Does there appear to be a common factor or a common difference in the amount of caffeine remaining after each hour? 23.52 3 16.464 Common Factor Common Difference 4 11.5248 5 8.06736 Explain your thinking. 6 5.647152 It follows a common factor as by dividing each value by its existing value there's a common ratio of 1.428 3.9530064 P Edit my response 8 2.76710448
3 of 15
Next >
Investigating Patterns & Communicating
Based on your answer to the previous slide
(slide 2), can caffeine elimination from the
human body be accurately modeled by a linear
function or an exponential function?
CH3
H,C,
N
O Linear Function (Decreasing)
'N'
O Exponential Function (Decay)
Caffeine
C3Hyo Ny O2
CH3
Transcribed Image Text:3 of 15 Next > Investigating Patterns & Communicating Based on your answer to the previous slide (slide 2), can caffeine elimination from the human body be accurately modeled by a linear function or an exponential function? CH3 H,C, N O Linear Function (Decreasing) 'N' O Exponential Function (Decay) Caffeine C3Hyo Ny O2 CH3
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