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A graphing calculator is recommended. A bacterial culture starts with 300 bacteria and doubles in size every half hour. (a) How many bacteria are there after 3 hours? (b) How many bacteria are there after \( t \) hours? (c) How many bacteria are there after 40 minutes? (Round your answer to the nearest whole number.) (d) Graph the population function.

Ask by Garrett Tran. in the United States
Feb 13,2025

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(a) After 3 hours, there are 19,200 bacteria. (b) After t hours, the number of bacteria is \( N(t) = 300 \times 2^{2t} \). (c) After 40 minutes, there are approximately 756 bacteria. (d) The population function \( N(t) = 300 \times 2^{2t} \) is an exponentially increasing curve.

Solution

We are given that the bacterial culture starts with 300 bacteria and that the population doubles every 30 minutes (0.5 hours). Step 1. Determine the number of doubling periods: • Every half hour the bacteria double. • After t hours there are (t / 0.5) = 2t doubling periods. Now, the general formula for the population after t hours is:   Population = (initial population) × (2^(number of doubling periods))   Population = 300 × 2^(2t) Let’s answer each part. ────────────────────────────── (a) How many bacteria are there after 3 hours? For t = 3 hours: • Number of doubling periods = 2 × 3 = 6. • Population = 300 × 2^6 = 300 × 64 = 19,200. So, after 3 hours there are 19,200 bacteria. ────────────────────────────── (b) How many bacteria are there after t hours? From the general discussion above, the population after t hours is:   N(t) = 300 × 2^(2t). ────────────────────────────── (c) How many bacteria are there after 40 minutes? (Round your answer to the nearest whole number.) First, convert 40 minutes to hours:   40 minutes = 40/60 = 2/3 hours. Now, substitute t = 2/3 into the formula:   N(2/3) = 300 × 2^(2 × (2/3)) = 300 × 2^(4/3). To approximate 2^(4/3), note:   2^(4/3) = e^[(4/3) ln 2]   ln 2 ≈ 0.6931, so (4/3) ln 2 ≈ 0.9241.   Thus, 2^(4/3) ≈ e^0.9241 ≈ 2.52. Then:   N(2/3) ≈ 300 × 2.52 ≈ 756. Rounded to the nearest whole number, there are about 756 bacteria after 40 minutes. ────────────────────────────── (d) Graph the population function. The function to graph is:   N(t) = 300 × 2^(2t). Key points for graphing (with t in hours) include: • t = 0: N(0) = 300 × 2^(0) = 300. • t = 0.5: N(0.5) = 300 × 2^(2×0.5) = 300 × 2^1 = 300 × 2 = 600. • t = 1: N(1) = 300 × 2^(2×1) = 300 × 2^2 = 300 × 4 = 1,200. • t = 1.5: N(1.5) = 300 × 2^(2×1.5) = 300 × 2^3 = 300 × 8 = 2,400. • t = 2: N(2) = 300 × 2^(2×2) = 300 × 2^4 = 300 × 16 = 4,800. • t = 3: N(3) = 300 × 2^(6) = 300 × 64 = 19,200. To graph, use the horizontal axis for time t (in hours) and the vertical axis for N(t) (number of bacteria). Plot the points listed above and draw a smooth, continuously increasing exponential curve that passes through them. Label your axes appropriately. ────────────────────────────── Summary of Answers: (a) After 3 hours, there are 19,200 bacteria. (b) After t hours, there are N(t) = 300 × 2^(2t) bacteria. (c) After 40 minutes, there are approximately 756 bacteria. (d) The graph of N(t) = 300 × 2^(2t) is an exponentially increasing curve with the key points listed above.

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The Deep Dive

To solve this bacterial growth problem, we can use the formula for exponential growth. The number of bacteria can be modeled by the equation \( N(t) = N_0 \times 2^{\frac{t}{T}} \), where: - \( N_0 \) = initial number of bacteria (300), - \( T \) = time it takes to double (0.5 hours), - \( t \) = time in hours. (a) In 3 hours, the bacteria will double \( \frac{3}{0.5} = 6 \) times. So, \( N(3) = 300 \times 2^6 = 300 \times 64 = 19200 \) bacteria. (b) For \( t \) hours, the function becomes \( N(t) = 300 \times 2^{2t} \). (c) For 40 minutes (which is \( \frac{40}{60} = \frac{2}{3} \) hours), the number of bacteria is \( N\left(\frac{2}{3}\right) = 300 \times 2^{\frac{2}{3}} \approx 300 \times 2.52 \approx 756 \). To graph the population function \( N(t) = 300 \times 2^{2t} \), simply plot points for various values of \( t \) such as 0, 0.5, 1, 1.5, etc., and draw a smooth curve that shows exponential growth. Did you know that bacterial colonies can double at astonishing rates, which is why they are utilized in bioremediation to clean up pollutants? A culture can easily turn into a full-fledged brigade of bacteria in a matter of hours! Additionally, understanding the math behind bacterial growth is crucial in fields like medicine and microbiology. Students often encounter exponential models in scenarios ranging from drug effectiveness to infection rates, making this knowledge valuable across various disciplines!

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