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the depth of snow after ( n ) hours of a snowstorm is represented by th…

Question

the depth of snow after ( n ) hours of a snowstorm is represented by the function ( f(n + 1) = f(n) + 0.8 ) where ( f(0) = 2.5 ). which statement describes the sequence of numbers generated by the function?

  • the depth of snow was 2.5 inches when the storm began, and increased by 0.8 inches each hour.
  • the depth of snow was 0.8 inches when the storm began, and 2.5 inches after the first hour of the storm.
  • the depth of snow was 1.7 inches when the storm began, and 0.8 inches of snow fell each hour.
  • the depth of snow was 3.3 inches when the storm began, and 2.5 inches of snow fell in 1 hour.

Explanation:

Step1: Analyze the initial condition

The function is given with \( f(0) = 2.5 \). In the context of the snowstorm, \( n = 0 \) represents the start of the storm. So, the depth of snow at the beginning (when the storm started) is \( f(0)=2.5 \) inches.

Step2: Analyze the recursive relation

The recursive formula is \( f(n + 1)=f(n)+0.8 \). This means that for each increase of 1 in \( n \) (i.e., for each hour that passes), the depth of snow \( f(n) \) increases by 0.8 inches. For example, when \( n = 0 \), \( f(1)=f(0)+0.8=2.5 + 0.8 \), which is the depth after 1 hour, and it's 0.8 inches more than the depth at \( n = 0 \).

Now let's analyze each option:

  • Option 1: "The depth of snow was 2.5 inches when the storm began, and increased by 0.8 inches each hour." This matches our analysis of \( f(0) = 2.5 \) (start depth) and the recursive relation showing a 0.8 - inch increase per hour.
  • Option 2: Claims the start depth is 0.8 inches, but \( f(0)=2.5 \), so this is wrong.
  • Option 3: Claims the start depth is 1.7 inches, but \( f(0)=2.5 \), so this is wrong.
  • Option 4: Claims the start depth is 3.3 inches, but \( f(0)=2.5 \), and also misrepresents the rate, so this is wrong.

Answer:

The depth of snow was 2.5 inches when the storm began, and increased by 0.8 inches each hour.