Tuesday, February 10, 2015

Rate of Change

A). Boston Months vs. Average Snowfall 

B). In this experiment, I will show how the amount of snowfall varies over the different months of the year. This is useful information for cities because i can be used for preparation to combat severe weather conditions. How does the amount of snow change between months?

C). 

January
38.3
February
18.5
March
1.3
April
0.9
May
0
June
0
July
0
August
0
Septmeber
0
October
0
November
0
December
22

Month Snowfall (In)
1 38.3
2 18.5
3 1.3
4 0.9
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 22

D).



E). The ARC between the following months:
Between January (1) and February (2) 
(1, 38.3) and (2, 18.5) = -19.8
Between February (2) and March (3)
(2, 18.5) and (3, 1.3) = -17.2
Between March (3) and April (4)
(3, 1.3) and (4, 0.9) = -0.4

The ARC increases as the warmer months approach and then towards the last month is peaks and significantly increases. I can infer that there is more snow during the colder, winter months like January and February and that there is less snow during warming months if this pattern is continuous.

F). The ARC of the secant lines increase the further the months are from January.


G). Between January (1) and March (3) 
(1, 38.3) and (3, 1.3) --> In January there was 38.3 inches of snow and in March there were 1.3 inches.
(1, 38.3) and (3, 1.3) = -19.8 =-37/2 = -18.5
IRC = -18.5 inches

This amount of won is within the values we calculated earlier and falls somewhere middle to high range of amount of snowfall.

H). I know that this is the IRC because we saw that the slopes increases the further we get from January. Furthermore, it falls within the values I got and is slightly above the smallest value, so we know it follows the tangent.

1 comment:

  1. fontaine,

    great topic! i wonder how this info will compare to the snowfall data from 2015, since boston got pummeled!

    there are a few issues with some of your calculations, but your graphs and tables look good. your secant line calculations should have all originated from the same point in time. so if you were interested in the rate of change of snowfall in boston in january, then all of your secant line calculations should have been from there. for example, january to feb, jan. to mar, and jan. to april, this way it would match a tangent line value going through the point in time in january. also, don't forget the units when calculating your secant values and tangent line value (inches per month)

    also, i am sorry that no one commented on your post.

    let me know if you don't understand the comments about the secant errors.


    professor little

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