Jordan
Massoud
Math-160-001
Blog
#2
Part A:
1. My source is a
NASCAR standings data sheet posted midway through the season: http://nytimes.stats.com/nascar/index.asp?page=standings&series=NASCAR.
2.
A function is a
relationship in which one output is paired with exactly one input.
3.
On the “Sports”
page of the New York Times, I found a data chart listing the NASCAR Sprintcup
Standings with related statistics listed for each driver:
|
Rank
|
Driver
|
|||||||||
|
1
|
3000
|
-
|
29
|
5
|
13
|
16
|
1
|
8220
|
1496
|
|
|
2
|
3000
|
0
|
29
|
4
|
11
|
19
|
0
|
8289
|
665
|
|
|
3
|
3000
|
0
|
29
|
4
|
13
|
18
|
4
|
8179
|
794
|
|
|
4
|
3000
|
0
|
29
|
3
|
10
|
18
|
3
|
7883
|
1035
|
|
|
5
|
3000
|
0
|
29
|
2
|
10
|
15
|
2
|
7860
|
1592
|
|
|
6
|
3000
|
0
|
29
|
0
|
11
|
18
|
2
|
8128
|
467
|
|
|
7
|
3000
|
0
|
28
|
1
|
6
|
12
|
2
|
7495
|
195
|
|
|
8
|
3000
|
0
|
29
|
1
|
6
|
12
|
4
|
7741
|
411
|
|
|
9
|
3000
|
0
|
29
|
0
|
2
|
11
|
1
|
8264
|
24
|
|
|
10
|
3000
|
0
|
29
|
3
|
11
|
17
|
2
|
7667
|
220
|
|
|
11
|
3000
|
0
|
29
|
2
|
6
|
11
|
2
|
8246
|
134
|
|
|
12
|
3000
|
0
|
29
|
1
|
3
|
10
|
3
|
8181
|
204
|
|
|
13
|
2077
|
923
|
29
|
1
|
2
|
4
|
3
|
8097
|
68
|
|
|
14
|
2073
|
927
|
29
|
1
|
6
|
8
|
5
|
8064
|
181
|
|
|
15
|
2072
|
928
|
29
|
0
|
3
|
10
|
1
|
8182
|
109
|
|
|
16
|
2061
|
939
|
29
|
1
|
2
|
7
|
6
|
7581
|
23
|
4.
There are many
possible relationships present in this data chart. I am examining the
relationship between the position in the standings (i.e., 1st, 2nd,
3rd) and the number of laps the person in that position has led. I am going to let “N” be the number of laps
led, and “R” be the ranking in the standings. Represented in function notation,
it would be: R=f(N).
5.
This function is
not a linear function. This is because the rate of change (slope) varies
at every interval. For example, if you take the point (1496,1) representing the
1st position in the standings and the 1496 laps that person has led
through the season, and compare that to the point (195,7) representing the 7th
person in the leaderboard and the 195 laps they led throughout the season. The slope
(y2-y1/x2-x1 or change in ranking/change in laps led) of these two points would
be: (7-1)/(195-1496) = 6/-1301. If I calculate another rate of change between
points (794,3) and (411,8), the slope would be: (8-3)/(411-794) = 5/-383. If
you look at the rate of change values for these two intervals they are not the
same, which indicates that this function is not linear.
6.
For a function
to be a mathematical model, the output values must depend on the input values. This
function: R=f (N), ranking as a function of the number of laps led during the
season, does not represent a mathematical model. Although theoretically, if one
leads more laps, we would tend to think they would be higher in the standings,
this is not the case, because the standings are based on points won from
racing, not how many laps that driver has led. However, the function: R= f (P),
meaning ranking as a function of the number of points a driver had, would
be a mathematical model, because the driver’s ranking would directly depend on
how many points that driver had received from their races.
Part B:
1.
Relationships
that are not functions are relationships in which one input value gives back
multiple output values.
2.
I found a weekly
weather forecast in the Washington Post. This forecast has the high and low temperatures
listed starting on \ Wednesday October 1, and going sequentially until next
Tuesday October 7. Source: http://www.washingtonpost.com/weather/
|
Wed
|
Thu
|
Fri
|
Sat
|
Sun
|
Mon
|
Tue
|
|
|
|
|
|
|
|
|
|
---
Mostly cloudy
WEDNESDAY
Lo: Hi:
66 74
|
---
Mostly cloudy
THURSDAY
Lo: Hi:
63 76
|
40%
Drizzle
FRIDAY
Lo: Hi:
59 76
|
---
Mostly sunny
SATURDAY
Lo: Hi:
53 67
|
---
Sunny
SUNDAY
Lo: Hi:
47 64
|
20%
Chance rain shwr
MONDAY
Lo: Hi:
48 70
|
40%
Chance rain shwr
TUESDAY
Lo: Hi:
55 70
|
3.
I am comparing
the expected weather condition for the day and the expected high temperature
for that day, in other words, the expected weather condition is the input, and
the expected high temperature is the output. In function notation, it would be:
T(Expected high temperature = f(W) (the expected weather condition).
4.
I know that
T=f(W) is not a function because to be a function, every element of one set, in
this case, the weather conditions, has to have exactly one corresponding output
value- in this case, the expected high temperature. For example, take the input
“Mostly Cloudy.” There is more than one corresponding output value(expected
high temperature) for the input mostly cloudy, which is 76 degrees Fahrenheit
or 74 degrees Fahrenheit. If you plotted these data points on a graph with the
weather conditions on the x-axis and the expected high temperatures on the
y-axis, this set of points would fail the vertical line test because there
would be two dots above the input “Mostly Cloudy.”
Good topic choices!
ReplyDeleteI love Nascar
ReplyDeletewe both used sports for part a! (Y)
ReplyDeletejordan,
ReplyDeletereally nice explanations for your first example. i like how you took the time to explain that some relationships in the table are mathematical models and some are not. also, good job of remembering to use function notation and for showing ROC calculations to confirm linearity.
it's a little bit of a stretch for the second example since you wouldn't really just graph weather prediction against temp, but i'll allow it.
professor little
jordan,
ReplyDeletethe second example would not be able to be written in function notation if it is not a function.