In: Statistics and Probability
You want to determine the speed limit for a local highway.
Distribution data for the driving speed on a given street is given below; all speeds have been rounded to the nearest integer.
Speed(x) |
Car Count |
39 |
8 |
40 |
8 |
41 |
24 |
42 |
24 |
43 |
48 |
44 |
96 |
45 |
208 |
46 |
200 |
47 |
200 |
48 |
136 |
49 |
16 |
50 |
16 |
51 |
8 |
52 |
0 |
53 |
8 |
Part a: What is the average(mean) and standard deviation of this sample of data? (Hint, you will need to manipulate the data – you cannot use the average or stdev functions in excel on the data as is.)
Part b: What is the value that 85% of the drivers fall under (the 85% speed limit) that you would recommend using this data? Answer the following questions to help you think through this problem.
When do you use the respective distribution or inverse functions in excel? Which situation do you have here and how do you know?
Using that information, what would you recommended speed limit this road? (Think about speed limits and how they are posted?)
Part c: What percent of people drive within 5 mph of your recommended 85% speed limit, using this data?
a)
Speed | Count | Speed*Count | (Mean -X)^2 | Count*(Mean-X)^2 |
39 | 8 | 312 | 46.45786 | 371.6628 |
40 | 8 | 320 | 33.82586 | 270.6068 |
41 | 24 | 984 | 23.19386 | 556.6525 |
42 | 24 | 1008 | 14.56186 | 349.4845 |
43 | 48 | 2064 | 7.929856 | 380.6331 |
44 | 96 | 4224 | 3.297856 | 316.5942 |
45 | 208 | 9360 | 0.665856 | 138.498 |
46 | 200 | 9200 | 0.033856 | 6.7712 |
47 | 200 | 9400 | 1.401856 | 280.3712 |
48 | 136 | 6528 | 4.769856 | 648.7004 |
49 | 16 | 784 | 10.13786 | 162.2057 |
50 | 16 | 800 | 17.50586 | 280.0937 |
51 | 8 | 408 | 26.87386 | 214.9908 |
52 | 0 | 0 | 38.24186 | 0 |
53 | 8 | 424 | 51.60986 | 412.8788 |
mean = ΣX/n = 45816.000 / 1000 = 45.8160
sample std dev = √ [ Σ(X - X̄)²/(n-1)] = √ (4390.144/999) = 2.0963
b)
µ= 45.816
σ = 2.0963
proportion= 0.85
Z value at 0.85 =
1.04 (excel formula =NORMSINV(
0.85 ) )
z=(x-µ)/σ
so, X=zσ+µ= 1.04 *
2.0963 + 45.816
X = 47.99 = 48
c)
µ = 45.816
σ = 2.0963
we need to calculate probability for ,
P ( 42.99 < X <
52.99 )
=P( (42.99-45.816)/2.0963 < (X-µ)/σ < (52.99-45.816)/2.0963
)
P ( -1.348 < Z <
3.422 )
= P ( Z < 3.422 ) - P ( Z
< -1.348 ) =
0.9997 - 0.0888 =
0.9109
= 91.09%
Please let me know in case of any doubt.