Question

In: Statistics and Probability

You want to determine the speed limit for a local highway.    Distribution data for the driving...

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?

Solutions

Expert Solution

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.


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