In: Statistics and Probability
Analyze the data set (e.g. mean, standard deviation, scatterplot, histogram, bar chart, etc.)and discuss important findings. Suggest courses of action related to the given situation.
Variable Names: | |||||
1. VOL: Cubic feet of cab space | |||||
2. HP: Engine horsepower | |||||
3. MPG: Average miles per gallon | |||||
4. SP: Top speed (mph) | |||||
5. WT: Vehicle weight (100 lb) | |||||
MAKE / MODEL | VOL | HP | MPG | SP | WT |
GM/GeoMetroXF1 | 89 | 49 | 65.4 | 96 | 17.5 |
GM/GeoMetro | 92 | 55 | 56 | 97 | 20 |
GM/GeoMetroLSI | 92 | 55 | 55.9 | 97 | 20 |
SuzukiSwift | 92 | 70 | 49 | 105 | 20 |
DaihatsuCharade | 92 | 53 | 46.5 | 96 | 20 |
GM/GeoSprintTurbo | 89 | 70 | 46.2 | 105 | 20 |
GM/GeoSprint | 92 | 55 | 45.4 | 97 | 20 |
HondaCivicCRXHF | 50 | 62 | 59.2 | 98 | 22.5 |
HondaCivicCRXHF | 50 | 62 | 53.3 | 98 | 22.5 |
DaihatsuCharade | 94 | 80 | 43.4 | 107 | 22.5 |
SubaruJusty | 89 | 73 | 41.1 | 103 | 22.5 |
HondaCivicCRX | 50 | 92 | 40.9 | 113 | 22.5 |
HondaCivic | 99 | 92 | 40.9 | 113 | 22.5 |
SubaruJusty | 89 | 73 | 40.4 | 103 | 22.5 |
SubaruJusty | 89 | 66 | 39.6 | 100 | 22.5 |
SubaruJusty4wd | 89 | 73 | 39.3 | 103 | 22.5 |
ToyotaTercel | 91 | 78 | 38.9 | 106 | 22.5 |
HondaCivicCRX | 50 | 92 | 38.8 | 113 | 22.5 |
ToyotaTercel | 91 | 78 | 38.2 | 106 | 22.5 |
FordEscort | 103 | 90 | 42.2 | 109 | 25 |
HondaCivic | 99 | 92 | 40.9 | 110 | 25 |
PontiacLeMans | 107 | 74 | 40.7 | 101 | 25 |
IsuzuStylus | 101 | 95 | 40 | 111 | 25 |
DodgeColt | 96 | 81 | 39.3 | 105 | 25 |
GM/GeoStorm | 89 | 95 | 38.8 | 111 | 25 |
HondaCivicCRX | 50 | 92 | 38.4 | 110 | 25 |
HondaCivicWagon | 117 | 92 | 38.4 | 110 | 25 |
HondaCivic | 99 | 92 | 38.4 | 110 | 25 |
Subaru Loyale | 102 | 90 | 29.5 | 109 | 25 |
VolksJettaDiesel | 104 | 52 | 46.9 | 90 | 27.5 |
Mazda323Protege | 107 | 103 | 36.3 | 112 | 27.5 |
FordEscortWagon | 114 | 84 | 36.1 | 103 | 27.5 |
FordEscort | 101 | 84 | 36.1 | 103 | 27.5 |
GM/GeoPrism | 97 | 102 | 35.4 | 111 | 27.5 |
ToyotaCorolla | 113 | 102 | 35.3 | 111 | 27.5 |
EagleSummit | 101 | 81 | 35.1 | 102 | 27.5 |
NissanCentraCoupe | 98 | 90 | 35.1 | 106 | 27.5 |
NissanCentraWagon | 88 | 90 | 35 | 106 | 27.5 |
ToyotaCelica | 86 | 102 | 33.2 | 109 | 30 |
ToyotaCelica | 86 | 102 | 32.9 | 109 | 30 |
ToyotaCorolla | 92 | 130 | 32.3 | 120 | 30 |
ChevroletCorsica | 113 | 95 | 32.2 | 106 | 30 |
ChevroletBeretta | 106 | 95 | 32.2 | 106 | 30 |
ToyotaCorolla | 92 | 102 | 32.2 | 109 | 30 |
PontiacSunbirdConv | 88 | 95 | 32.2 | 106 | 30 |
DodgeShadow | 102 | 93 | 31.5 | 105 | 30 |
DodgeDaytona | 99 | 100 | 31.5 | 108 | 30 |
EagleSpirit | 111 | 100 | 31.4 | 108 | 30 |
FordTempo | 103 | 98 | 31.4 | 107 | 30 |
ToyotaCelica | 86 | 130 | 31.2 | 120 | 30 |
ToyotaCamry | 101 | 115 | 33.7 | 109 | 35 |
ToyotaCamry | 101 | 115 | 32.6 | 109 | 35 |
ToyotaCamry | 101 | 115 | 31.3 | 109 | 35 |
ToyotaCamryWagon | 124 | 115 | 31.3 | 109 | 35 |
OldsCutlassSup | 113 | 180 | 30.4 | 133 | 35 |
OldsCutlassSup | 113 | 160 | 28.9 | 125 | 35 |
Saab9000 | 124 | 130 | 28 | 115 | 35 |
FordMustang | 92 | 96 | 28 | 102 | 35 |
ToyotaCamry | 101 | 115 | 28 | 109 | 35 |
ChryslerLebaronConv | 94 | 100 | 28 | 104 | 35 |
DodgeDynasty | 115 | 100 | 28 | 105 | 35 |
Volvo740 | 111 | 145 | 27.7 | 120 | 35 |
FordThunderbird | 116 | 120 | 25.6 | 107 | 40 |
ChevroletCaprice | 131 | 140 | 25.3 | 114 | 40 |
LincolnContinental | 123 | 140 | 23.9 | 114 | 40 |
ChryslerNewYorker | 121 | 150 | 23.6 | 117 | 40 |
BuickReatta | 50 | 165 | 23.6 | 122 | 40 |
OldsTrof/Toronado | 114 | 165 | 23.6 | 122 | 40 |
Oldsmobile98 | 127 | 165 | 23.6 | 122 | 40 |
PontiacBonneville | 123 | 165 | 23.6 | 122 | 40 |
LexusLS400 | 112 | 245 | 23.5 | 148 | 40 |
Nissan300ZX | 50 | 280 | 23.4 | 160 | 40 |
Volvo760Wagon | 135 | 162 | 23.4 | 121 | 40 |
Audi200QuatroWag | 132 | 162 | 23.1 | 121 | 40 |
BuickElectraWagon | 160 | 140 | 22.9 | 110 | 45 |
CadillacBrougham | 129 | 140 | 22.9 | 110 | 45 |
CadillacBrougham | 129 | 175 | 19.5 | 121 | 45 |
Mercedes500SL | 50 | 322 | 18.1 | 165 | 45 |
Mercedes560SEL | 115 | 238 | 17.2 | 140 | 45 |
JaguarXJSConvert | 50 | 263 | 17 | 147 | 45 |
BMW750IL | 119 | 295 | 16.7 | 157 | 45 |
Rolls-RoyceVarious | 107 | 236 | 13.2 | 130 | 55 |
"This approach is the most suitable course of action that can be undertaken."
Use Excel for best results and let me know in case you are stuck somewhere.
To obtain meaningful inference from the dataset, I have isolated the Car Company and Car Type in different columns. All the statistics will be calculated for the 28 different Car Companies and comparisons would be then drawn from the overall results.
Firstly find the database in the following pictures:
MEAN (AVERAGE)
Now we calculate the mean for the different "Car Companies"
To calculate the same we have simply picked a car maker, eg:- Buick and we are finding the average VOL. We use the formula (50+160)/2=105.
Similiarly we are calculating the means of all the variables with reference to the car company.
Inferences Drawn:
STANDARD DEVIATION:
It is a measure of how far apart the results vary from the mean value. For the different car companies it is calculated using the formula:
n= number of cars
Inferences Drawn:
BAR GRAPH
SCATTERPLOT