Sports Car SUV 1 Wagon Brand Moldel Class 1=Yes = Yes 1= Yes Chevrolet Aveo 4dr 0 0 0 Chevrolet Aveo LS 0 0 0 Chevrolet Cavalier 2dr 0 0 0 Chevrolet Cavalier 4dr 0 0 0 Chevrolet Cavalier LS 0 0 0 Chevrolet Colorado Z85 0 0 0 Chevrolet Malibu 4dr 0 0 0 Chrysler PT Cruiser 0 0 0 Chrysler Sebring 4dr 0 0 0 Dodge Neon SE 0 0 0 Dodge Neon SXT 0 0 0 Dodge Dakota Regular 0 0 0 Dodge Stratus SXT 0 0 0 Ford Focus ZX3 0 0 0 Ford Focus LX 0 0 0 Ford Ranger 2.3 0 0 0 Ford Focus SE 0 0 0 Ford Focus ZX5 0 0 0 Ford Focus ZTW 0 0 1 Ford Mustang 2dr 1 0 0 Ford Focus SVT 0 0 0 GMC Canyon Z85 0 0 0 Honda Civic DX 0 0 0 Honda Civic HX 0 0 0 Honda Civic LX 0 0 0 Honda Civic EX 0 0 0 Honda Element LX 0 1 0 Honda Insight 2dr 0 0 0 Honda Civic Si 0 0 0 Honda Accord LX 0 0 0 Honda CR-V LX 0 1 0 Hyundai Accent 2dr 0 0 0 Hyundai Accent GL 0 0 0 Hyundai Accent GT 0 0 0 Hyundai Elantra GLS 0 0 0 Hyundai Elantra GT 0 0 0 Hyundai Elantra GT 0 0 0 Hyundai Tiburon GT 1 0 0 Hyundai Sonata GLS 0 0 0 Jeep Liberty Sport 0 1 0 Kia Rio 4dr 0 0 0 Kia Rio 4dr 0 0 0 Kia Rio Cinco 1 0 1 Kia Spectra 4dr 0 0 0 Kia Spectra GS 0 0 0 Kia Spectra GSX 0 0 0 Kia Optima LX 0 0 0 Kia Optima LX 0 0 0 Kia Sorento LX 0 1 0 Mazda B2300 SX 0 0 0 Minivan 1 Pickup = Yes 1 = Yes 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 All- Wheel Drive 1 = Yes 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 Mazda3 i Mazda3 s Mazda6 i Mini Cooper Mini Cooper Mitsubishi Lancer Mitsubishi Lancer Mitsubishi Lancer Mitsubishi Lancer Mitsubishi Outlander Mitsubishi Galant Nissan Sentra Nissan Sentra Nissan Sentra Nissan Altima Nissan Frontier OldsmobileAlero Pontiac Sunfire Pontiac Vibe Pontiac Sunfire Saturn Ion1 Saturn lon2 Saturn lon2 Saturn lon3 Saturn lon3 Scion xA Scion xB Subaru Impreza Suzuki Forenza Suzuki Aeno Suzuki Aerio Suzuki Forenza Suzuki Aerio Suzuki Vitara Suzuki Verona Toyota Echo Toyota Echo Toyota Echo Toyota Tacoma Toyota Corolla Toyota Corolla Toyota Corolla Toyota Tundra Toyota Matrix Toyota Camry Toyota Camry VolkswageGolf VolkswageJetta VolkswageGTI 4dr 4dr 4dr S ES LS OZ Sportback LS ES 1.8 1.8 SE-R S King GX 1SA 1SC 4dr 4dr quad 4dr quad 4dr 2.5 S S LX EX SX LX LX 2dr 4dr 2dr CE S LE Regular XR LE Solara GLS GL 1.8T 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Rear Wheel Drive 1 Suggested = Yes Retail Price 0 $11,690 0 $12,585 0 $14,610 0 $14,810 0 $16,385 0 $18,760 0 $18,995 0 $17,985 0 $19,090 0 $13,670 0 $15,040 1 $17,630 0 $18,820 0 $13,270 0 $13,730 1 $14,385 0 $15,460 0 $15,580 0 $17,475 1 $18,345 0 $19,135 1 $16,530 0 $13,270 0 $14,170 0 $15,850 0 $17,750 0 $18,690 0 $19,110 0 $19,490 0 $19,860 0 $19,860 0 $10,539 0 $11,839 0 $11,939 0 $13,839 0 $15,389 0 $15,389 0 $18,739 0 $19,339 0 $20,130 0 $10,280 0 $11,155 0 $11,905 0 $12,360 0 $13,580 0 $14,630 0 $16,040 0 $18,435 0 $19,635 1 $14,840 Dealer Cost $10,965 $11,802 $13,697 $13,884 $15,357 $17,070 $17,434 $16,919 $17,805 $12,849 $14,086 $16,264 $17,512 $12,482 $12,906 $13,717 $14,496 $14,607 $16,375 $16,943 $17,878 $14,877 $12,175 $12,996 $14,531 $16,265 $17,334 $17,911 $17,849 $17,924 $18,419 $10,107 $11,116 $11,209 $12,781 $14,207 $14,207 $17,101 $17,574 $18,973 $9,875 $10,705 $11,410 $11,630 $12,830 $13,790 $14,910 $16,850 $18,630 $14,070 Engine Size (Liters) 1.6 1.6 2.2 2.2 2.2 2.8 2.2 2.4 2.4 2 2 3.7 2.4 2 2 2.3 2 2 2 3.8 2 2.8 1.7 1.7 1.7 1.7 2.4 2 2 2.4 2.4 1.6 1.6 1.6 2 2 2 2.7 2.7 2.4 1.6 1.6 1.6 1.8 1.8 1.8 2.4 2.7 3.5 2.3 Cylinders (-1 = Rotary) 4 4 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 6 6 4 4 4 4 4 4 4 4 6 6 4 Horsepower 103 103 140 140 140 175 145 150 150 132 132 210 150 130 110 143 130 130 130 193 170 175 115 117 115 127 160 73 160 160 160 103 103 103 138 138 138 172 170 150 104 104 104 124 124 124 138 170 192 143 City MPG 28 28 26 26 26 18 24 22 22 29 29 16 21 26 27 24 26 26 26 20 21 19 32 36 32 32 21 60 26 26 21 29 29 29 26 26 26 19 19 20 26 25 26 24 24 24 23 20 16 24 Highway MPG 34 34 37 37 37 23 34 29 30 36 36 22 28 33 36 29 33 33 33 29 28 24 38 44 38 37 24 66 30 34 25 33 33 33 34 34 34 26 27 24 33 32 33 32 32 32 30 27 19 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 $15,500 $17,200 $19,270 $16,999 $19,999 $14,622 $16,722 $17,232 $17,495 $18,892 $19,312 $12,740 $14,740 $17,640 $19,240 $19,479 $18,825 $15,495 $17,045 $17,735 $10,995 $14,300 $14,850 $15,825 $16,350 $12,965 $14,165 $19,945 $12,269 $12,884 $14,500 $15,568 $16,497 $17,163 $17,262 $10,760 $11,290 $11,560 $12,800 $14,085 $15,030 $15,295 $16,495 $16,695 $19,560 $19,635 $18,715 $19,005 $19,825 $14,525 $15,922 $17,817 $15,437 $18,137 $13,751 $15,718 $16,196 $16,295 $17,569 $17,957 $12,205 $13,747 $16,444 $18,030 $18,253 $17,642 $14,375 $15,973 $16,369 $10,319 $13,393 $13,904 $14,811 $15,299 $12,340 $13,480 $18,399 $12,116 $12,719 $14,317 $15,378 $16,291 $16,949 $17,053 $10,144 $10,642 $10,896 $11,879 $13,065 $13,650 $13,889 $14,978 $15,156 $17,558 $17,722 $17,478 $17,427 $18,109 2 2.3 2.3 1.6 1.6 2 2 2 2.4 2.4 2.4 1.8 1.8 2.5 2.5 3.3 2.2 2.2 1.8 2.2 2.2 2.2 2.2 2.2 2.2 1.5 1.5 2.5 2 2.3 2.3 2 2.3 2.5 2.5 1.5 1.5 1.5 2.4 1.8 1.8 1.8 3.4 1.8 2.4 2.4 2 2 1.8 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 6 4 4 4 4 4 4 4 6 4 4 4 4 4 4 148 160 160 115 163 120 120 120 160 160 160 126 126 165 175 180 140 140 130 140 140 140 140 140 140 108 108 165 119 155 155 119 155 165 155 108 108 108 142 130 130 130 190 130 157 157 115 115 180 * * 24 28 25 * * * * 21 * 28 28 23 21 17 24 24 29 24 26 26 26 26 26 32 31 22 24 25 25 22 24 19 20 35 35 33 22 32 32 32 16 29 24 24 24 24 24 * * 32 37 34 * * * * 27 * 35 35 28 26 20 32 33 36 33 35 35 35 35 35 38 35 28 31 31 31 30 29 22 27 43 43 39 27 40 40 40 20 36 33 33 31 30 31 Weight 2370 2348 2617 2676 2617 3623 3174 3101 3173 2581 2626 3714 3182 2612 2606 3028 2606 2691 2702 3290 2750 3351 2432 2500 2513 2601 3468 1850 2782 2994 3258 2255 2290 2339 2635 2635 2698 3023 3217 3826 2403 2458 2447 2661 2686 2697 3281 3279 4112 2960 Wheel Base (inches) 98 98 104 104 104 111 106 103 108 105 105 112 108 103 103 111 103 103 103 101 103 111 103 103 103 103 101 95 101 105 103 96 96 96 103 103 103 100 106 104 95 95 95 101 101 101 106 106 107 112 Length (inches) 167 153 183 183 183 * 188 169 191 174 174 * 191 168 168 * 168 168 178 183 168 * 175 175 175 175 167 155 166 188 179 167 167 167 178 178 178 173 187 174 167 167 167 178 178 178 186 186 180 * Width 66 66 69 68 69 * 70 67 71 67 67 * 71 67 67 * 67 67 67 73 67 * 67 67 68 68 72 67 67 71 70 66 66 66 68 68 68 69 72 72 66 66 66 68 68 68 72 72 73 * 2696 2762 3042 2524 2678 2656 2795 2744 3020 3240 3351 2513 2581 2761 3039 3932 2946 2771 2701 2771 2692 2692 2751 2692 2751 2340 2425 2965 2701 2676 2676 2756 2932 3020 3380 2035 2055 2085 2750 2502 2524 2524 3925 2679 3086 3175 2897 3034 2934 * * 105 97 97 102 102 102 102 103 108 100 100 100 110 116 107 104 102 104 103 103 103 103 103 93 98 99 102 98 98 102 98 98 106 93 93 93 103 102 102 102 128 102 107 107 99 99 99 * * 187 143 144 181 181 181 181 179 191 178 178 178 192 * 187 182 172 182 185 185 185 185 185 154 155 174 177 171 171 177 167 163 188 163 163 163 * 178 178 178 * 171 189 193 165 174 168 * * 70 67 67 67 67 67 67 69 72 67 67 67 70 * 70 68 70 68 67 67 68 67 68 67 67 69 68 68 68 68 68 67 72 65 65 65 * 67 67 67 * 70 71 72 68 68 68 NON-RESIDENTIAL EDUCATION STAT-535 Project Description Project Introduction The project for this course consists of analyzing a set of data and presenting a clear and cohesive discussion about conclusions drawn from the analysis. Managers are often required to make decisions based on information gleaned from \"raw data.\" The final project provides you with an opportunity to generate information from a set of data using descriptive statistics. This is a very useful skill to develop. Project Stage Descriptions Stage 1: Data Selection (15 Points) Download and read through the Project Description.docx file. You have two options for choosing a dataset. Option A (choose an existing dataset from the Project Dataset file) 1. Download the Project Datasets. 2. Review each dataset in the file to familiar yourself with the choices. 3. To choose a dataset for your project: a. Review the legend file located in Project Datasets. This file will give you background on where the data is from and what it represents. In addition, the legend file defines the variables in the dataset. i. If the legend file describes a dataset that you want to use, download the raw data from the corresponding .xlsx file. ii. If you do not want to use the dataset, move on to the next legend file. b. Missing Data: You may find that some data is \"missing\" in the dataset you plan to use. For example, in the 2004-Automobiles.xlsx dataset, there are several cars that do not have any entry under length. If you were conducting analysis for \"length,\" you would use Excel's \"Filter\" to only work with those automobiles in your dataset that have an entry under \"length.\" You can find instructions on how to use Excel's Filter via Google or YouTube. (Uncheck the box in the Excel Filter containing the asterisk (\"*\") [the asterisk (\"*\") means no data]). 4. Submit the title of the dataset to your Instructor using the Dropbox by the end of the workshop. Option B (choose your own dataset) 1. Request permission from your instructor to use your own dataset. Your request should include: a. Name and source of your data b. An attached dataset that meets the following criteria: i. A mix of categorical and numerical variables ii. At least 30 data points 2. Submit your request and attach your dataset using the Dropbox by the end of this workshop. Your instructor must approve your dataset before you proceed with the next steps of your project. You may not change your data set once you submit your choice to your instructor. Stage 2: Variables and Analysis Questions (25 Points) Provide a list of variables used in the dataset you selected in Workshop One and explain what each variable is in regard to the type of data and the level of measurement. 1. Provide a list of questions you are asking in relation to the data and summarize what you hope to learn from your analysis. 2. The analysis questions that you create should explore the descriptive characteristics of the dataset. Consult \"A Roadmap for Selecting a Statistical Method\" (page i in your textbook), in particular the first row, \"Describing a group or several groups." Specifically, the questions should reveal: a. The central tendencies of the data (i.e., mean, median, and mode) b. How the data is distributed and how the data items vary (i.e., standard deviation, range, and variance) c. The relationship, if any, between two numerical variables in the dataset (correlation analysis) 3. Submit your completed Variables and Analysis Questions Summary to your instructor using the Dropbox by the end of the workshop. Stage 3: Statistical Tools (50 Points) 1. Write a summary of statistical methods and techniques you plan to use for the analysis questions you developed in Workshop Two. 2. For each analysis question, indicate the statistical method(s) you will use and the exhibits (i.e., graphs, charts, and displays) you will present in your report. Make sure to discuss why you think each statistical method is appropriate, based on the data set and the analysis question. Use the tools referenced in row one of a Roadmap for Selecting a Statistical Method (page i in your textbook) as well as correlation analysis. Provide an example or two such as, \"I plan to calculate the coefficient of correlation to see if there is a relationship between income and price paid for a car.\" 3. Submit your completed summary to your instructor using the Dropbox by the end of the workshop. Stage 4: Citations (20 Points) 1. Submit a list of at least three information reference sources of books, articles, or websites to be incorporated into your final submission of your project. The citations should be in APA format. Refer to the APA 6e Guide: http://www2.indwes.edu/ocls/apa/APA6eGuide.pdf 2. Your research may expand on what you've learned from the data set and/or provide reasons why you chose to use a particular statistical method in your analysis. Stage 5: Final Paper Draft (90 Points) Produce a comprehensive draft (that is, it should be a FINAL draft). By doing so, your instructor can provide you with detailed feedback. As you respond to your instructor's detailed feedback, you will have the opportunity to improve your final paper. All sections should be extensively sketched out. Statistical methods used and exhibits should be thoroughly discussed. Download the file The Changing Video Consumption Habits of the American Public.docx to see an exemplar project submission. 1. Prepare a draft of your project, which should contain the following sections for this submission: a. Title page b. Description of the variables that includes what each variable is in regards to type of data and level of measurement c. Summary of the questions you are asking of the data and what you hope to learn from your analysis d. Analysis of the questions you posed using statistical tools you have learned about in this course, supported by references to the tables and graphs you created e. Conclusion, consisting of a well-written discussion about the significance of the information found in your analysis questions - in other words, why are the analysis questions important to ask and answer? 2. Be sure to incorporate all instructor feedback you received in Workshops Two and Three. 3. When you've completed your project draft, save a copy for yourself and submit a copy to your instructor using the Dropbox by the end of the workshop. NOTE: The same rubric is to be used for both Stage 5 and Stage 6. Only the point values change. Stage 6: Final Project Submission (110 Points) Introduce your chosen data set and the research questions you devised. Then provide a thorough summary of the statistics derived from the data. Answer the original research questions and provide some conclusions from your findings. Also, list all references you used for the report in APA format. Paper Format Your paper should contain the following sections: Title page Description of the variables Analysis questions posed Statistical analysis Conclusions and recommendations References Project Rubric - Week 5 Criteria 20 Points 15 - 19 Points 10- 14 Points 0-9 Points Title Page Your title page adheres strictly to APA formatting and contains all required components. Your title page mostly adheres to APA formatting and contains all required components. Your title page does not adhere to APA formatting but has all required components. You do not include a title page or it is missing major components. Criteria 20 Points 15 - 19 Points 10- 14 Points 0-9 Points Variables and Questions You include a detailed description of the variables, summarize the analysis questions, and address all instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address most instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address some instructor feedback from your Workshop Two submission. You do not include a detailed description of the variables or summarize the analysis questions, or you address very little or no instructor feedback from your Workshop Two submission. Criteria 20 Points 15 - 19 Points 10- 14 Points 0-9 Points Exhibit Tools and Analysis You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question. You either do not include the exhibit tools or analysis or you do not incorporate instructor feedback from Workshop Three. You incorporate most instructor feedback from Workshop Three. You incorporate some instructor feedback from You incorporate all instructor feedback from Workshop Three. Workshop Three. Criteria 20 Points 15 - 19 Points 10- 14 Points 0-9 Points Conclusions Your conclusions are clearly supported by statistical analysis and show the significance of the analysis questions. Your conclusions are adequately supported by statistical analysis and show the significance of some of the analysis questions. Your conclusions are not well supported by statistical analysis and fail to show the significance of most of the analysis questions. Your conclusions are not supported by statistical analysis and fail to show the significance of the analysis questions. Criteria 10 Points 8 - 9 Points 6 - 7 Points 0-5 Points You demonstrated exceptional simplicity, clarity, and conciseness in your writing. Writing, Grammar, spelling, length, and citation Your sentence structure is complete with correct spelling, punctuation, capitalization, varied diction, and word choices. Your sources are correctly cited. You demonstrated limited simplicity, clarity, and conciseness in your writing. Your sentence structure has minor errors (fragments, runons) with correct spelling, punctuation, capitalization, and limited diction and word choices. Your sources are correctly cited. Your sentence structure has several errors in sentence fluency with multiple fragments/runons; poor spelling, punctuation, and/or word choice. Your assignment length is inappropriate with several format and citation errors. Total Points You demonstrated a lack of simplicity, clarity, and conciseness in your writing. Your sentence structure has serious and persistent errors in sentence fluency, sentence structure, spelling, punctuation, and/or word choice. Your assignment length is inappropriate with several format and citation errors. 90 Project Rubric - Week 6 Criteria 10 Points 8 - 9 Points 6- 7 Points 0-5 Points Title Page Your title page adheres strictly to APA formatting and contains all required components. Your title page mostly adheres to APA formatting and contains all required components. Your title page does not adhere to APA formatting but has all required components. You do not include a title page or it is missing major components. Criteria 25 Points 20 - 24 Points 10- 19 Points 0-9 Points Variables and Questions You include a detailed description of the variables, summarize the analysis questions, and address all instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address most instructor feedback from your Workshop Two submission. You include a detailed description of the variables, summarize the analysis questions, and address some instructor feedback from your Workshop Two submission. You do not include a detailed description of the variables or summarize the analysis questions, or you address very little or no instructor feedback from your Workshop Two submission. Criteria 40 Points 32 - 39 Points 21- 31 Points 0-20 Points Exhibit Tools and Analysis You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question. You include a sketch of the exhibit tools used for your project and why you think each method is appropriate based on the data set and each analysis question. You either do not include the exhibit tools or analysis or you do not incorporate instructor feedback from Workshops Three through Five. You incorporate most instructor You incorporate some instructor You incorporate all instructor feedback from Workshops Three through Five. feedback from Workshops Three through Five. feedback from Workshops Three through Five. Criteria 25 Points 20 - 24 Points 10- 19 Points 0-9 Points Conclusions Your conclusions are clearly supported by statistical analysis and show the significance of the analysis questions. Your conclusions are adequately supported by statistical analysis and show the significance of some of the analysis questions. Your conclusions are not well supported by statistical analysis and fail to show the significance of most of the analysis questions. Your conclusions are not supported by statistical analysis and fail to show the significance of the analysis questions. Criteria 10 Points 8 - 9 Points 6 - 7 Points 0-5 Points You demonstrated exceptional simplicity, clarity, and conciseness in your writing. Writing, Grammar, spelling, length, and citation Your sentence structure is complete with correct spelling, punctuation, capitalization, varied diction, and word choices. Your sources are correctly cited. You demonstrated limited simplicity, clarity, and conciseness in your writing. Your sentence structure has minor errors (fragments, runons) with correct spelling, punctuation, capitalization, and limited diction and word choices. Your sources are correctly cited. Your sentence structure has several errors in sentence fluency with multiple fragments/runons; poor spelling, punctuation, and/or word choice. Your assignment length is inappropriate with several format and citation errors. You demonstrated a lack of simplicity, clarity, and conciseness in your writing. Your sentence structure has serious and persistent errors in sentence fluency, sentence structure, spelling, punctuation, and/or word choice. Your assignment length is inappropriate with several format and citation errors. Total Points 110 \fNew technology advancements in vehicles that we see on an every day basis have us as consumers at awe. Every year we see cars getting faster and smarter than before the concept of cars and computers would never cross anybody minds a couple of decades ago. With the rise of these smart and advanced cars we have to consider the market for these newer cars. Today's automaker companies have been competing with each other on which cars are rated higher and sell the most. Consumers get caught up with the place that the car is built and make decisions if the car is made in America or overseas. In this study we will look at a particular automobile data set that have characteristics that I will dissect to find any correlation between these different automakers. In the automobile data set that I choose the first couple questions falls into categorical variables also known as qualitative variables. The questions about the type of automobile that mentions if it is a SUV, Sportswear, wagon, minivan, pick up and etc are prime examples categorical variables. The measurements for these questions are nominal scale because there is no ranking in this data. Questions that will come up in my study are there any correlation in the dealer price and suggested price. Also, Is the size of the car in weight having any correlation between the prices? Statistical methods and techniques that I plan to use with the automobile data set will be finding the mean, median, and mode for the numerical variables. Also, I will explore deeper in data on the suggested and dealer prices for the vehicles using the covariance and sample coefficient of correlation technique. I will use a scatter plot with data collected using the sample coefficient of correlation. This type of graph will indicate the linear relationship between dealer prices and suggested the price for a car. Also, I plan to use the three measures of central tendencies (mean, median and mode) to understand the typical amount of miles per gallon that the automobile gets. With this data collected on the MPG, I can also see if the type vehicle has any correlation with this variable. This kind of information can help buyers make an educated and calculated decision when choosing a car. Citations - National Center for Health Statistics (US). Division of Vital Statistics, United States. National Vital Statistics Division, United States. National Office of Vital Statistics, & United States. Bureau of the Census. Vital Statistics Division. (1979). Vital statistics of the United States. United States Bureau of the Census. - Malin, M., Gill, R., Hill, E., Mohr, E., Taylor, R., Beckett, R., & Vuchic, B. (2000). U.S. Patent Application No. 09/735,912. - Monteverde, K., & Teece, D. J. (1982). Supplier switching costs and vertical integration in the automobile industry. The Bell Journal of Economics, 206-213. \fNew technology advancements in vehicles that we see on an every day basis have us as consumers at awe. Every year we see cars getting faster and smarter than before the concept of cars and computers would never cross anybody minds a couple of decades ago. With the rise of these smart and advanced cars we have to consider the market for these newer cars. Today's automaker companies have been competing with each other on which cars are rated higher and sell the most. Consumers get caught up with the place that the car is built and make decisions if the car is made in America or overseas. In this study we will look at a particular automobile data set that have characteristics that I will dissect to find any correlation between these different automakers. In the automobile data set that I choose the first couple questions falls into categorical variables also known as qualitative variables. The questions about the type of automobile that mentions if it is a SUV, Sportswear, wagon, minivan, pick up and etc are prime examples categorical variables. The measurements for these questions are nominal scale because there is no ranking in this data. Questions that will come up in my study are there any correlation in the dealer price and suggested price. Also, Is the size of the car in weight having any correlation between the prices? Statistical methods and techniques that I plan to use with the automobile data set will be finding the mean, median, and mode for the numerical variables. Also, I will explore deeper in data on the suggested and dealer prices for the vehicles using the covariance and sample coefficient of correlation technique. I will use a scatter plot with data collected using the sample coefficient of correlation. This type of graph will indicate the linear relationship between dealer prices and suggested the price for a car. Also, I plan to use the three measures of central tendencies (mean, median and mode) to understand the typical amount of miles per gallon that the automobile gets. With this data collected on the MPG, I can also see if the type vehicle has any correlation with this variable. This kind of information can help buyers make an educated and calculated decision when choosing a car. Citations - National Center for Health Statistics (US). Division of Vital Statistics, United States. National Vital Statistics Division, United States. National Office of Vital Statistics, & United States. Bureau of the Census. Vital Statistics Division. (1979). Vital statistics of the United States. United States Bureau of the Census. - Malin, M., Gill, R., Hill, E., Mohr, E., Taylor, R., Beckett, R., & Vuchic, B. (2000). U.S. Patent Application No. 09/735,912. - Monteverde, K., & Teece, D. J. (1982). Supplier switching costs and vertical integration in the automobile industry. The Bell Journal of Economics, 206-213