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Unformatted text preview: Introductory Statistics Project #3 Fast Food Exploration using Descriptive Statistics Introduction Because of your stellar reputation as a data analyst, you have been hired by Mr. Manalo's nutritional information company to explore and compare the healthiness of our fast food restaurants. Your job in this project is to analyze raw nutritional data to assess the healthiness (or lack of healthiness) of each restaurant. The website called Fast Food Explorer contains all the raw data that you need about every menu item for the most common fast food chains. Some questions to consider include: 1. 2. 3. 4. Which restaurants will you compare? Which types of foods can be compared? Which menu items will you compare? Which nutritional data will you use (fat calories, sodium, etc.)? At this point in the course, you have many tools for describing and exploring data including measures of central tendency, measures of spread, and now measures of position. You also have many visual graphs to use. All of these are powerful tools for learning deep information about the data. We will use all of these tools to explore the healthiness of how our fast food restaurants. Objectives You will be able to summarize data using measures of central tendency, such as the mean, median, mode, and midrange. You will be able to describe data using measures of variation, such as the range, variance, and standard deviation. You will be able to identify the position of a data value in a data set using various measures of position, such as percentiles, deciles, and quartiles. You will be able to use the techniques of exploratory data analysis, including boxplots to discover various aspects of the data. Procedure 1. Browse the website http://www.fatcalories.com/ 2. Decide on the specific details of the study that you would like to investigate and discuss the proposal plan with your teacher. Be sure to get approval from Mr. M before proceeding. 3. Write a brief description of your investigation which should describe: a. What question(s) will you be investigating? b. What data will you need to thoroughly answer the question? c. How will you analyze this data? 4. Gather and organize the necessary data from the website. 5. Analyze the data a. Calculate measures of central tendency b. Calculate measures variation c. Calculate measures of position d. Create graphs, charts, boxplots. 6. Write summary conclusions. 7. Put it all together nicely on a fun poster Scoring Rubric Project Element Name, Date, Title 4 All of name, date, and title is clearly indicated on poster An introduction of your investigation clearly describes the essential question(s) that you are exploring and your strategy for your investigation. Data is appropriately selected based on the needs of the investigation. All Data sets have at least 10 values Raw data is accurate and neatly organized into appropriately labeled data tables. A clearly organized table of measures of central tendency (midrange, mean, median, mode) have been created with no mistakes. A caption clearly summarizes the information in the table A clearly organized table of measures of spread (range, variance, standard deviation, and coefficient of variance) have been created with no mistakes. A caption clearly summarizes the information in the table 3 Most of name, date, and title is indicated on poster An introduction of your investigation describes the essential question(s) that you are exploring and your strategy for your investigation. 2 Some of name, date, and title indicated on poster. 1 No name, date, or title is indicated on poster. No introduction to your investigation Introduction Description of your investigation Selection and Organization of Raw Data Measures of Central Tendency Table(s) Measures of Spread Table(s) An introduction of your investigation somewhat describes the essential question(s) that you are exploring and your strategy for analyzing the data Data is somewhat Data is appropriately appropriately selected selected based on the based on the needs of needs of the the investigation investigation. Some Data sets have at Most Data sets have at least 10 values least 10 values Raw data is mostly Raw data is mostly accurate and organized accurate and organized into appropriately into appropriately labeled data tables. labeled data tables. A table of measures of An organized table of central tendency measures of central (midrange, mean, tendency (midrange, median, mode) have mean, median, mode) been created with some have been created with mistakes. few mistakes. A caption summarizes the A caption summarizes the information in the table information in the table but may be inaccurate A clearly organized table A clearly organized table of measures of spread of measures of spread (range, variance, (range, variance, standard deviation, and standard deviation, and coefficient of variance) coefficient of variance) have been created with have been created with few mistakes. some mistakes. A caption summarizes the A caption summarizes the information in the table information in the table but may be inaccurate Data is somewhat appropriately selected based on the needs of the investigation No Data sets have at least 10 values Raw data is mostly accurate and organized into appropriately labeled data tables. A table of measures of central tendency (midrange, mean, median, mode) has been created with many mistakes or not created. A clearly organized table of measures of spread (range, variance, standard deviation, and coefficient of variance) have been created with many mistakes or not created. Project Element Measures of Position Table(s) 4 A clearly organized table of zscores and percentiles have been accurately created with no mistakes A caption clearly summarizes the information in the table Box plots and dot plots have been neatly created with no mistakes. A brief summary clearly describes any information that your analysis revealed about the questions that you chose to investigate. It is very clear that you know how to interpret information provided from descriptive statistics. Project is completed on or before the deadline: Start of Class on Friday, October 24th. 3 An mostly organized table of zscores and percentiles have been created with few mistakes A caption summarizes the information in the table Box plots and dot plots have been created with few mistakes. 2 A table of zscores and percentiles have been created with some mistakes A caption summarizes the information in the table but may be inaccurate Box plots and dot plots have been created with some mistakes. 1 A table of zscores and percentiles has not been created or has many mistakes. Use of Box Plot(s) Written Conclusions On Time Box plots and dot plots have been created with many mistakes or not created at all. A brief summary clearly A brief summary clearly A brief summary describes any describes any describes any information that your information that your information that your analysis revealed about analysis revealed about analysis revealed about the questions that you the questions that you the questions that you chose to investigate. chose to investigate. chose to investigate. It is mostly clear that you It is somewhat clear that It is not clear that you know how to interpret know how to interpret you know how to information provided information provided interpret information from descriptive provided from descriptive from descriptive statistics. statistics. statistics. Project is completed Project is completed Project is completed 6 or within 2 days of deadline: within 35 days of more days after deadline: Start of Class on Friday, deadline: Start of Class Start of Class on Friday, October 24th. on Friday, October 24th. October 24th. ...
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 Spring '11
 Lee
 Statistics

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