IE300 Project

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    IE 300 Project 1 Basic Data AnalysisDue in class, Tuesday, March 13, 2012

    PreliminariesProject 1 is to be completed by student teams, with each team containing three students (excepting one ortwo teams that may contain 4 students). Teams are assigned by the instructor. Teams are identified bystudent last names, and are assigned a corresponding project team number.

    Data for the project for all teams will be placed on the course Compass website. That is, by Tuesday,February 21, on the Compass website you will find your team number on a file which contains data in .xls(Excel) format, e.g., the data for project team 14 is in the file Team14.xls. Each file contains 1 vectorof discrete data and 6 vectors of continuous data (labeled as discrete and conts); descriptions ofthe data and the associated probability analysis questions you are required to answer are given below. Foryour project, you are responsible for analyzing only the two data sets that correspond to your team number.Data assigned to other teams should not be used in your analysis.

    Data Analysis Assignment

    For both data sets, you may utilize the capabilities of MATLAB, EXCEL, or Minitab to analyze the data.

    I. Continuous Data

    The continuous data represent average monthly temperature measurements (Fahrenheit) (daily high tem-perature, averaged over the month), for the months of February and August, over a span of 100 years, from3 different cities in the US. For each of the 3 cities and 2 months in your data set, individually you shouldanswer the following:

    1. What are the statistical characteristics of the sample data?

    2. What type of probability distribution seems to describe the data best and why?

    3. Does the data appear to be normally distributed (based on basic normalitytests)?

    4. Are there any outliers in the data that may be affecting your analysis?

    5. Are there any trends in the data?

    6. Suppose you and your friends are planning a trip in February to the southernmost city in your dataset. What city will this be? What is the probability that the temperature during your visit will beover 70 F? Between 60-69 F? Below 55 F?

    II. Discrete Data

    The discrete data given represent the number of students who enter the computer network assistance centerat Pomona College. Each observation represents the worst hour in a 24 hour (one day) period. There area total of 92 observations, covering a 3 month period. The computer center management requires an analysisof the data in order to determine staffing requirements. Given this data, they would like you to determine:

    1. What are the statistical characteristics of the sample data?

    2. What type of probability distribution seems to describe the data best and why?

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    3. Are there any outliers in the data that may be affecting your analysis?

    4. What is the probability that larger numbers of students will arrive during a worst-case one-hour timeperiod? (Note: you need to select, and justify your selection for what larger means in this context.State clearly what this value/range is in your report and why you selected it based on course-relatedanalyses).

    Turn in the following:

    1. A concise but complete report including your analysis and support for your conclusions.

    2. Relevant histograms, graphs and/or plots.

    3. Attach a copy of your worksheets or spreadsheets from MATLAB/EXCEL; include references to routinesused or any routines you wrote yourselves to complete the assignment.

    Note that the text of your report should be typed unless one of you has superior penmanship that everyonecan read; mathematical formulas may be written in by hand. You may discuss the approaches you are using

    with other teams, however, each team should complete their own analysis (as the data is different!). Submitone report which has been completed solely by the members of the team.

    All spelling errors and egregious grammatical errors will result in deductions from the final grade.