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    Description
    This 3 half day (8:30am - Noon) course is to prepare the student for future classes where you will need to have the knowledge of Excel and knowledge of the specific statistical functionality. The course puts heavy emphasis on the functions and tools in Excel that are used in Statistical Analysis. It has proven to meets students desires for a refresher course for statistics and for a builder of skills in Excel. Some students appear to gain Excel skills and other gain statistical skills; most have gained both.
    Who Should Attend
    Anyone wanting to use Excel Statistics
    Leaning Objectives
    Module 1: After completing this module, the student will be able to:
    • Understand why Excel is useful as a statistical tool
    • Define what is meant by a worksheet and a workbook
    • Enter data into a worksheet
    • Create formulas and solve problems with a worksheet using basic arithmetic functions
    • Edit data that is in a worksheet
    • Edit data by using right-click functions, copy with cross hairs, F4 key cell ($) modifiers

    Module 2: After completing this module, the student will be able to:
    • Use Excel to create common graphic presentations as pie chart, bar charts, simple histograms, line charts, and scatter plots.
    • Edit and modify charts

    Module 3: After completing this module, the student will be able to:
    • Explain the characteristics and uses of measures of central tendency
    • Explain the characteristics and uses of measures of dispersion
    • Use Excel functions to calculate the arithmetic mean, median, mode, and standard deviations
    • Use Excel’s Analysis ToolPak add-in to find measures of central tendency and dispersion

    Module 4: After completing this module, the student will be able to:
    • Define point estimate
    • Define level of confidence
    • Use Excel to calculate a confidence interval for a population when the sample size is 30 or larger

    Module 5: After completing this module, the student will be able to:
    • Explain linear regression
    • Use Excel to draw a scatter diagram
    • Use Excel to find a least squares regression line
    • Use Excel and the least squares regress equation to predict the value of a dependent variable based on an independent variable

    Module 6: After completing this module, the student will be able to:
    • Explain lognormal distribution
    • Use Excel Lognormal functions to create a lognormal distribution probability
    Pre-Requisites
    Excel Basics
    Classroom Requirements
    None
    Syllabus
    Pre-Test Form (28.32 KB)
    Other Files
    Day 1 Info (6.53 MB)
    History of Changes
    None
    Dates
    -
    Location Address

    9112 SW 24th St
    73128 OK
    United States

    Map Address
    Agenda
    Other Files
    Class Capacity
    30
    Registration

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