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Applied Statistics for Data Analysis

  • PHA 6935 Applied Statistics for Data Analysis

    Credits: 3
    Tuition: $1,725


    Applied Statistics for Data Analysis provides students with the basic knowledge of how scientific evidence is classified and how statistical procedures are utilized to analyze data. This encompasses common descriptive measures such as the mean, standard deviation, and uncertainty of measurements as well as comparative statistics that aim to compare two or more population means or perform simple linear regression. These basic statistical operations are important for every-day tasks conducted in an analytical laboratory. No matter which field the student will be working in, a basic understanding of the scientific method and the statistics used to analyze data is essential to the job performance.


    Please review our recommended course order.


    Module Topic
    Module 1 Introduction to Scientific Evidence and Statistics
    Module 2 Measures of central tendency and the normal distribution
    Module 3 Probability
    Module 4 Discrete random variables and probability distributions
    Module 5 Estimation of mean and standard deviation and the normal distribution
    Module 6 Hypothesis testing for one or two population means, Student t-test
    Module 7 Hypothesis testing for small sample sizes and multinomial experiments, Fisher’s exact test
    Module 8 Analysis of Variance and multiple comparison tests
    Module 9 Simple linear regression

    Required Materials

    Introductory Statistics
    Author: Prem S. Mann
    Publisher: Wiley; 7th edition (02/02/2010)
    ISBN-10: 0470444665
    ISBN-13: 978-0470444665

    Recommended Materials

    Introductory Statistics Student Study Guide
    Author: Prem S. Mann
    Publisher: Wiley; 7th edition (1/12/2010)
    ISBN: 978-0470572405

    Library Access

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    At a Glance

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