Analytical Skills

Basic Statistics

NASBA CPEs: 21|CEUs: 2.1

Who Should Attend

Anyone whose work involves basic statistical calculations and analysis will benefit.  This includes program and management analysts, budget analysts, other analysts, project managers, managers, supervisors, team leaders, administrative officers, contract workers, and grant recipients. 

Course Overview

Statistics are mathematical tools that help you organize, analyze, and project new findings based on the data we routinely collect as a part of our daily work functions. An understanding of basic statistics will assist you in bringing accountability, clarity, and transparency to work reports. Mastering a basic application of statistics will also improve your analytical skills and make you more valuable to your organization.  

Course Objectives and Agenda

Course Objectives

  • Gain a basic understanding of statistics and its applications. 
  • Differentiate the kinds of data (population, sample, discrete, continuous).
  • Develop and describe measures of central tendency.
  • Identify frequency distributions and calculate measures of dispersion and their significance.
  • Discover the nature of randomness.
  • Calculate permutations, combinations and probabilities.
  • Apply calculated, acceptable guesses to work solutions.

Course Agenda

   I. What is statistics?

          a. Descriptive
          b. Inferential

  II. Frequency Distributions

 III. Measures of Central Tendency

          a. Mean
          b. Median
          c. Mode

  IV. Possibilities and Probabilities

          a. Counting
          b. Permutations
          c. Combinations
          d. Probability
          e. Expectation

   V. Rules of Probability

  VI. Probability Distributions

 VII. The Normal Curve

VIII. Sampling and Sampling Distributions

          a. Random sampling
          b. Sample Mean and Standard Deviation

                i. Grouped Data
               ii. Ungrouped Data

          c. Sampling concerns

               i. Minimum sample size
              ii. Bias and acceptable collection methods

          d. Standard Score and the Normal Curve
          e. Confidence Intervals

  IX. Ordinal Ranking

          a. Comparison Matrix
          b. Forced Choices
          c. Choice Prioritization

   X. Moving Forward with Confidence

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