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Course provided by LabCE.

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Continuing Education Credits

Florida Board of Clinical Laboratory Personnel Credit Hours - Supervision/Administration, Quality Control/Quality Assurance, and Safety: 2 hour(s)
Course number 20-547651, approved through 9/1/2020

Objectives

  • Explain why knowledge of statistics is important to laboratory scientists.
  • Define terms that are associated with descriptive statistics and apply them to specific situations.
  • Prepare tables and figures of data that meet the criteria specified in this unit.
  • Describe "frequency distribution" and explain the advantage of presenting data in this manner.
  • Given a set of data, construct a frequency table according to criteria stated in this unit.
  • Given a set of data, construct both actual and relative frequency distributions that accurately represent the discrete or continuous nature of the data.
  • Given a set of data, calculate its variance and standard deviation.
  • Given the mean and standard deviation of a set of data in a normal distribution, find the ranges encompassing 68%, 95%, and 99% of all observations.
  • Describe at least two situations in which coefficient of variation is a useful tool.
  • Calculate coefficient of variation when given the mean and standard deviation of a set of data.
  • Explain how coefficient of variation is used in the clinical laboratory.

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(based on 346 customer ratings)

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Course Outline

  • Introduction to Statistics
      • Introduction to Statistics
      • Why Statistics?
      • Descriptive Statistics
  • Definition of Statistics Terms
      • Samples and Populations
      • Statistics and Parameters
      • Independent and Dependent Variables
      • Discrete and Continuous Data
  • Graphic Representation of Data
      • Importance of Professional Tables and Graphs
      • Table Specifications
      • Figures Specification
  • Frequency Distribution
      • Data and Data Pairs
      • Using Frequency Distributions
      • Reading Frequency Distributions
      • Constructing Frequency Distributions
      • A Frequency Distribution Example
      • Step 1: Select Size and Number of Class Intervals
      • Step 2: List the Class Intervals
      • Step 3: Sort the Data
      • Step 4: Determine Frequencies
      • Step 5: Determine Relative Frequencies
      • Graphing Frequency Distributions
      • Bar Chart
      • Histogram
      • Frequency Polygon
      • Absolute vs. Relative Frequency
  • Measures of Central Tendency
      • Mean, Median, and Mode
      • Mean
      • Median
      • Mode
  • Measures of Spread
      • Standard Deviation
      • Standard Deviation (continued)
      • Standard Deviation Example
      • Standard Deviation Example (continued)
  • Normal Distribution
      • Introduction to the Normal Distribution
      • Normal Distribution
      • 68-95-99 Rule Illustrated
      • Inferences from Sample Data
  • Coefficient of Variation
      • A Measure of Relative Variability
      • Using the Coefficient of Variation
      • Monitoring Methods
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