Search

Summary

Chapter 5 examines the normal distribution, its relationship to z-scores, and its applicability to probability theory and statistical inference. z-scores or standardized scores are values depicting how far a particular score is from the mean in standard deviation units. Different proportions of the normal curve area are associated with z-scores. The conversions of raw scores to z-scores and z-scores to raw scores are illustrated. Nonnormal distributions which differ markedly from normal curve characteristics are also described. The importance of the normal curve as a probability distribution, along with a brief introduction to probability, is discussed.

Summary

This chapter gives examples of very basic graphs and charts and how to read them. Such graphs and charts are used by clinicians and by laboratory personnel. One plot that may be relatively overlooked is the normal probability plot, which gives a visual snapshot of the distribution of data. It might be a simple way to non-statistically determine whether or not data are normally or non-normally distributed, or if they are bi- or tri-modal, or log-distributed.

Search Results

Refine search

Refine search

Actions for selected content:

2 results

5 - The Normal Curve

Summary

10 - Interpreting Graphs and Charts

Summary

Search Results

Refine search

Refine search

Actions for selected content:

Save Search

2 results

5 - The Normal Curve

Summary

10 - Interpreting Graphs and Charts

Summary