Wk 5 Discussion 1 - Normal Distribution [due Thurs]

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Wk 5 Discussion 1 - Normal Distribution [due Thurs] Due Thursday In statistics, it is critical to know what is meant by a normal distribution. Write a 250- to 300-word response to the following: What are the properties of a normal distribution? normal distribution: A bell-shaped and symmetrical theoretical distribution with the mean, the median, and the mode all coinciding at its peak and with the frequencies gradually decreasing at both ends of the curve. ALSO LOOK FOR DEFINITION IN WEEK 1 DISCUSSION The normal curve (Figure 5.1) is bell shaped. One of the most striking characteristics of the normal distribution is its perfect symmetry. If you fold Figure 5.1 exactly in the middle, you have two equal halves, each the mirror image of the other. This means that precisely half the observations fall on each side of the middle of the distribution In addition, the midpoint of the normal curve is the point having the maximum frequency. This is also the point at which three measures coincide: (1) the mode (the point of the highest frequency), (2) the median (the point that divides the distribution into two equal halves), and (3) the mean (the average of all the scores). Notice also that most of the observations are clustered around the middle, with the frequencies gradually decreasing at both ends of the distribution. Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2019). Social statistics for a diverse society (9th ed.). SAGE Publications. Is a normal distribution always necessary? Why or why not? The normal curve is pivotal in much of statistics. Converting data to their normal curve equivalent values allows an incredibly diverse range of statistical techniques to be applied. This portion of statistics is involved with z scores, the normal curve equivalent values. These values are measured in standard deviation units, covered later in the book/ it accurately describes the distribution of values for many natural phenomena . Keller, D. K. (2006). Bell-shaped the normal curve. SAGE Publications, Inc., https://doi.org/10.4135/9781452226637 Why do researchers often refer to a normal distribution as a theoretical normal distribution ? The normal distribution is a theoretical distribution, similar to an empirical distribution in that it can be organized into frequency distributions, displayed using graphs, and described by its
central tendency and variation using measures such as the mean and the standard deviation. However, unlike an empirical distribution, a theoretical distribution is based on theory rather than on real data. The value of the theoretical normal distribution lies in the fact that many empirical distributions that we study seem to approximate it. We can often learn a lot about the characteristics of these empirical distributions based on our knowledge of the theoretical normal distribution.
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