Jul 21, 2017 Research papers

# Descriptive Statistics Part 1

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# Descriptive Statistics Part 1: Normal Curves, Variability

INSTRUCTIONS:

BHS 220-Discussion-Module 2 The normal curve is the shape that represents how variables are distributed, and it has some very interesting characteristics: a) the mean, the median, and the mode are all the same value; b) it is symmetrical about its midpoint, which means that the left and right halves of the curve are mirror images; and c) the tails of the curve get closer and closer to the X-axis but never touch it—the curve is asymptotic (Salkind, 2012). In fact, many inferential statistics are based on the assumption that the population distribution of variables from which samples are selected is normal in shape. From a practical standpoint, how likely is a healthcare professional conducting an informal study or program evaluation at their organization to achieve a “normal distribution curve”? In preparing your response, ensure that you properly in-text cite all sources used in the support of your stated positions and the example or examples you chose to utilize. The response needs to be a minimum of 250 words. Also, you will need to include the references at the end of your posting. References Salkind, N. J. (2012). Exploring research. (8th ed.). Upper Saddle River, NJ: Pearson

CONTENT:
BHS220-Mod2 DiscussionNameAffiliationIntroductionNormal distribution curve, which is also referred to as the Gaussian distribution, is a continuous theoretical frequency distribution representing a random variable whose mean mode and median are all equal and which is usually represented by using a normal curve. The normal curve is symmetrical about the middle point, and it implies the right and the left halves of such a curve appear l...

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