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Q Please answer each/all of the following five (5) questions (2 points each, 10 points total): 1. What are the advantages to using the mean as a measure for central tendency? What about disadvantages? 2. What is the normal distribution/curve, and why is it important to understand? 3. Discuss how to identify skewed distributions. How can you tell if it is positively or negatively skewed? What does the skew tell you about the data distribution? How can the median and mean can be used to determine the shape of a distribution? 4. Discuss the standard deviation. What does taking the square root transformation of the variance do? Why is this calculation important? How does the standard deviation relate to the normal curve? 5. Discuss how to identify kurtosis in distributions. How can you tell if a distribution suffers from platykurtosis or leptokurtosis? What does the kurtosis tell you about the data dispersion?

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1) A measure for the central tendency is to describe data by using one value or number, this statistical explanation tries to evaluate any individual value to explain the data, which is used to point out the central position of any data under lots of data (Graduatetutor.com., 2021). This individual number or value tries to explain any particular date from many other data because maximum data tend to make a bunch around the central point (Graduatetutor.com., 2021). This measure of central tendency is based on mainly three measures, such as, mean, median, and mode.

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