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Nội dung text 8. MEASURES DESCRIBING THE CENTRAL TENDENCY DISTRIBUTIONS- AVERAGE, MEDIAN, MODE.pdf

PHARMD GURU Page 1 INTRODUCTION: The word average is common to everybody. Average is a single figure which gives the complete picture of the phenomenon. For example, if we collect the data regarding heights of 2000 students of a school, we will not able to remember all 2000 numbers. So we calculate one single number known as average. Thus, it will be natural to expect that the representative should have closer to most of members of data. Hence, this representative is known as average and it lies more at the centre of the data due to which it is also known as central tendency. The main objective of calculating an average is to obtain a single number which will represent the whole data. Sometimes we need to compare one set of figures with another. Comparison of such bulky data is critical, so taking the average and comparison of data is made simpler and quicker. Taking an average is not the last stage of data analysis but it is starting point of calculations needed for further analysis. There are different types of averaging (Fig. 2.1) such as mean, median and mode. MEAN There are three types of means such as Arithmetic mean, Geometric mean and Harmonic mean. MEASURES DESCRIBING THE CENTRAL TENDENCY DISTRIBUTIONS- AVERAGE, MEDIAN, MODE
PHARMD GURU Page 2 ARITHMETIC MEAN: 1) INDIVIDUAL SERIES OR UNGROUPED DATA:
PHARMD GURU Page 3 2) DISCRETE SERIES OR UNGROUPED FREQUENCY DISTRIBUTION:
PHARMD GURU Page 4 3) CONTINUOUS SERIES (OR) GROUPED FREQUENCY DISTRIBUTION:

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