This document defines and provides examples of statistical terms including accuracy, precision, mean, median, mode, and range. Accuracy refers to how close a measurement is to the true value, while precision refers to how close repeated measurements are to each other. The mean is calculated by adding all values and dividing by the total. The median is the middle value of a sorted data set. The mode is the most frequent value. Range is the difference between the highest and lowest values. Examples are given for each term to illustrate their definitions.
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
Mesure of central of tendacy in biostatistics and dispresion on epidomology studie in healthcare facility include mean,mode,variance,standard deviation,range and their calculation and uses in biostastics
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Chapter 3: Describing, Exploring, and Comparing Data
3.1: Measures of Center
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4. Accuracy
❖ Is The closeness value of the Experimental Value to the
True value is Called Accuracy.
❖ Example of Accuracy
❖ Who is more accurate when a measuring a book that has
a true length of 17.0 cm,?
❖ Susan
❖ 17.0 cm,16.0 cm, 18.0, cm,15.0 cm,
5. Precision
❖ Precision is the closeness of the measurement from one
another is called precision
❖ Examples of Precision
❖ Set 1 18.2, 18.4, 18.35
❖ Example 2
❖ 15.5 cm, 15.0 cm, 15.2 cm, 15.3 cm
7. Mean
❖ The "Mean" is computed by adding all of
the numbers in the data together and
dividing by the number elements
contained in the data set.
❖ Example
❖
Data Set = 2, 5, 9, 3, 5, 4, 7
Number of Elements in Data Set = 7
Mean = ( 2 + 5 + 9 + 7 + 5 + 4 + 3 )
Mean= 35/7=5
8. Median : (middle)
❖ Median : (middle)
The "Median" of a data set is dependent on
whether the number of elements in the data set
is odd or even.
First reorder the data set from the smallest to
the largest
Mark off high and low values until you reach the
middle .
9. Example of Median
❖ Examples : Odd Number of Elements
Data Set = 2, 5, 9, 3, 5, 4, 7
Reordered = 2, 3, 4, 5, 5, 7, 9
Median = 5
10. Example: Even Number of Elements
❖ Example : Even Number of Elements
Data Set = 2, 5, 9, 3, 5, 4
Reordered = 2, 3, 4, 5, 5, 9
Median = ( 4 + 5 ) 9/ 2 = 4.5
11. Mode : (most often)
❖ The "Mode" for a data set is the element
that occurs the most often.
It is not uncommon for a data set to have
more than one mode.
This happens when two or more elements
occur with equal frequency in the data set.
❖ Examples of Mode:
❖ Data Set = 2, 5, 9, 3, 5, 4, 7
Mode = 5
Example:
Data Set = 2, 5, 2, 3, 5, 4, 7
Modes = 2 and 5
12. Range
❖ The "Range" for a data set is the
difference between the largest value and
smallest value contained in the data set.
❖
First reorder the data set from smallest to
largest then subtract the first element
from the last element.
13. Example of Range
❖ Data Set = 2, 5, 9, 3, 5, 4, 7
Reordered = 2, 3, 4, 5, 5, 7, 9
Range = ( 9 - 2 ) = 7