Principles Of Biostatistics
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Principles of Biostatistics
[Date of Submission]
Principles of Biostatistics
Case Study No. 1
Answer No. 1
The given data is quantitative as it is comprised of numbers or numeric values indicating the number of patient visits per week at a dentist's office over a ten-week period, which is countable and measurable in nature. To further describe this data, the measures of central tendency, measures of location and the measures of spread / dispersion can be calculated, as part of the data's descriptive statistics.
Answer No. 2
Mean = = 97.8
Median = M = = 98
Answer No. 3
1st Quartile = 87.75
3rd Quartile = 108
Answer No. 4
Graphical presentation is the most useful and a convenient method to describe and represent a particular data. For the given data the best graphical presentation that can best describe it would be a bar graph. This is because it helps in the easy identification of the smallest and largest measurement and helps in understanding the data trends as well (1).
Case Study No. 2
Answer No. 1
The given data represents a sample showing the number of hurricanes that struck the continental United States each decade during the twentieth century. This data should be considered as a sample because it represents a subset of a larger group or the total population that has been selected for further study (2).
Answer No. 2
Definition of Measures of Central Tendency / Location
The measure of central tendency / location of a particular data represent a typical or central entry in a data set. The three most commonly used measures of central tendency include the mean, median, and the mode. The measure of these values indicates the tendency of values in the data to gather around a central or 'average' value which is typical of that particular data.
The measures of Central Tendency / Location of a particular data include the calculation of its mean, median and the mode. The mean represents the average value, while the median is that value which lies in the middle of the data when the data set is ordered. The mode of a data is that value which occurs most frequently in that particular data set (3).
Definition of Measures of Dispersion / Spread / Variation
The measures of dispersion, also known as the measures of spread or variation, represent the stretch or changeability of a distinct data set. These measures indicate how far the given sets of numbers, included in the data can spread out (the extent to which the values are spread out within a particular distribution) (3).
The measures of central tendency of a particular data include the range, variance and the standard deviation. The range represents the simplest measure of dispersion and is characterized by the difference between the highest-valued data, denoted by H, and the lowest-valued data, which is denoted by L. It is considered to be the distance that lies between the lowest data point and the highest data point. The variance of a data on the other hand, is the measure of the average distance between ...