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Lecture 1 Topic 1A - Presentations of information and Descriptive Statistics (Chapters 1 - 3, TB) appoint words: Inferential statistics; Population; examine; Types of entropy; oftenness; Sample Mean; Population Mean; Sample variability; Population Variance; Quartiles; Grouped information; Ungrouped data. __________________________________________________ Statistics The call statistics in every day life refers to numerical facts or data. The celestial orbit of Statistics is much broader. It involves: 1) definition of problem 2) data (primary or secondary) aggregation 3) data exhibit (using charts, tables etc.) 4) data compend (using statistical techniques) 5) data interpretation (report writing, discussion etc.) 6) model manifestation (mathematical models) Two key concepts in statistics: (1) A tribe is the collection of all items (individuals, plants, produ cts etc) of interest in a particular study. Examples: (2) A sample is a portion or part of the population selected to represent the whole population. Examples: Having collected the prerequisite data, the next yard is to analyse the data using capable statistical techniques.

thither atomic number 18 two kinds of statistics: (1) descriptive statistics consists of methods for organizing and summarizing data in a clear and effective way; and (2) illative statistics consists of methods of drawing conclusions about a population based on information obtained from a sample of the population. Many of the statistical techniques discussed in ! the subject can be completed using polar statistical software packages, e.g., Microsoft Excel. 2. Types of data (1) Interval (Quantitative or Numerical): These data are real numbers, i.e., numerical values for which the mathematical trading operations of +, -, x and / are meaningful. These numerical values can be either counts (discrete) or measurements (continuous). Ratio-level data:...If you want to get a honest essay, order it on our website: BestEssayCheap.com

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