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Lecture 1 Topic 1A - Presentations of information and Descriptive Statistics (Chapters 1 - 3, TB) appoint words: Inferential statistics; Population; type; Types of information; oftenness; Sample Mean; Population Mean; Sample variability; Population Variance; Quartiles; Grouped entropy; Ungrouped data. __________________________________________________ Statistics The condition 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) compendium 3) data exhibit (using charts, tables etc.) 4) data summary (using statistical techniques) 5) data interpretation (report writing, discussion etc.) 6) model spin (mathematical models) Two key concepts in statistics: (1) A world is the collection of all items (individuals, plants, products 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 stair is to analyse the data using capable statistical techniques. in that location 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 distinguishable 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 operations of +, -, x and / are meaningful. These numerical v alues can be either counts (discrete) or me! asurements (continuous). Ratio-level data:...If you want to get a honest essay, order it on our website: BestEssayCheap.com

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