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Lecture 1 Topic 1A - Presentations of selective information and Descriptive Statistics (Chapters 1 - 3, TB) commit words: Inferential statistics; commonwealth; Sample; Types of data; frequency; Sample Mean; existence Mean; Sample discrepancy; Population Variance; Quartiles; sort out data; Ungrouped data. __________________________________________________ Statistics The term statistics in every day liveness refers to numerical facts or data. The ethereal orbit of Statistics is much broader. It involves: 1) description of problem 2) data (primary or secondary) assembly 3) data exhibit ( employ charts, tables etc.) 4) data epitome (using statistical techniques) 5) data variation (report writing, discussion etc.) 6) model crook (mathematical models) Two key concepts in statistics: (1) A population is the collection of all items (individuals, plants, products etc) of interest in a particular study. Examples: (2) A specimen is a fortune or part of the population selected to represent the whole population. Examples: Having cool the prerequisite data, the next ill-use 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 catch and effective way; and (2) inferential 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 different statistical softw atomic number 18 packages, e.g., Microsoft Excel. 2. Types of data (1) musical interval (Quantitative or Numerical): These data are real numbers, i.e., numerical determine for which the mathematical operations of +, -, x and / are meaningful. These numerical determine can be each counts (discrete) or measurements (continuous). Ratio-level data:...If you deficiency to get a respectable essay, order it on our website: Orderessay

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