Stat

Lecture 1 Topic 1A - Presentations of information and Descriptive Statistics (Chapters 1 - 3, TB) advert words: Inferential statistics; commonwealth; Sample; Types of entropy; oftenness; Sample Mean; people Mean; Sample variableness; Population Variance; Quartiles; separate data; Ungrouped data. __________________________________________________ Statistics The term statistics in every day demeanor refers to numerical facts or data. The aery orbit of Statistics is much broader. It involves: 1) explanation of problem 2) data (primary or secondary) array 3) data exhibit ( victimisation charts, tables etc.) 4) data compendium (using statistical techniques) 5) data definition (report writing, discussion etc.) 6) model locution (mathematical models) Two key concepts in statistics: (1) A creation is the collection of all items (individuals, plants, products etc) of interest in a particular study. Examples: (2) A strain is a division or part of the population selected to represent the whole population. Examples: Having gathered the prerequisite data, the next footprint is to analyse the data using capable statistical techniques.

in that respect atomic number 18 two kinds of statistics: (1) descriptive statistics consists of methods for organizing and summarizing data in a crystallize 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 diametric 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 value can be any counts (discrete) or measurements (continuous). Ratio-level data:...If you compliments to get a impartial essay, order it on our website: Ordercustompaper.com

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