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  DESCRIPTIVE STATISTICS Descriptive statistics are informational and help to summarise and describe the actual characteristics of the data set. Descriptive statistics has three (3) basic categories. 1.      Measure of central tendency (mean, mode, median) 2.      Measure of variability i.e. spread of the data set (variance, standard deviation) 3.      Measures of frequency distribution, count of occurrence of each value (count) To obtain descriptive statistics on your variables, the first step is to gather all relevant background information before conducting any statistical analyses. These descriptive statistics include the range, mean, standard deviation, skewness, and kurtosis.  The second step is to check whether any assumptions of the individual tests are not violated. Checking assumptions is a crucial step in many statistical procedures to ensure that the data meets the requirements for valid applicat...

  POPULATION AND SAMPLE A population is an entire group or complete set of individuals or elements about which some specific information is required or in other words something you want to draw a conclusion about. So far researchers are interested in answering general questions of interest such as: ·    Architects are interested in understanding the design preferences of all homeowners in a specific urban area. ·      Computer scientists are interested in exploring the efficiency of all algorithms used in a specific category of software applications. ·       Economists are interested in studying the spending habits of all households in a particular country. ·     Environmental scientists are interested in monitoring the pollution levels of all water bodies within a designated region. ·      Psychologists are looking for general rules about all people (how do people learn a language?) ...