Descriptive statistics are used to describe the basic features of the data in a study. Descriptive statistics can summarize responses from large numbers of respondents in a few simple statistics. When a sample is obtained, the sample descriptive statistics are used to make inferences about characteristics of the entire population of interests. Descriptive analysis is the transformation of data in a way that describes the basic characteristics such as central tendency, distribution, and dispersion. In most situations, we would describe all three of these characteristics for each of the variables in our study. The central tendency of a distribution is an estimate of the "center" of a distribution of values. There are three major types of estimates of central tendency is mean, median and modes.
The mean would reflect the average answer that is given. To compute the mean all you do is add up all the values and divide by the number of values. The Median would provide the answer that is the central,
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There are two common measures of dispersion, the range and the standard deviation. The range is simply the highest value minus the lowest value. The Standard Deviation is a more accurate and detailed estimate of dispersion because an outlier can greatly exaggerate the range. The Standard Deviation shows the relation that set of scores has to the mean of the sample. The square root of the sum of the squared deviations from the mean divided by the number of scores minus one is the way to compute standard deviation. In the task 2b, hypothesis testing has been adopted and it define as an act in statistics whereby an analyst tests an assumption regarding a population parameter. The methodology employed by the analyst depends on the nature of the data used and the reason for the analysis. Hypothesis testing is used to infer the result of a hypothesis performed on sample data from a larger