Introduction to Descriptive statistics

On working with the descriptive statistics assignment help and descriptive statistics homework help sections, students are expected to have grasped the fundamental knowledge of Descriptive statistics. The   discussed below should provide the students with assistance in dealing with the descriptive statistics assignment help and descriptive statistics homework help sections for this topic.

What are the uses of Descriptive statistics?

Descriptive statistics is used for describing the basic features of the data considered in a statistical study. They facilitate providing a simple summary of the sample data and the measures. Along with other simple graphical analysis, they form the basis in almost all the facets of quantitative analysis of the data.

Descriptive statistics are summarized and descriptive coefficients of a given data set. which can be either a representation of the entire population or a sample of it. Descriptive statistics are typically broken down into the different measures of central tendency and the measures of variation. Measures of central tendency comprise of the mean, median and mode, whereas the measures of variability consist of standard deviation and variances skewness and kurtosis.

Descriptive Statistics vs Inferential Statistics

Descriptive statistics are typically different when compared to inferential statistics. By using descriptive statistics, an analyst can easily describe what the data represents. With the use of inferential statistics, it is possible to try to reach conclusions which extend beyond the immediate data sets. For example, when we use inferential statistics for trying to infer from a sample data about one of the attributes of the population. We can also use inferential statistics in order to make judgments about the probability of an observed difference between two or more groups. Hence, it can safely be said that we use inferential statistics for making inferences from our data to a general scenario. Descriptive statistics, on the other hand, is used to describing the observations in a data set.

Discuss some instances of Descriptive Statistics

One of the many uses of descriptive Statistics is for presenting quantitative statistical descriptions in a manageable form. When performing a research study, there may be lots of measures involved in the research. Alternatively, we may also measure a large number of people on any of their attributes. Descriptive statistics allows us to represent a large amount of data in a meaningful manner. Let us look at one of the simplest forms of descriptive statistics. In sports, we consider the average of a batsman as an indicator of his gameplay. This batting average is a number computed from the player’s performance. Based on this statistic, we can place emphasis on the batsman’s present performance. This single number describes a number of other discrete events in the game. Likewise, with respect to the GPA of a student, this single number describes, in general, the performance of a student across a wide range of curriculum.

With each and every effort taken to describe a large data set with a single indicator, there is a possibility of distorting the original data or even worse losing out on important details. Based on the above example, we can say that GPA does not provide the information on the difficulty of the courses the student was in. There is also no information about courses in their major field or in other disciplines. Irrespective of these drawbacks, descriptive statistics still provide analysts with an intensive summary which may enable easy comparisons between different data sets and observations.

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