**Business Statistics Code 1430 Assignment Solved Autumn 2016** is simply prepared for B.Com students. This assignment is for code 1430 Business Statistic for the B.Com level students. The Code 1430 assignment is fully solved in simple ways. All questions of this assignment of aiou code 1430 is now available in hard form. Solved assignment for Business Statistics is prepared by the expert tutors of aiou. These tutors are linked with aiou university for many years.

## CODE 1430 SOLVED ASSIGNMENT AIOU AUTUMN 2016

This assignment code 1430 is simply solved for aiou describes the descriptive statistics and inferential statistics. Here differentiation between these two explained in detail

Differentiating between descriptive statistics and inferential statistics

In today’s fast paced world, statistics is playing a major role in the field of research that helps in the collection, analysis and presentation of data in a measurable form. It is quite hard to identify, whether the research relies on descriptive statistics or inferential statistics, as people usually, lacks knowledge about these two branches of statistics. As the name suggests, descriptive statistics is one which describes the population. On the other end, inferential statistics is used to make the generalization about the population based on the samples. Some there is a big difference between descriptive and inferential statistics, i.e. what you do with your data.

### AIOU ASSIGNMENT CODE 1430 SOLVED FOR AUTUMN 2016

DESCRIPTIVE STATISTICS

Descriptive Statistics refers to a discipline that quantitatively describes the important characteristics of the data set. For the purpose of describing properties, it uses measures of central tendency, i.e. mean, median, mode and the measures of dispersion, i.e. range, standard deviation, quartile deviation and variance, etc. The data is summarized by the researcher, in a useful way, with the help of numerical and graphical tools such as charts, tables, and graphs, to represent data in a accurate way. Moreover, the text is presented in support of the diagrams, to explain what they represent.

INFERENTIAL STATISTICS

Inferential Statistics is all about generalizing from the sample to the population, i.e. the results of analysis of the sample can be deduced to the larger population, from which the sample is taken. It is a convenient way to draw conclusions about the population when it is not possible to query each and every member of the universe. The sample chosen is a representative of the entire population; therefore, it should contain important features of the population.

Inferential Statistics is used to determine the probability of properties of the population on the basis of the properties of the sample, by employing probability theory. The major inferential statistics are based on the statistical models such as analysis of Variance, Chi-square test, student’s T distribution, regression analysis, etc. Methods of inferential statistics:-

• Estimation of Parameters

• Testing of hypothesis

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