# Difference Between Descriptive And Inferential Statistics Pdf

Consider a simple example of descriptive statistics. Any group of data like this, which includes all the data you are interested in, is called a population.

The range, standard deviation, variance, percentiles and quartile ranges, and coefficient of variation are measures of dispersion. Descriptive statistics describes a situation while inferential statistics explains the likelihood of the occurrence of an event. If the statement is rejected, a contradictory statement to the null hypothesis, called an alternative hypothesis, is taken into consideration. Median is the middle value in the data set.

Referring back to our earlier example about teenage pregnancies, descriptive statistics is only restricted to the population being described. Moreover, the text is presented in support of the diagrams, to explain what they represent. Leave a Reply Cancel reply. They are simply a way to describe our data. If the sample is biased, then the results are also biased, and the parameters based on these do not represent the whole population correctly.

Share facts or photos of intriguing scientific phenomena. The process of achieving this is called sampling sampling strategies are discussed in detail here on our sister site. Very easy language to understand.

For the sake of convenience, a smaller sample of the population is considered, results are drawn, and the analysis is extended to the larger data set. 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. Hypothesis Testing It is an assumed analysis of a sample.

Calculating Percent Difference. Liked our answer on the difference between descriptive and inferential statistics? If you look closely, telecharger bareme irg 2008 algerie pdf the difference between descriptive and inferential statistics is already pretty obvious in their given names.

## Descriptive vs. Inferential Statistics

Consider a country's population. Frequency distribution and relative frequency distribution histograms are such representations.

It helps you observe and analyze a sample of the data. Statistic results are often shown through various models, from graphs to charts. Measures of spread are often visually represented in tables, pie and bar charts, and histograms to aid in the understanding of the trends within the data.

The null hypothesis statement is an important statistical procedure that is used to define the relationship between two quantities. However, some students get confused between descriptive and inferential statistics, making it hard for them to select the best option to use in their research. Descriptive statistics explains the data, which is already known, to summarise sample. Confidence Interval It measures one sample and gives a range of values for an unknown population parameter. Standard deviation is the square root of variance. It is, therefore, important that the sample accurately represents the population. And, mode is the number that appears most often in the set. This information is called data.

Statistics is a major branch of mathematics and deals with the study, classification, analysis, and representation of data. We would also be interested in the distribution or spread of the marks. For example, launching inferential statistics on the rate of population growth in a particular city could serve as a basis for a business to decide whether or not to set up shop in that city. It is just a way to organize and describe data in a useful manner. Chemistry in Everyday Life.

In this case, the frequency distribution is simply the distribution and pattern of marks scored by the students from the lowest to the highest. Inferential statistics focus on how to generalize the statistics obtained from a sample as accurately as possible to represent the population. Assume that you want to find out if the citizens in a state like a particular author. Having an approximate confidence interval for a set of data helps you draw conclusions about the reliability of results, especially in surveys. Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. We have seen that descriptive statistics provide information about our immediate group of data. On the other end, Inferential statistics is used to make the generalisation about the population based on the samples. Conclusions as well as predictions are only done in inferential statistics. Inferential statistics usually takes a sample of a population, especially if the population is too large to conduct research on.

## Descriptive Statistics 