Types of Statistics Descriptive and Inferential Statistics
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Topic: Types of Statistics Descriptive and Inferential Statistics Student Name: Bushra Class: B.Ed. 2.5 Project Name: “Young Teachers' Professional Development (TPD)" "Project Founder: Prof. Dr. Amjad Ali Arain Faculty of Education, University of Sindh, Pakistan
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- 1. FACULTY OF EDUCATION OLD CAMPUS HYDERABAD ELSA QAZI CAMPUS UNIVERSITY OF SINDH NAME:BUSHRA SATTAR B.ED 2.5 morning Roll.11 Topic: Types of statistics Assigned BY:DR. AMJAD ALI ARAIN
- 2. CONTENT • Definition of statistics • Types of statistics 1. Descriptive statistics 2. Inferential statistics
- 3. Definition of statistics: • The term statistics refers to a set of mathematical procedures for organizing summarizing, and interpreting information. • Many studies generate large numbers of data points, and to make sense of all that data, researchers use statistics that Summarize the data, providing a better understanding of overall tendencies within the distributions of scores. • There are two types of statistics • Descriptive statistics • Inferential statistics
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- 5. Two ways of representing descriptive statistics: • Numerical statistics • Pictorial statistics Numerical statistics: Numerical statistics are numbers, but clearly, some numbers are more meaningful than others. For example: If you are offered a purchase price $1 for an auto mobile on the condition that you also buy a second auto mobile would be a major consideration (its price could be $1,000,000 or only $1,000), and thus, average-or-mean- of the two prices would be the important statistic.
- 6. Pictorial statistics: Taking numerical data and presenting it in picture or graphs is what is known as pictorial statistics. Showing data in the form of a graphic can make complex and confusing information appear more simple and straightforward. DEFICITION OF INFERENTIAL STATISTICS: Inferential statistics makes inferences and predications about population based on a sample of data taken from the population in question. Inferential statics is a decision, estimate, predication, or generalization about a population, based on sample. A population is a collection of all possible individual, objects, or measurements of interest. A sample is a portion ,or part, of population of interest.
- 7. CONT… With inferential statistics, we are trying to reach conclusion that extend beyond the immediate data alone. For instance , we use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study . Thus, we use inferential statistics to make inferences from our data to more general conditions, we use descriptive statistics simply to describe what's going on in our data .
- 8. Comparison between Descriptive statistics and Inferential statistic:
- 9. THANK YOU