Descriptive Statistics: Types of Descriptive Statistics and it Importance

Dec 22, 2023Download as pptx, pdf0 likes402 views

Descriptive statistics is a branch of statistics that involves summarizing, organizing, and presenting data in a meaningful way. It focuses on describing and analyzing a dataset’s main features and characteristics without making any generalizations or inferences to a larger population. There are four types of Descriptive Statistics 1. Measure Central Tendency 2. Measures of Variability 3. Measure of Distribution/Frequency Distribution 4. Measure of Position

Descriptive
Statistics
Descriptive
Statistics
Types of Descriptive
Statistics
Dr Muhammad Yousuf Ali
PhD (Library & Information Science)
Scholarly Communication Consultant
©
Measure Central
Tendency
Measures of
Variability
Measure of Frequency
Distribution
Measure of
Position
Importance of
Descriptive Statistics

Descriptive
Statistics
Descriptive statistics is a branch of
statistics that involves summarizing,
organizing, and presenting data in a
meaningful way.
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher

Descriptive
Statistics
Types of Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Measure
Central
Tendency
Measures of
Variability
Measure of
Frequency
Distribution
Measure of
Position

Measure
Central
Tendency
Types of Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Measures of central tendency focus on
the average or middle values of data
sets, whereas measures of variability
focus on the dispersion of data.

Measure Central
Tendency
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
There are three measure
Central Tendency known as
Mean, Median, Mode.

Measure of
Frequency
Distribution
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
The Distribution (or frequency
distribution) refers to the quantity of
times a data point occurs.
Alternatively, it is the measurement
of a data point failing to occur.

Measure of
Frequency
Distribution
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Frequency Distribution measure through
Count, Frequency and Percentage

Measures of
Variability
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Measures of variability (or the
measures of spread) aid in
analysing how dispersed the
distribution is for a set of data.

Measure of
Position
Types of Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
The measure of position determine
through Percentile Ranks, Quartile Ranks

Measure of
Position
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
The measure of position determine
through Percentile Ranks, Quartile Ranks

Importance of
Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Descriptive statistics is important
because organized raw data.

Importance of
Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Descriptive statistics enables us to
present the data in a more
meaningful way.

Importance of
Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Descriptive statistics represent the
data visualization shape like
Tables, Graph, table, Chart and etc.

Importance of
Descriptive
Statistics
Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher
Descriptive statistics presents in
very simple form so a lay man can
easily understand the data.

This document discusses various statistical methods used to organize and interpret data. It describes descriptive statistics, which summarize and simplify data through measures of central tendency like mean, median, and mode, and measures of variability like range and standard deviation. Frequency distributions are presented through tables, graphs, and other visual displays to organize raw data into meaningful categories.

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Process Mining and Official Statistics - CBSProcess mining Evangelist

Johan Lammers from Statistics Netherlands has been a business analyst and statistical researcher for almost 30 years. In their business, processes have two faces: You can produce statistics about processes and processes are needed to produce statistics. As a government-funded office, the efficiency and the effectiveness of their processes is important to spend that public money well. Johan takes us on a journey of how official statistics are made. One way to study dynamics in statistics is to take snapshots of data over time. A special way is the panel survey, where a group of cases is followed over time. He shows how process mining could test certain hypotheses much faster compared to statistical tools like SPSS.

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Suncorp - Integrating Process Mining at Australia's Largest InsurerProcess mining Evangelist

Mitchell Cunningham is a process analyst with experience across the business process management lifecycle. He has a particular interest in process performance measurement and the integration of process performance data into existing process management methodologies. Suncorp has an established BPM team and a single claims-processing IT platform. They have been integrating process mining into their process management methodology at a range of points across the process lifecycle. They have also explored connecting process mining results to service process outcome measures, like customer satisfaction. Mitch gives an overview of the key successes, challenges and lessons learned.

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Process Mining at Rabobank - Organizational challengesProcess mining Evangelist

Frank van Geffen is a Business Analyst at the Rabobank in the Netherlands. The first time Frank encountered Process Mining was in 2002, when he graduated on a method called communication diagnosis. He stumbled upon the topic again in 2008 and was amazed by the possibilities. Frank shares his experiences after applying process mining in various projects at the bank. He thinks that process mining is most interesting for the Process manager / Process owner (accountable for all aspects of the complete end to end process), the Process Analyst (responsible for performing the process mining analysis), the Process Auditor (responsible for auditing processes), and the IT department (responsible for development/aquisition, delivery and maintanance of the process mining software).

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Customer Segmentation using K-Means clusteringIngrid Nyakerario

This project demonstrates the application of machine learning—specifically K-Means Clustering—to segment customers based on behavioral and demographic data. The objective is to identify distinct customer groups to enable targeted marketing strategies and personalized customer engagement. The presentation walks through: Data preprocessing and exploratory data analysis (EDA) Feature scaling and dimensionality reduction K-Means clustering and silhouette analysis Insights and business recommendations from each customer segment This work showcases practical data science skills applied to a real-world business problem, using Python and visualization tools to generate actionable insights for decision-makers.

Deloitte Analytics - Applying Process Mining in an audit contextProcess mining Evangelist

Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation. Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.

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Descriptive Statistics: Types of Descriptive Statistics and it Importance

1. Descriptive Statistics Descriptive Statistics Types of Descriptive Statistics Dr Muhammad Yousuf Ali PhD (Library & Information Science) Scholarly Communication Consultant © Measure Central Tendency Measures of Variability Measure of Frequency Distribution Measure of Position Importance of Descriptive Statistics

2. Descriptive Statistics Descriptive statistics is a branch of statistics that involves summarizing, organizing, and presenting data in a meaningful way. Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher

3. Descriptive Statistics Types of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Measure Central Tendency Measures of Variability Measure of Frequency Distribution Measure of Position

4. Measure Central Tendency Types of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Measures of central tendency focus on the average or middle values of data sets, whereas measures of variability focus on the dispersion of data.

5. Measure Central Tendency Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher There are three measure Central Tendency known as Mean, Median, Mode.

6. Measure of Frequency Distribution Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher The Distribution (or frequency distribution) refers to the quantity of times a data point occurs. Alternatively, it is the measurement of a data point failing to occur.

7. Measure of Frequency Distribution Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Frequency Distribution measure through Count, Frequency and Percentage

8. Measures of Variability Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Measures of variability (or the measures of spread) aid in analysing how dispersed the distribution is for a set of data.

9. Measures of Variability Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Measures of variability (or the measures of spread) are measured through Range, Variance, Standard Deviation.

10. Measure of Position Types of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher The measure of position determine through Percentile Ranks, Quartile Ranks

11. Measure of Position Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher The measure of position determine through Percentile Ranks, Quartile Ranks

12. Importance of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Descriptive statistics is important because organized raw data.

13. Importance of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Descriptive statistics enables us to present the data in a more meaningful way.

14. Importance of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Descriptive statistics represent the data visualization shape like Tables, Graph, table, Chart and etc.

15. Importance of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Descriptive statistics presents in very simple form so a lay man can easily understand the data.

16. Importance of Descriptive Statistics Dr Muhammad Yousuf Ali, PhD Scholarly Communication Consultant ©, Researcher Descriptive statistics is very helpful to understand the characteristics of research population or sample.

17. Descriptive Statistics Connect me Muhammad Yousuf Ali [Twitter]: @iam_usuf Facebook: https://www.facebook.com/muhammad.yousuf.7524 Google Scholar : https://scholar.google.com/citations?user=aUSK_kIAAAAJ&hl=en ResearchGate: https://researchgate.net/profile/Muhammad_Ali118 Website http://profileusuf.wordpress.com YouTube 5minutes Information Channel https://www.youtube.com/c/MuhammadYousufAli E-mail : usuf12@gmail.com

Descriptive Statistics: Types of Descriptive Statistics and it Importance

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Descriptive Statistics: Types of Descriptive Statistics and it Importance