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Summary of Statistics

Statistics is defined as the science of counting and the study of estimates and probabilities. It is utilized by various professionals including marketers, politicians, and accountants, and involves descriptive and inferential methods of data analysis. The document also outlines types of data, variables, levels of measurement, and the role of statisticians in data management.

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Mohamed Iman
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22 views3 pages

Summary of Statistics

Statistics is defined as the science of counting and the study of estimates and probabilities. It is utilized by various professionals including marketers, politicians, and accountants, and involves descriptive and inferential methods of data analysis. The document also outlines types of data, variables, levels of measurement, and the role of statisticians in data management.

Uploaded by

Mohamed Iman
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Summary of Statistics

1. Define Statistics?
✓ Statistics is the science of counting.
✓ Statistics is Science of estimates and probabilities.

2. Who Uses Statistics?


Marketers
Politicians
Accountants
Hospitals

3. List Types of Statistics?


Descriptive: Method of Collecting, Organizing, Presenting and Analyzing Data.
Inferential: Science of Making Inferences about a population, based on sample
information.

4. List Types of Data?


Constant
Variable

5. List Types of Variable?


Qualitative: Represented by a name, Symbol, Or a Number Code.
Quantitative: Is Data About Numeric Variable.
EXAMPLE
6. What Role of Statisticians?
Design
Conduct
Analysis And
Reporting in terms of controlling.

7. Why Study Statistics?


Data are Everywhere
To Become Better Consumers and Citizens.

8. What is Level of Measurement?


The Level of Measurement is about how each variable is measured

9. How Many Types Are Classified Level of Measurement?


There Are Four Types of Level of Measurement: -
Nominal: Grouping (e.g. Color, Names,)
Ordinal: Order (e.g. Education Level, Ranked 100,200,300 Etc.)
Interval: Equal Intervals (e.g. Temperature)
Ratio: Meaningful Zero (e.g. Price, Height, Weight, Age, Percentages)
EXAMPLE

10. How Many Types Are Classified Quantitative?


Discrete: Can Only Assume Certain Values (e.g. Number of Bedrooms, Number of
Students of Class)
Continuous: Can Only Assume Any Value Within a Specified Range (e.g. Wind Speed,
Pressure In a tire, Height of Students in a class)

MOHAMUDY

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