Exploring Measures of Central Tendency
In this presentation, we delve into the fundamental concept of Measures of Central Tendency. These statistical tools - Mean, Median, and Mode - are at the heart of data analysis, guiding us to understand where the center of our data lies.
We explore each measure's definition and its unique role in analyzing data. Learn when to wisely apply mean, median, or mode based on your data's distribution. Discover the real-life applications that make these concepts crucial in various industries.
By grasping the significance of central tendency, you'll be better equipped to make informed decisions and draw meaningful conclusions from your data. Join the discussion and deepen your understanding of these fundamental statistical tools.
Consumer behaviour is the study of individuals, groups, or organisations and all the activities associated with the purchase, use and disposal of goods and services. Consumer behaviour consists of how the consumer's emotions, attitudes, and preferences affect buying behaviour.
Business economics is a field of applied economics that studies the financial, organizational, market-related, and environmental issues faced by corporations.
Exploring Measures of Central Tendency
In this presentation, we delve into the fundamental concept of Measures of Central Tendency. These statistical tools - Mean, Median, and Mode - are at the heart of data analysis, guiding us to understand where the center of our data lies.
We explore each measure's definition and its unique role in analyzing data. Learn when to wisely apply mean, median, or mode based on your data's distribution. Discover the real-life applications that make these concepts crucial in various industries.
By grasping the significance of central tendency, you'll be better equipped to make informed decisions and draw meaningful conclusions from your data. Join the discussion and deepen your understanding of these fundamental statistical tools.
Consumer behaviour is the study of individuals, groups, or organisations and all the activities associated with the purchase, use and disposal of goods and services. Consumer behaviour consists of how the consumer's emotions, attitudes, and preferences affect buying behaviour.
Business economics is a field of applied economics that studies the financial, organizational, market-related, and environmental issues faced by corporations.
ETL—which stands for extract, transform, load—is a long-standing data integration process used to combine data from multiple sources into a single, consistent data set for loading into a data warehouse, data lake or other target system.
The Elliott Wave Theory in technical analysis describes price movements in the financial market. Developed by Ralph Nelson Elliott, it observes recurring fractal wave patterns identified in stock price movements and consumer behavior. Investors who profit from a market trend are described as riding a wave
Mean: The arithmetic average of a set of values.
Median: The middle value of a data set when it is ordered.
Mode: The value that appears most frequently in a data set.
Variability refers to how spread scores are in a distribution out; that is, it refers to the amount of spread of the scores around the mean. For example, distributions with the same mean can have different amounts of variability or dispersion.
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The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
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• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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Descriptive Statistics.kjc.ppt
1. Descriptive Statistics
21COM2T412: Business Statistics
Dr. Neerupa Chauhan
Asst. Professor
Kristu Jayanti College, Autonomous
(Reaccredited A++ Grade by NAAC with CGPA 3.78/4)
Bengaluru – 560077, India
2. Descriptive Statistics
Statistics used to describe and interpret
sample data.
Results are not really meant to apply to other
samples or to the larger population
• Frequency Distribution
• Central Tendency (Mean, Median, Mode)
• Percentile Values
3. Inferential Statistics
Statistics used to make inference about
the population from which the sample
was drawn.
Correlation
T-test
ANOVA (Analysis of Variance)
Regression
4. Population vs. Sample
Population: A large group of people to
which we are interested in generalizing.
‘parameter’
Sample: A smaller group drawn from a
population.
‘statistic’
5. Measures of Central Tendency
Statistics that identify where the center or
middle of the set of scores are.
Mode : Most frequently occurring scores.
Median : the 50th percentile, the second quartile
Mean : Arithmetic means, average, Add all the
scores and divide by the number of scores.
6. Which central tendency to use?
Depends on :
• The level of measurement of the data.
2. The shape of the score distribution.
(Skewness)
7. Level of Measurement
Nominal: Categorical scale
e.g. Male/Female, Blue eye/Brown eye/Green eye
Ordinal: Ranking scale
(Differences between the ranks need not be equal)
e.g. Scored highest (100 pts), middle (85 pts), lowest (20 pts)
Interval: The distance between any two adjacent units of
measurement (intervals) is the same but there is no
meaningful zero point.
e.g. Fahrenheit temperature
Ratio: The distance between any two adjacent units of
measurement is the same and there is a true zero point.
e.g. Height measurement, Weight measurement
8. Which central tendency to use?
1. The level of measurement of the data.
Mode---Nominal, Ordinal, Interval or Ratio
Median--- Ordinal, Interval, or Ratio
Mean---Interval or Ratio
9. Shape of the distribution:
Skewness
A measure of the lack of symmetry, or the
lopsidedness of a distribution. (> or < 2)
Use “median”
10. Shape of Distribution: Kurtosis
Leptokurtic Mesokurtic
(Normal Distribution)
Platykurtic
How flat or peaked a distribution appears.
(Does not affect the central tendency)
11. Shape of the distribution:
unimodal, bimodal
Bimodal --- 2 Modes
Mode is not a good indicator of the central
tendency.
12. Which central tendency to use?
Symmetric, unimodal, Normal distribution ---
Mode, Median, Mean all the same.
Skewed --- use the Median.
Bimodal --- do not use the Mode.