This document discusses key concepts and definitions related to hypothesis testing in statistics. It defines population and sample, parameters and statistics, and the standard error of an estimator. It explains the concepts of the null hypothesis (H0) and alternative hypothesis (H1), critical regions, type I and II errors, and the level of significance. It also defines one-sided and two-sided tests, and the p-value used in hypothesis testing. The document provides examples to illustrate these statistical concepts.
Basics of Hypothesis testing for PharmacyParag Shah
This presentation will clarify all basic concepts and terms of hypothesis testing. It will also help you to decide correct Parametric & Non-Parametric test for your data
Basics of Hypothesis testing for PharmacyParag Shah
This presentation will clarify all basic concepts and terms of hypothesis testing. It will also help you to decide correct Parametric & Non-Parametric test for your data
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 8: Hypothesis Testing
8.1: Basics of Hypothesis Testing
Hypothesis Testing is a kind of data testing used in marketing research.
It helps you to test the give data to gain proper insights about it.
Check errors if there and rectify it.
Testing of hypothesis - large sample testParag Shah
Different type of test which are used for large sample has been included in this presentation. Steps for each test and a case study is included for concept clarity and practice.
-Hypotheses
-What is Hypothesis testing
-Basic Concepts in Hypotheses Testing (in detail)
~Alternate Hypothesis
~Level of Significance
~Critical Region
~Decision Rule(Test of Hypothesis)
~Type I Error & Type II Error
~Power of Test
~One Tailed & Two Tailed Test
~One Sample & Two Sample Tests
` Types of Hypotheses
` Steps in Hypotheses Testing
~Parametric & Non Parametric Tests
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 8: Hypothesis Testing
8.1: Basics of Hypothesis Testing
Hypothesis Testing is a kind of data testing used in marketing research.
It helps you to test the give data to gain proper insights about it.
Check errors if there and rectify it.
Testing of hypothesis - large sample testParag Shah
Different type of test which are used for large sample has been included in this presentation. Steps for each test and a case study is included for concept clarity and practice.
-Hypotheses
-What is Hypothesis testing
-Basic Concepts in Hypotheses Testing (in detail)
~Alternate Hypothesis
~Level of Significance
~Critical Region
~Decision Rule(Test of Hypothesis)
~Type I Error & Type II Error
~Power of Test
~One Tailed & Two Tailed Test
~One Sample & Two Sample Tests
` Types of Hypotheses
` Steps in Hypotheses Testing
~Parametric & Non Parametric Tests
Prof. Shriram Kargaonkar (Asst. Prof . & HOD Statistics Department) explained the concept of Population and Sample in the very simple way. (YouTube Video Link - https://youtu.be/r0ovqPw7624?t=18
Email- snkargaonkar@mitacsc.ac.in
LIKE SHARE & SUBSCRIBE YT Channel - https://www.youtube.com/channel/UC9QIMhC3OioapZDXgsPvnAw
Prof. Shriram Kargaonkar (Asst. Prof . & HOD Statistics Department) explained the concept of Population and Sample in the very simple way. (YouTube Video Link - https://youtu.be/Ssq73FdUijU
Email- snkargaonkar@mitacsc.ac.in
LIKE SHARE & SUBSCRIBE YT Channel - https://www.youtube.com/channel/UC9QIMhC3OioapZDXgsPvnAw
Prof. Shriram Kargaonkar (Asst. Prof . & HOD Statistics Department) explained the Concepts Relating to Testing of Hypothesis in the very simple way. (YouTube Video Link - https://youtu.be/Ssq73FdUijU
Email- snkargaonkar@mitacsc.ac.in
LIKE SHARE & SUBSCRIBE YT Channel - https://www.youtube.com/channel/UC9QIMhC3OioapZDXgsPvnAw
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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!
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
PPT Concepts Relating to Testing of Hypothesis.pptx
1. Savitribai Phule Pune University, Pune
FYBSc (CS)
Paper – II : Continuous Probability Distribution and Testing of Hypothesis (CPDTH)
TOPIC- Concepts and Definitions Relating to Testing of
Hypotheses.
By,
Prof. Shriram Kargaonkar
Asst. Prof. & HOD, Department of Statistics,
NSS Program Officer and Unnat Bharat Abhiyan Coordinator,
MAEER’s MITACSC Alandi, Pune- 412105
Email – snkargaonkar@mitacsc.ac.in
Mobile- 9762003712
2. Introduction
• In Statistics, hypothesis testing refers to analyzing an
assumption about a population parameter.
• It is used to make an educated guess about an
assumption using statistics.
• With the use of sample data, hypothesis testing makes an
assumption about how true the assumption is for the
entire population from where the sample is being taken.
• Any hypothetical statement we make may or may not be
valid, and it is then our responsibility to provide evidence
for its possibility.
In this lecture, I will teach you important definitions relating
to testing of hypothesis.
3. Important Definitions
1. Population and Sample
2. Parameter and Statistics
3. Standard error of estimator.
4. Concept of null hypothesis and alternative hypothesis
(Research hypothesis)
5. Critical region,
6. type I and type II error,
7. level of significance,
8. one sided and two sided tests,
9. Test of hypothesis,
10. p-value.
4. Population and Sample
Population is the colletion of all objects under study OR
It is the totality of all objects under study.
Sample is the representative part of the entire population.
It possess all the characteristics of the population
5. Parameter and Statistic
Parameter:
It is the Statistical measure based on entire population
Information about the population
A population value
The “truth”
Statistic
It is the Statistical measure based on sample observations only.
An estimate of the population value
10. Examples of H0 and H1
Ex 1) Statement/Claim: Average marks of students in a class is 58 out of 100.
Null Hypothesis H0: μ = 58 Against
Alternative Hypothesis H1: μ ≠ 58 OR
H1: μ < 58 OR
H1: μ > 58
Ex 2) Statement/Claim: Cities A & B have proportions of Coffee Consumers .
Null Hypothesis H0: P1 = P2 Against
Alternative Hypothesis H1: P1 ≠ P2 OR
H1: P1 < P2 OR
H1: P1 > P2
11. Critical region
In the testing of hypotheses, the
set of all possible outcomes of a
statistical test is divided into two
region viz. Rejection Region
(Critical Region) & Acceptance
region.
Critical Region or Rejection region
is the set of outcomes of a
statistical test for which the null
hypothesis is to be rejected i.e
The common decision for these
set of values is to REJECT H0.
Acceptance region is the set of
outcomes of a statistical test for
which the null hypothesis is to be
accepted.
12.
13. Type I and Type II error
Type II Error
Reject H0, when H0 is true.
Consumer’s Risk
Type I Error
Reject H0, when H0 is true.
Producer’s risk
14. level of significance (α %)
It is defined as the fixed probability of rejecting null hypothesis (H0)
when, it is true.
Thus, level of significance = P[Type I Error]
= P[Reject H0 | H0 True]
It is denoted by α.
The level of significance is the measurement of the statistical
significance.
Usually, α is taken as 1%, 5% or 10 %.
In Case, it is not mentioned, by default it is considered as 5%
15. One sided and two sided tests
(One Tailed and two tailed tests)
Whether the test is one sided or two sided, totally depends
upon the alternative hypothesis H1 because Null Hypothesis
is the hypothesis of “No difference”.
If alternative hypothesis, specifies both direction it is called as
two sided test. It contains ‘≠’ in H1
Examples 1) H1: μ ≠ 58 2) H1: P1 ≠ P2
If alternative hypothesis, specifies only one direction, it is
called as one sided test. It contains either ‘<‘ or ‘>’ in H1.
Examples 1) H1: μ < 58 <------- Left sided test
2) H1: μ > 58 <------- Right sided test
19. P-value
The P-value is also known as the
probability value.
It is defined as the probability of getting a
result that is either the same or more
extreme than the actual observations.
The P-value is known as the level of
marginal significance within the hypothesis
testing that represents the probability of
occurrence of the given event.
Interpretation:
If p-value < 0.05 ==> Reject H0 (Accept H1)
If p-value > 0.05 ==> Accept H0