This document discusses hypotheses, including their characteristics, criteria for construction, testing approaches, and types of errors. It defines a hypothesis as a tentative explanation for behaviors or events that can be scientifically tested. Key points include:
- Hypotheses must be clear, precise, testable and specify the relationship between variables.
- The null hypothesis is what is being tested, while the alternative is what may be accepted if the null is rejected.
- Tests can be two-tailed, testing in both directions, or one-tailed, testing in one specified direction.
- Type I error occurs when a true null hypothesis is rejected, while Type II error is accepting a false null hypothesis.
Hypothesis Testing is important part of research, based on hypothesis testing we can check the truth of presumes hypothesis (Research Statement or Research Methodology )
Hypothesis Testing is important part of research, based on hypothesis testing we can check the truth of presumes hypothesis (Research Statement or Research Methodology )
hypothesis-Meaning need for hypothesis qualities of good hypothesis type of hypothesis null and alternative hypothesis sources of hypothesis formulation of hypothesis, hypothesis testing
Case Study: The dilemma of personal growth
Summary
Q1.If you had done the above Summer Project in ABC in SD Division, what would you do in the situation you have landed into & why?
Q2. What actions can be taken in future to ensure that such Dilemmas are not faced by students?
Q3. Can “ABC” legally prevent its Employees from joining their rivals XYZ???
Dividend policy
What is Dividend?
What is dividend policy?
Theories of Dividend Policy
Relevant Theory
Walter’s Model
Gordon’s Model
Irrelevant Theory
M-M’s Approach
Traditional Approach
Referred to:
Prasanna Chandra
Monetary Policy Definition
Fiscal Policy Definition
Difference between them
Inflation
Bank reserve ratio
Open market operation
Repo & Reserve repo rates
Cash reserve ratio
Statutory liquid ratio
Factors affecting
Impact
Limitation
Competitive Strategies
Strategies that strongly position the company against competitor and give the company strongest possible strategic advantage.
Competitive Strategies helps in:
Building profitable customer relationships
Gaining competitive advantage
Analyzing their competitors
No company can follow only one strategy.
For example, Johnson & Johnson uses one marketing strategy for its common product such as BAND-AID & Johnson’s baby products; and different marketing strategy for its High Tech healthcare products such as Vicryl Plus, antibacterial surgical sutures or NeuFlex finger joint implants.
Threat of New Entrants
Profitability in the Industry attracts new players
Existence of large consumer base
Government policies on entry of global firms
Existing and potential incentives for the Industry
Role of technology and Innovations
Bargaining Power of Suppliers
Powerful suppliers – Concentrated, significant switching costs and produce highly customized products.
Examples (Rolls Royce, GE, etc. for the aircrafts)
Weak Suppliers – Many competitive suppliers (Ancillary goods)
Examples: Automobiles, crops, textile
Bargaining Power of Buyers
Two situations can be visualized
Powerful buyers – Products are standardized, buy significant proportion
Examples: Indian Railways (electrical fans, catering), AMUL
Weak Buyers – Fragmented, significant buyer switching costs
Examples: Small Scale Industries
Threat of Substitutes
Availability of close substitutes
Prices of substitutes
Threat for new substitutes
Examples: TV, DTH; Bottles and cans
Barriers to Entry and Exit
Its related to threats of substitutes
Easy to enter – common technology, low branding, low scale of operations, access to distribution channels
Difficult to enter – High brand pull, technology is patented and restricted distribution channels
Easy to exit – assets are saleable, low exit costs, independent business
Difficult to exit – high exit costs (insurance, infrastructure like power), specialized assets and inter-related business
Intra-Industry Rivalry
Top 10 firms in different decades
Some firms vanish from the Industry
Intense price-wars
Examples: Mobile tariff reductions, Air fares
BCG Matrix
Portfolio planning model-Strategic Business Units based on market growth and market share
Dogs – low market share and low growth rate
Question Marks – growing rapidly but low market share-problem child
Stars – high growth rates, consume large cash
Cash Cows – generate more cash than they consume
VALS Framework
Innovators-sophisticated, high self esteem, upscale and image is important
Thinkers- conservative, practical, income allows many choices, look for value
Achievers- Goal oriented lifestyle, image is very important
Experiences- Like “cool stuff”, like excitement and variety spend high proportion of income on fashion
The What, Why & How of 3D and AR in Digital CommercePushON Ltd
Vladimir Mulhem has over 20 years of experience in commercialising cutting edge creative technology across construction, marketing and retail.
Previously the founder and Tech and Innovation Director of Creative Content Works working with the likes of Next, John Lewis and JD Sport, he now helps retailers, brands and agencies solve challenges of applying the emerging technologies 3D, AR, VR and Gen AI to real-world problems.
In this webinar, Vladimir will be covering the following topics:
Applications of 3D and AR in Digital Commerce,
Benefits of 3D and AR,
Tools to create, manage and publish 3D and AR in Digital Commerce.
For too many years marketing and sales have operated in silos...while in some forward thinking companies, the two organizations work together to drive new opportunity development and revenue. This session will explore the lessons learned in that beautiful dance that can occur when marketing and sales work together...to drive new opportunity development, account expansion and customer satisfaction.
No, this is not a conversation about MQLs and SQLs. Instead we will focus on a framework that allows the two organizations to drive company success together.
How to Use AI to Write a High-Quality Article that Ranksminatamang0021
In the world of content creation, many AI bloggers have drifted away from their original vision, resulting in low-quality articles that search engines overlook. Don't let that happen to you! Join us to discover how to leverage AI tools effectively to craft high-quality content that not only captures your audience's attention but also ranks well on search engines.
Disclaimer: Some of the prompts mentioned here are the examples of Matt Diggity. Please use it as reference and make your own custom prompts.
Short video marketing has sweeped the nation and is the fastest way to build an online brand on social media in 2024. In this session you will learn:- What is short video marketing- Which platforms work best for your business- Content strategies that are on brand for your business- How to sell organically without paying for ads.
Is AI-Generated Content the Future of Content Creation?Cut-the-SaaS
Discover the transformative power of AI in content creation with our presentation, "Is AI-Generated Content the Future of Content Creation?" by Puran Parsani, CEO & Editor of Cut-The-SaaS. Learn how AI-generated content is revolutionizing marketing, publishing, education, healthcare, and finance by offering unprecedented efficiency, creativity, and scalability.
Understanding
AI-Generated Content:
AI-generated content includes text, images, videos, and audio produced by AI without direct human involvement. This technology leverages large datasets to create contextually relevant and coherent material, streamlining content production.
Key Benefits:
Content Creation: Rapidly generate high-quality content for blogs, articles, and social media.
Brainstorming: AI simulates conversations to inspire creative ideas.
Research Assistance: Efficiently summarize and research information.
Market Insights:
The content marketing industry is projected to grow to $17.6 billion by 2032, with AI-generated content expected to dominate over 55% of the market.
Case Study: CNET’s AI Content Controversy:
CNET’s use of AI for news articles led to public scrutiny due to factual inaccuracies, highlighting the need for transparency and human oversight.
Benefits Across Industries:
Marketing: Personalize content at scale and optimize engagement with predictive analytics.
Publishing: Automate content creation for faster publication cycles.
Education: Efficiently generate educational materials.
Healthcare: Create accurate content for patients and professionals.
Finance: Produce timely financial content for decision-making.
Challenges and Ethical Considerations:
Transparency: Disclose AI use to maintain trust.
Bias: Address potential AI biases with diverse datasets.
SEO: Ensure AI content meets SEO standards.
Quality: Maintain high standards to prevent misinformation.
Conclusion:
AI-generated content offers significant benefits in efficiency, personalization, and scalability. However, ethical considerations and quality assurance are crucial for responsible use. Explore the future of content creation with us and see how AI is transforming various industries.
Connect with Us:
Follow Cut-The-SaaS on LinkedIn, Instagram, YouTube, Twitter, and Medium. Visit cut-the-saas.com for more insights and resources.
Digital Commerce Lecture for Advanced Digital & Social Media Strategy at UCLA...Valters Lauzums
E-commerce in 2024 is characterized by a dynamic blend of opportunities and significant challenges. Supply chain disruptions and inventory shortages are critical issues, leading to increased shipping delays and rising costs, which impact timely delivery and squeeze profit margins. Efficient logistics management is essential, yet it is often hampered by these external factors. Payment processing, while needing to ensure security and user convenience, grapples with preventing fraud and integrating diverse payment methods, adding another layer of complexity. Furthermore, fulfillment operations require a streamlined approach to handle volume spikes and maintain accuracy in order picking, packing, and shipping, all while meeting customers' heightened expectations for faster delivery times.
Amid these operational challenges, customer data has emerged as an important strategy. By focusing on personalization and enhancing customer experience from historical behavior, businesses can deliver improved website and brand experienced, better product recommendations, optimal promotions, and content to meet individual preferences. Better data analytics can also help in effectively creating marketing campaigns, improving customer retention, and driving product development and inventory management.
Innovative formats such as social commerce and live shopping are beginning to impact the digital commerce landscape, offering new ways to engage with customers and drive sales, and may provide opportunity for brands that have been priced out or seen a downturn with post-pandemic shopping behavior. Social commerce integrates shopping experiences directly into social media platforms, tapping into the massive user bases of these networks to increase reach and engagement. Live shopping, on the other hand, combines entertainment and real-time interaction, providing a dynamic platform for showcasing products and encouraging immediate purchases. These innovations not only enhance customer engagement but also provide valuable data for businesses to refine their strategies and deliver superior shopping experiences.
The e-commerce sector is evolving rapidly, and businesses that effectively manage operational challenges and implement innovative strategies are best positioned for long-term success.
How to Run Landing Page Tests On and Off Paid Social PlatformsVWO
Join us for an exclusive webinar featuring Mariate, Alexandra and Nima where we will unveil a comprehensive blueprint for crafting a successful paid media strategy focused on landing page testing.With escalating costs in paid advertising, understanding how to maximize each visitor’s experience is crucial for retention and conversion.
This session will dive into the methodologies for executing and analyzing landing page tests within paid social channels, offering a blend of theoretical knowledge and practical insights.
The Pearmill team will guide you through the nuances of setting up and managing landing page experiments on paid social platforms. You will learn about the critical rules to follow, the structure of effective tests, optimal conversion duration and budget allocation.
The session will also cover data analysis techniques and criteria for graduating landing pages.
In the second part of the webinar, Pearmill will explore the use of A/B testing platforms. Discover common pitfalls to avoid in A/B testing and gain insights into analyzing A/B tests results effectively.
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
Come learn how YOU can Animate and Illuminate the World with Generative AI's Explosive Power. Come sit in the driver's seat and learn to harness this great technology.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
Everyone knows the power of stories, but when asked to come up with them, we struggle. Either we second guess ourselves as to the story's relevance, or we just come up blank and can't think of any. Unlocking Everyday Narratives: The Power of Storytelling in Marketing will teach you how to recognize stories in the moment and to recall forgotten moments that your audience needs to hear.
Key Takeaways:
Understand Why Personal Stories Connect Better
How To Remember Forgotten Stories
How To Use Customer Experiences As Stories For Your Brand
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
Digital marketing is the art and science of promoting products or services using digital channels to reach and engage with potential customers. It encompasses a wide range of online tactics and strategies aimed at increasing brand visibility, driving website traffic, generating leads, and ultimately, converting those leads into customers.
https://nidmindia.com/
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
The Forgotten Secret Weapon of Digital Marketing: Email
Digital marketing is a rapidly changing, ever evolving industry--Influencers, Threads, X, AI, etc. But one of the most effective digital marketing tools is also one of the oldest: Email. Find out from two Houston-based digital experts how to maximize your results from email.
Key Takeaways:
Email has the best ROI of any digital tactic
It can be used at any stage of the customer journey
It is increasingly important as the cookie-less future gets closer and closer
2. INTRODUCTION
CHARACTERISTICS OF A HYPOTHESIS
CRITERIA FOR HYPOTHESIS CONSTRUCTION
STEPS IN HYPOTHESIS TESTING
SOURCES OF HYPOTHESIS
APPROCHES TO HYPOTHESIS TESTING
THE LOGIC OF HYPOTHESIS TESTING
TYPES OF ERRORS IN HYPOTHESIS
3. “Don’t confuse “hypothesis” and “theory”. The
former is a possible explanation; the latter, the
correct one. The establishment of theory is the very
purpose of science.”
- Martin H. Fischer
A Hypothesis is :-
a mere assumption to be proved or disproved
the statement or an assumption about relationships
between variables
a tentative explanation for certain behaviors,
phenomenon or events that have occurred or will occur
a predictive statement capable of being tested by scientific
methods, that relates an independent variable to some
dependent variable
4. Hypothesis is a principal instrument in
research and for researcher its a formal question
that he intends to resolve
Most research is carried out with the deliberate
intention of testing hypothesis
Decision makers need to test hypothesis to take
decisions regarding alternate courses of action
Hypothesis-testing, thus, enables us to make
probability statements about population
parameters
In sum, hypothesis is a proposition which can
be put to test to determine its validity
5. Students who receive counseling will show
greater increase in creativity than students not
receiving counseling; or Car A is performing as
well as Car B
Bankers assumed high-income earners are
more profitable than low-income earners.
Old clients were more likely to diminish CD
balances by large amounts compared to
younger clients.
This was nonintrusive because conventional
wisdom suggested that older clients have a
larger portfolio of assets and seek less risky
investments
6. o Should be clear and precise
o Should be capable of being tested
o Should be limited in scope and be specific
o Should be stated in simple terms
o Should state the relationship between variables
o Should be consistent with most known facts
o Should be amenable to testing within a reasonable time
o Must explain the facts that gave rise to the need for
explanation
7. It should be empirically testable, whether it is
right or wrong.
It should be specific and precise.
The statements in the hypothesis should not be
contradictory.
It should specify variables between which the
relationship is to be established.
It should describe one issue only.
8.
9. Theory
Main source
Observation
Through observing the environment
Analogies
Intuition & personal experience
10. Classical statistics
Represents an objectives view of probability in which the
decision making rests totally on an analysis of available
sampling data
A hypothesis established, it is rejected or accepted, based
on the sample data collected
Bayesian statistics
Its extension of classical approach
But goes beyond to consider all other available
information
This additional information consist of subjective
probability estimates states in terms of degrees of belief
Subjective estimates are based on general experience
rather than on specific collected data
11. In classical tests of significance, two kinds of
hypothesis are used
Null hypothesis
Alternative hypothesis
Two-tailed test
One-tailed test
12. Null hypothesis (H0) represents the hypothesis we are
trying to reject and is the one which we wish to disprove
: 0 0 0 New Std New Std H
Example:
1) Suppose a coin is suspected of being biased in favor
of heads. The coin is flipped 100 times & the outcome is
52 heads. It would not to be correct to jump to the
conclusion that the coin is biased simply because more
than the expected number of 50 heads resulted. The
reason is that 52 heads is consistent with the
hypothesis that the coin is fair. On the other hand,
flipping 85/90 heads in 100 flips would seem to
contradict the hypothesis of a fair coin. In this case
there would be a strong case for a biased coin.
13. Given the test scores of two random samples of
men and women, does one group differ from the
other? A possible null hypothesis is that the mean
male score is the same as the mean female score:
H0: μ1 = μ2where:
H0 = the null hypothesis
μ1 = the mean of population 1, and
μ2 = the mean of population 2.
A stronger null hypothesis is that the two samples
are drawn from the same population, such that the
variance and shape of the distributions are also
equal.
14. • Alternative Hypothesis (Ha or H1) is usually
the one which we wish to prove and the
alternative hypothesis represents all other
possibilities.
: 0 A New Std H
• Further, alternative hypothesis it has two
types are:
•Two-tailed test
•One-tailed test
15. It is non-directional test which considers two possibilities
If you are using a significance level of 0.05, a two-tailed test
allots half of your alpha to testing the statistical significance
in one direction and half of your alpha to testing statistical
significance in the other direction.
This means that .025 is in each tail of the distribution of your
test statistic.
When using a two-tailed test, regardless of the direction of
the relationship you hypothesize, you are testing for the
possibility of the relationship in both directions.
Example, we may wish to compare the mean of a sample to
a given value x using a t-test. Our null hypothesis is that the
mean is equal to x. A two-tailed test will test both if the
mean is significantly greater than x and if the mean
significantly less than x. The mean is considered
significantly different from x if the test statistic is in the top
2.5% or bottom 2.5% of its probability distribution, resulting
in a p-value less than 0.05.
16.
17. It is unidirectional test
If you are using a significance level of .05, a one-tailed test allots all of
your alpha to testing the statistical significance in the one direction of
interest.
This means that .05 is in one tail of the distribution of your test statistic.
When using a one-tailed test, you are testing for the possibility of the
relationship in one direction and completely disregarding the possibility
of a relationship in the other direction.
Let's return to our example comparing the mean of a sample to a given
value x using a t-test.
Our null hypothesis is that the mean is equal to x. A one-tailed test will
test either if the mean is significantly greater than x or if the mean is
significantly less than x, but not both. Then, depending on the chosen tail,
the mean is significantly greater than or less than x if the test statistic is in
the top 5% of its probability distribution or bottom 5% of its probability
distribution, resulting in a p-value less than 0.05. The one-tailed test
provides more power to detect an effect in one direction by not testing the
effect in the other direction. A discussion of when this is an appropriate
option follows.
18.
19. Types of errors Types of errors
Types of decision H0true H0 false
Reject Type I error(a) Correct decision(1-b)
Accept Correct decision(1-a) Type II error(b)
20. Type I Error – we may reject the null
hypothesis when it is true;
That is, Type I error means rejection of the
hypothesis which should have been accepted
The value is called level of significance and
probability of rejecting the true
Example: the innocent person is unjustly
convicted
21. Type II Error – we may accept the null
hypothesis when in fact the null hypothesis is
not true
Type II error means accepting the hypothesis
which should have been rejected
Example: the result is an unjust acquittal, with
the guilty person may go free