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This document contains statistics and calculations for Amazon and Apple stock prices over a 15 day period, including: - Confidence intervals at 95% and 99% for mean prices - Standard deviation, minimum, maximum, median, and mean prices - Variance and error margins - Monthly earnings yields for Amazon and Apple showing monthly fluctuations - Conclusion that increasing the confidence level widens the confidence interval and increases the error
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The document discusses Google's new tabbed inbox layout for Gmail and its impact. It notes newsletters may be sorted into the "Promotions" tab. The changes only affect the Gmail app and desktop versions, not Mailbox or iPhone. While one study found a small reduction in open rates, the document argues more data is needed and notes the importance of optimizing for mobile given its growing use. It recommends marketers adapt to the changes, educate subscribers, and focus on mobile-first design.
Individual peer assessment
a. The document discusses calculating confidence intervals for the yields of Amazon and Apple stocks over a 15 day period using a sample size of 14. It finds 95% and 99% confidence intervals.
b. When changing from a 95% to a 99% confidence interval, the interval becomes larger. A 99% confidence interval is wider to have a higher level of confidence that the true population value falls within the interval.
c. The document calculates specific 95% and 99% confidence intervals for the average yields of Amazon and Apple. The 99% intervals are wider than the 95% intervals as expected.
Informe técnico de intervalos de confianza
Práctica individual del curso de Introducción a ciencias de datos y estadística básica para negocios.
Mca admission in india
This document discusses confidence intervals and how they are used to estimate population parameters from sample data. Some key points:
- Confidence intervals provide a range of values that is likely to include an unknown population parameter, rather than just a single point estimate. They indicate the reliability of an estimate.
- The formula for a confidence interval is point estimate ± (critical value)(standard error). It depends on the sample size, standard deviation, and desired confidence level.
- When the population standard deviation is unknown, the student's t-distribution is used instead of the normal distribution to calculate confidence intervals.
- Sample size calculations can determine the required sample size needed to estimate a population mean within a specified margin of
WEEK 5 HOMEWORK 5THIS WEEK INVOLVES READING NEW TABLES, THE t-TA.docx
WEEK 5 HOMEWORK 5
THIS WEEK INVOLVES READING NEW TABLES, THE t-TABLES. BUT, UNLIKE THE Z-TABLES WHERE YOU JUST NEEDED TO CALCULATE A Z-VALUE TO FIND THE PROBABILITY IN THE TABLE, WITH THE t-TABLE YOU NEED THE t-VALUE AND THE DEGREES OF FREEDOM, WHICH IS SIMPLY N – 1. THE t-VALUES DEPEND ON THE SIZE OF THE SAMPLE. THE t-DISTRIBUTION SHAPE CAN BE A “SKINNY” BELL CURVE, SYMETRICAL JUST LIKE THE NORMAL DISTRIBTION; BUT, AS YOU CAN SEE, THE LARGER THE SAMPLE SIZE THE MORE THE t-DISTRIBUTION SHAPE LOOKS LIKE THE NORMAL DISTRIBUTION SHAPE.
THE t-TABLES ARE IN OUR COURSE CONTENT > COURSE RESOURCES (NEAR THE BOTTOM OF CONTENT) > STATISTICAL RESOURCES. I SUGGEST YOU PRINT IT OUT AND REVIEW IT AS YOU READ THESE INSTRUCTIONS:
LET’S SAY YOU WANT TO BE 99% CONFIDENT (LEVEL OF CONFIDENCE) IN YOUR CONFIDENCE INTERVAL. THIS LEAVES A 1% CHANCE YOUR SAMPLE STATISTIC LIKE THE MEAN IS NOT IN THAT INTERVAL. KEEP IN MIND THAT THE CI HAS AN UPPER LIMIT AND A LOWER LIMIT SO THIS 1% COVERS BOTH ENDS. THIS MEANS THAT THE PROBABILITY THAT OUR RESULT IS IN ONE OR THE OTHER TAIL IS 1% / 2 = 0.5% (OR 0.005). THINK ABOUT IT. NOTE THAT IN THE TABLE THE 99% CI (BOTTOM LINE) EQUATES TO 0.005 ON THE TOP LINE. ALL WE NEED NOW IS THE DEGREES OF FREEDOM, WHICH IS N – 1, TO GET OUR CRITICAL t-VALUE FROM THE BODY OF THE TABLE. IN THIS EXAMPLE THE df IS 14, SO THE t-VALUE IS 2.977. THIS t-VALUE IS A CRITICAL VALUE LIKE A Z-VALUE.
THE t-TABLES ARE DIFFERENT FROM THE z-TABLES IN THAT WITH THE “t” WE SPECIFY THE PROBABILITY WE WANT AND THEN FIND THE CRITICAL t-VALUE. WITH THE NORMAL DISTRIBUTION, WE CALCULTE THE z-VALUE FIRST AND THEN COMPARE IT TO THE CRITICAL z-VALUE OF OUR DESIRED LEVEL OF SIGNIFICANCE (90%, 95%, OR 99%) TO SEE IF OUR CALCULATED z-VALUE IS FURTHER OUT IN EITHER TAIL, HENCE “UNUSUAL”.
THE NORMAL DISTRIBUTION CURVE IS ONE CURVE AND DOES NOT CHANGE WITH SAMPLE SIZE, HENCE WE CAN HAVE THE SAME CRITICAL z-VALUES FOR EVERY PROBLEM (99%, 95%, AND 90%). THE t-DISTRIBTUTION CURVE STARTS OUT A SKINNY BELL CURVE AND SLOWLY WIDENS AS THE SAMPLE SIZE (THE df) INCREASES. YOU CAN SEE FROM THE t-TABLE THAT WHEN THE df APPROACHES 1000, WE ARE VERY CLOSE TO THE NORMAL DISTRIBUTION’S BELL SHAPE. BUT, SINCE THE t-SHAPE CHANGES, THERE ARE DIFFERENT CRITICAL t-VALUES DEPENDING ON THE df (SAMPLE SIZES) INVOLVED.
HERE IS WHAT THE CONFIDENCE INTERVAL MEANS GRAPHICALLY: IN THIS SAMPLE PROBLEM WE WANTED A 95% CONFIDENCE LEVEL CONFIDENCE INTERVAL BASED ON A SAMPLE WITH A MEAN OF 3.26, A STD DEV OF 1.019 AND A SAMPLE SIZE OF 39 (df = 39-1 =38). THE CRITICAL t-VALUE FROM THE TABLE IS 2.023 (WE DON’T HAVE 39 df IN THE TABLE SO WE APPROXIMATED USING THE df FOR 39 AND 40). USE THE TABLE AND NOT SOFTWARE FOR THESE PROBLEMS. NOTE THAT THE 95% LEVEL MEANS 2.5% OF THE AREA UNDER THE t-CURVE IS IN EACH TAIL AS THE LIMITS.
NOW WE HAVE OUR t-VALUE = 2.023. REMEMBER WHEN WE STANDARDIZED OUR RAW DATA POINTS (THE X-VALUES) USING: Z = (X –MEAN)/STD DEV. IF WE WERE GIVEN T.
Final test gilda veronica sikaffy
This document appears to contain raw data comparing monthly earnings and stock prices of Amazon and Apple over a 15 month period. It includes the monthly figures for both companies as well as calculations of averages, standard deviations, confidence intervals and other statistical measures. The large amount of numbers and calculations makes the core topic and main conclusions difficult to determine from the document alone in 3 sentences or less.
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a. The document discusses calculating confidence intervals for the yields of Amazon and Apple stocks over a 15 day period using a sample size of 14. It finds 95% and 99% confidence intervals.
b. When changing from a 95% to a 99% confidence interval, the interval becomes larger. A 99% confidence interval is wider to have a higher level of confidence that the true population value falls within the interval.
c. The document calculates specific 95% and 99% confidence intervals for the average yields of Amazon and Apple. The 99% intervals are wider than the 95% intervals as expected.
Informe técnico de intervalos de confianza
Práctica individual del curso de Introducción a ciencias de datos y estadística básica para negocios.
Mca admission in india
This document discusses confidence intervals and how they are used to estimate population parameters from sample data. Some key points:
- Confidence intervals provide a range of values that is likely to include an unknown population parameter, rather than just a single point estimate. They indicate the reliability of an estimate.
- The formula for a confidence interval is point estimate ± (critical value)(standard error). It depends on the sample size, standard deviation, and desired confidence level.
- When the population standard deviation is unknown, the student's t-distribution is used instead of the normal distribution to calculate confidence intervals.
- Sample size calculations can determine the required sample size needed to estimate a population mean within a specified margin of
WEEK 5 HOMEWORK 5THIS WEEK INVOLVES READING NEW TABLES, THE t-TA.docx
WEEK 5 HOMEWORK 5
THIS WEEK INVOLVES READING NEW TABLES, THE t-TABLES. BUT, UNLIKE THE Z-TABLES WHERE YOU JUST NEEDED TO CALCULATE A Z-VALUE TO FIND THE PROBABILITY IN THE TABLE, WITH THE t-TABLE YOU NEED THE t-VALUE AND THE DEGREES OF FREEDOM, WHICH IS SIMPLY N – 1. THE t-VALUES DEPEND ON THE SIZE OF THE SAMPLE. THE t-DISTRIBUTION SHAPE CAN BE A “SKINNY” BELL CURVE, SYMETRICAL JUST LIKE THE NORMAL DISTRIBTION; BUT, AS YOU CAN SEE, THE LARGER THE SAMPLE SIZE THE MORE THE t-DISTRIBUTION SHAPE LOOKS LIKE THE NORMAL DISTRIBUTION SHAPE.
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LET’S SAY YOU WANT TO BE 99% CONFIDENT (LEVEL OF CONFIDENCE) IN YOUR CONFIDENCE INTERVAL. THIS LEAVES A 1% CHANCE YOUR SAMPLE STATISTIC LIKE THE MEAN IS NOT IN THAT INTERVAL. KEEP IN MIND THAT THE CI HAS AN UPPER LIMIT AND A LOWER LIMIT SO THIS 1% COVERS BOTH ENDS. THIS MEANS THAT THE PROBABILITY THAT OUR RESULT IS IN ONE OR THE OTHER TAIL IS 1% / 2 = 0.5% (OR 0.005). THINK ABOUT IT. NOTE THAT IN THE TABLE THE 99% CI (BOTTOM LINE) EQUATES TO 0.005 ON THE TOP LINE. ALL WE NEED NOW IS THE DEGREES OF FREEDOM, WHICH IS N – 1, TO GET OUR CRITICAL t-VALUE FROM THE BODY OF THE TABLE. IN THIS EXAMPLE THE df IS 14, SO THE t-VALUE IS 2.977. THIS t-VALUE IS A CRITICAL VALUE LIKE A Z-VALUE.
THE t-TABLES ARE DIFFERENT FROM THE z-TABLES IN THAT WITH THE “t” WE SPECIFY THE PROBABILITY WE WANT AND THEN FIND THE CRITICAL t-VALUE. WITH THE NORMAL DISTRIBUTION, WE CALCULTE THE z-VALUE FIRST AND THEN COMPARE IT TO THE CRITICAL z-VALUE OF OUR DESIRED LEVEL OF SIGNIFICANCE (90%, 95%, OR 99%) TO SEE IF OUR CALCULATED z-VALUE IS FURTHER OUT IN EITHER TAIL, HENCE “UNUSUAL”.
THE NORMAL DISTRIBUTION CURVE IS ONE CURVE AND DOES NOT CHANGE WITH SAMPLE SIZE, HENCE WE CAN HAVE THE SAME CRITICAL z-VALUES FOR EVERY PROBLEM (99%, 95%, AND 90%). THE t-DISTRIBTUTION CURVE STARTS OUT A SKINNY BELL CURVE AND SLOWLY WIDENS AS THE SAMPLE SIZE (THE df) INCREASES. YOU CAN SEE FROM THE t-TABLE THAT WHEN THE df APPROACHES 1000, WE ARE VERY CLOSE TO THE NORMAL DISTRIBUTION’S BELL SHAPE. BUT, SINCE THE t-SHAPE CHANGES, THERE ARE DIFFERENT CRITICAL t-VALUES DEPENDING ON THE df (SAMPLE SIZES) INVOLVED.
HERE IS WHAT THE CONFIDENCE INTERVAL MEANS GRAPHICALLY: IN THIS SAMPLE PROBLEM WE WANTED A 95% CONFIDENCE LEVEL CONFIDENCE INTERVAL BASED ON A SAMPLE WITH A MEAN OF 3.26, A STD DEV OF 1.019 AND A SAMPLE SIZE OF 39 (df = 39-1 =38). THE CRITICAL t-VALUE FROM THE TABLE IS 2.023 (WE DON’T HAVE 39 df IN THE TABLE SO WE APPROXIMATED USING THE df FOR 39 AND 40). USE THE TABLE AND NOT SOFTWARE FOR THESE PROBLEMS. NOTE THAT THE 95% LEVEL MEANS 2.5% OF THE AREA UNDER THE t-CURVE IS IN EACH TAIL AS THE LIMITS.
NOW WE HAVE OUR t-VALUE = 2.023. REMEMBER WHEN WE STANDARDIZED OUR RAW DATA POINTS (THE X-VALUES) USING: Z = (X –MEAN)/STD DEV. IF WE WERE GIVEN T.
Final test gilda veronica sikaffy
This document appears to contain raw data comparing monthly earnings and stock prices of Amazon and Apple over a 15 month period. It includes the monthly figures for both companies as well as calculations of averages, standard deviations, confidence intervals and other statistical measures. The large amount of numbers and calculations makes the core topic and main conclusions difficult to determine from the document alone in 3 sentences or less.
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· Social media is the place for search, sales, and service
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Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
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The Most Inspiring Entrepreneurs to Follow in 2024.pdf
The Most Inspiring Entrepreneurs to Follow in 2024.pdf
Discover the Beauty and Functionality of The Expert Remodeling Service
Discover the Beauty and Functionality of The Expert Remodeling Service
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Dpboss Matka Guessing Satta Matta Matka Kalyan panel Chart Indian Matka Dpbos...
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Kirill Klip GEM Royalty TNR Gold Copper Presentation
Kirill Klip GEM Royalty TNR Gold Copper Presentation
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Kirill Klip GEM Royalty TNR Gold Lithium Presentation
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women Magazine
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women Magazine
Featured
Product Design Trends in 2024 | Teenage Engineerings
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental Health
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Skeleton Culture Code
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
Social Media Marketing Trends 2024 // The Global Indie Insights
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summary
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
Getting into the tech field. what next
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search Intent
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.
How to have difficult conversations
Stop putting off having difficult conversations. Seven practical tips to ensure your next difficult conversation go smoothly.
Introduction to Data Science
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best Practices
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project management
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
A presentation for absolute beginners who have never touched TikTok and may be a bit scared of it!
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59
Key takeaways:
• Learn how to use ChatGPT to add AI power to your testing and test automation
• Understand the limitations of the technology and where human expertise is crucial
• Gain insight into different AI-based tools
• Adopt AI-based tools to stay relevant and optimize work for developers and testers
* ChatGPT and OpenAI belong to OpenAI, L.L.C.
12 Ways to Increase Your Influence at Work
To succeed in your career, you need a strategy for sending out ripples of influence. Here are 12 ways you can start doing just that.
Featured (20)
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
The six step guide to practical project management
The six step guide to practical project management
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Bs final test gilda veronica sikaffy
- 1. B U S I N E S S S T A T I S T I C S F I N A L Gilda Veronica Sikaffy
- 2. BUSINESS STATISTIC FINAL TEST Index Price list of Amazon and Apple stocks Calculation of the following: Sample Z=95%, confidence Interval STDV Minim Max Median Mean X Z=99% confidence Interval Variance Error of margin Normal Distribution Yield Average Yield Median Amazon Monthly earning Apple Monthly earning
- 3. CONCLUSION In order to find Z necessary to build the confidence interval, I had to find first a set of values that were going to help me to find the answers. Trough the confidence Interval I could learn that the bigger the confidence level, the error increase because the confidence interval becomes wider. The monthly earning yields between Amazon and Apple showed the monthly fluctuation of each. the more detail that we posses N=15 DAY AMAZON APPLE 1 10.5 10.87 2 13.6 14.94 3 14.6 18.31 4 18 15.08 5 16 16.49 6 13 13.48 7 9.5 14.95 8 8.8 15.05 9 9 14.76 10 10 16.28 11 11.2 15.78 12 18 16.45 13 13.7 17.06 14 14.5 17.39 15 17 16.32
- 4. Answer 4 N=15 Amazon Apple TOTAL z=1.96 STDV = 10.33 3.17 Minim= 10.5 10.87 Max= 17 16.32 Median= 8.8 15.05 Mean= 24.675 15.547 X= 45 z=95%= 2.57 Varianza= 0.92 0.38 Error margin= 2.71 0.83 Norm Distribution 0.1744841 0.431500532 yield average= 0.4643 0.389 yield median= 1.2 0.61
- 5. YIELDS amazon earning monthly Apple monthly earnings 3.1 4.07 0.8 3.37 3.4 -3.23 2.5 1.41 -3 -3.01 -3.5 1.47 3.1 0.1 0.2 -0.29 1 1.52 1.2 -0.5 6.8 0.67 -4.3 0.61 0.8 0.33 2.5 -1.07 13 5.45 27.6 10.9
- 6. . 9 total 10.33 3.17 square foot square foot Standard D Amazon apple standard Deviatio 7.24 7.89 5.37 0.98 8.13 3.57 15.13 0.0016 19.84 0.2 17 0.3 8.59 2.43 3.17 0.9 1.38 0.9 3.18 0.18 9.72 4.08 17.54 0.54 8.75 0.31 15.73 21.43 140.77 43.7116 4.21 0.67 10.33 3.17
- 7. Amazon answer 1 1.=95% confidence interval? 95%= 1.96 z=-0.475, z=+0.475 24.67=mean 24.67+0.475+(10.33/3.74) Median:27.905 Standard deviation=10.33 positive 28, negative 28 answer 2, Apple 99%, confidenceinterval, Z? 99%=2.57, z=-0.495, z=+0.495 mean=15.54 stave=3.17 15.54+0.495+(3.17/3.74) 0.847593583 21.34 positivo21.34,negativo21.34
- 8. AMAZON Apple -4.3 -3.23 -3.5 -3.01 -3 -1.07 0.2 -0.5
- 9. ANSWER 3 YIELD MEDIAN 0.8 -0.29 0.8 0.1 1 0.33 1.2 0.61 2.5 0.67 2.5 1.41 3.1 1.47 3.1 1.52 3.4 3.37 6.8 4.07 13 5.45
- 10. ANSWER 4 Increasing the confidence of level increases de error bond