This presentation consists of three topics that are:
1. conductance of electrolytic solution
2. Specific Conductance, Molar Conductance & Equivalent Conductance
3. Kohlrausch's Law
Determination of the molecular weight of high polyvinyl alcohol (pva) by visc...PRAVIN SINGARE
This presentation is based on demonstration on the Determination of the molecular weight of high polyvinyl alcohol (pva) by viscosity method. The presentation is made for Undergraduate Chemistry Students of Mumbai University
Optical activity in catenanes and rotaxanesPRUTHVIRAJ K
These class of compounds do not contain any formal chiral centre but exhibit stereoisomerism due to presence of either a chiral axis or a chiral plane and are called stereoaxis and stereoplanes respectively
Theories of coordination compounds, CFSE, Bonding in octahedral and tetrahedral complex, color of transition metal complex, magnetic properties, selection rules, Nephelxeuatic effect, angular overlap model
Social Research Centre workshop - Telephone Surveying in the Post-Modern Era, held Thursday 10 October 2019. Presentation by Dina Neiger - Chief Statistician (Social Research Centre)
This presentation consists of three topics that are:
1. conductance of electrolytic solution
2. Specific Conductance, Molar Conductance & Equivalent Conductance
3. Kohlrausch's Law
Determination of the molecular weight of high polyvinyl alcohol (pva) by visc...PRAVIN SINGARE
This presentation is based on demonstration on the Determination of the molecular weight of high polyvinyl alcohol (pva) by viscosity method. The presentation is made for Undergraduate Chemistry Students of Mumbai University
Optical activity in catenanes and rotaxanesPRUTHVIRAJ K
These class of compounds do not contain any formal chiral centre but exhibit stereoisomerism due to presence of either a chiral axis or a chiral plane and are called stereoaxis and stereoplanes respectively
Theories of coordination compounds, CFSE, Bonding in octahedral and tetrahedral complex, color of transition metal complex, magnetic properties, selection rules, Nephelxeuatic effect, angular overlap model
Social Research Centre workshop - Telephone Surveying in the Post-Modern Era, held Thursday 10 October 2019. Presentation by Dina Neiger - Chief Statistician (Social Research Centre)
Statistics for UX Professionals - Jessica CameronUser Vision
Are you looking to expand your research toolkit to include some quantitative methods, such as survey research or A/B testing? Have you been asked to collect some usability metrics, but aren’t sure how best to go about that? Or do you just want to be more aware of all of the UX research possibilities? If your answer to any of those questions is yes, then this session is for you.
You may know that without statistics, you won’t know if A is really better than B, if users are truly more satisfied with your new site than with your old one, or which changes to your site have actually impacted conversion rates. However, statistics can also help you figure out how to report satisfaction and other metrics you collect during usability tests. And they’re essential for making sense of the results of quantitative usability tests.
This session will focus on the statistical concepts that are most useful for UX researchers. It won’t make you a quant, but it will give you a good grounding in quantitative methods and reporting. (For example, you will learn what a margin of error is, how to report quantitative data collected during a usability test - and how not to - and how many people you really need to fill out a survey.)
ARTX 360: CONSUMER RESEARCH FINAL PROJECT
Professor
12/1/19
Table of Contents
· Statement …………………………………………………………………. Page 3
· Structure of Questions…………………………………………………… Page 4
· Description of Sample……………………………………………………. Page 5
· Raw Data…………………………………………………………………. Page 6
· Analyze of Data…………………………………………………………... Page 7
· Relationship between Variables…………………………………………. Page 8
· Summery…………………………………………………………………... Page
· Conclusion………………………………………………………………… Page
1. Statement
It is important to investigate this topic due to were the internet is taking consumers in fashion in today’s market. I connect to this survey because of my interest in fashion has well has my career path and one day owning my own online business. fashion industry and business and careers such has Public relationships, which I’m involved in now, can all benefit in the knowledge of this study. The new media outlooks effecting the consumers buys decisions. This result would be publishing on a fashion blog to help the fashion businesses build consumers via social media.
ll. Structure of Questions
Question title: level of impact social media platforms have on consumers buying decisions.
Q1. How old are you? ( Independent)
1. 18-23
2. 24-29
3. 30-35
4. 36 or more
Q2. What is your gender? (Independent)
1. Female
2. Male
Q3. How often do u use social media? (Independent)
1. Daily
2. Few times a week
3. Few times a month
Q4. Rate the level of influence social media has on fashion buying decisions. (Dependent)
1. High
2. Moderation
3. Low
4. None
Ill. Description of Sample
I used a sample of 15 working individuals from different ages and different career paths to answer 4 questions regarding consumer research. All of my survey participants were more then happy to complete this survey due to the short time it takes to complete and the easy accessible access via email/message. With the help of my survey participant I am able to complete my study.
IV. Raw Data
Respondent
Age
Gender
Time on social media
Positive/ negative use of social media
1
18-23
F
Daily
Yes
2
18-23
F
Daily
Yes
3
24-29
M
Daily
Yes
4
18-23
M
Daily
No
5
18-23
F
Daily
Yes
6
18-23
F
Daily
Yes
7
18-23
F
Daily
Yes
8
24-29
F
Daily
Yes
9
24-29
F
Daily
Yes
10
24-29
M
Daily
No
12
36 or more
M
Few times a week
Yes
13
18-23
F
Daily
Yes
14
18-23
F
Few times a week
No
15
36 or more
F
Few times a week
Yes
V. Analyses of Data
Influenced Purchased by social platforms
Frequency
Yes
12
No
3
Mode:Yes
Yes
No
12
3
Median: This is non- applicable because the median cannot be applied to a nominal set of data.
Mean:This is non- applicable because the mean cannot be applied to a nominal set of data.
Range: This is non-applicable as well because variance cannot be applied to a nominal set of data.
Variance: This is non-applicable as well because vari ...
This presentation is meant to help choose the appropriate statistical analysis for IBDP Biology IAs. It was created as support for teachers but also useful for students.
Within the presentation, we discuss different types of biological data, and how to describe and analyse it using mathematics.
Are you looking to expand your research toolkit to include some quantitative methods, such as survey research or A/B testing? Have you been asked to collect some usability metrics, but aren’t sure how best to go about that? Or do you just want to be more aware of all of the UX research possibilities? If your answer to any of those questions is yes, then this session is for you.
You may know that without statistics, you won’t know if A is really better than B, if users are truly more satisfied with your new site than with your old one, or which changes to your site have actually impacted conversion rates. However, statistics can also help you figure out how to report satisfaction and other metrics you collect during usability tests. And they’re essential for making sense of the results of quantitative usability tests.
This session will focus on the statistical concepts that are most useful for UX researchers. It won’t make you a quant, but it will give you a good grounding in quantitative methods and reporting. (For example, you will learn what a margin of error is, how to report quantitative data collected during a usability test - and how not to - and how many people you really need to fill out a survey.)
Measure of dispersion has two types Absolute measure and Graphical measure. There are other different types in there.
In this slide the discussed points are:
1. Dispersion & it's types
2. Definition
3. Use
4. Merits
5. Demerits
6. Formula & math
7. Graph and pictures
8. Real life application.
Vax, Masks, and The Space Between: Rating, Segmenting, and Cross TabsSogolytics
In part two of our series on Omni reporting drill-down, we're exploring how to make the best use of rating questions, segmenting data, and cross tabs -- all in the same report. Ready to learn more? Dive in!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
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.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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.
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!
IB Chemistry uncertainty error, standard deviation, error analysis and t test for significant difference
1. Video Tutorial Error analysis, Standard
deviation, error uncertainty and t test for
significant difference.
Prepared by
Lawrence Kok
http://lawrencekok.blogspot.com
2. Central value of normal distribution curve can be recorded as
• Mean
• Mode
• Median
Consider the following set of data collected
5, 6, 6, 6, 6, 7, 9
Average can be in the form of Mean, Mode or Median
• Mean = ( 5 + 6 + 6 + 6 + 6 + 7 + 9 ) /7 = 6.42
• Median = 6 ( middle number )
• Mode = 6 ( most common )
Conclusion = Can use mean, median or mode if data cluster together
(normal distribution)
3. Consider the following set of data collected
1, 7, 8, 8, 8, 9, 9
Average can be in the form of Mean, Mode or Median
• Mean = ( 1 + 7+ 8 + 8 +8 +9 +9 )/7 = 7.14
• Median = 8
• Mode = 8
Conclusion = 1 is an outlier, mean is not appropriate (not normal
distribution)
4. Uncertainty or standard deviation measures the spread/variability of
values from the mean
Uncertainty can the the form of
• standard deviation (SD)
• standard error (SE)
• confidence interval (CI)
• uncertainty error
High SD - High spread of data - High Uncertainty
Low SD - Small spread of data - High Certainty
Uncertainty expressed in SD, SE and CI if the data is normally distributed
Rate can be expressed = (Rate SD), (Rate SE), (Rate CI)
5. IA by two students on effect of Conc on Rate of reaction.
How concentration of hydrochloric acid affect the rate of reaction?
Data collected by student 1
Uncertainty in Rate expressed as SD, SE and CI is small.
6. Rate SD against Conc was plotted below
• Error bar/ SD do not overlap
• High certainty a line passes through error bar
• Small SD - More precise and highly certain a linear relationship bet Rate
and Conc
• Concentration increase - Rate increase
Significant different between rates at different concentration
8. Rate SD against Conc was plotted below
• Error bar as SD overlap
• High Uncertainty how the line pass through error bar
• High SD - Less certain on the relationship between Conc and Rate
• As Conc increase rate may be constant
Significant difference between Rate at lower conc
No significant difference between Rate at higher conc
9. Data from both student shown below
Uncertainty/Error bar/SD will determine
• Small SD - High Certainty - Error bar don't overlap –
Significant difference between rates at different Conc
• Small SD - Highly Certain about relationship between Rate and Conc
(Conc up - Rate up)
• High SD - High Uncertainty - Error bar overlap –
• No significant difference between rates at different Conc
• High SD - High Uncertainty about relationship bet Rate and Conc
(Conc up - Rate may be constant, increase or decrease)
10. Good video using Excel for graphing/ error bar plotting
Click here to view video from Youtube.
T test for significant difference between two means
Click here to view on slideshare.
11. Acknowledgements
Thanks to source of pictures and video used in this presentation
Thanks to Stephen Taylor for the video graphing using Excel
Thanks to Creative Commons for excellent contribution on licenses
http://creativecommons.org/licenses/
Prepared by Lawrence Kok
Check out more video tutorials from my site and hope you enjoy this tutorial
http://lawrencekok.blogspot.com