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.
This presentation describes the concept of One Sample t-test, Independent Sample t-test and Paired Sample t-test. This presentation also deals about the procedure to do the t-test through SPSS.
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.
This presentation describes the concept of One Sample t-test, Independent Sample t-test and Paired Sample t-test. This presentation also deals about the procedure to do the t-test through SPSS.
Regression analysis mathematically and statistically describes the relationship between a set of independent variables and a dependent variable. This presentation describes the concept of regression and its types with suitable illustrations. This presentation also explains the regression analysis spss path and its interpretations.
Chi-Square test for independence of attributes / Chi-Square test for checking association between two categorical variables, Chi-Square test for goodness of fit
A brief description of F Test and ANOVA for Msc Life Science students. I have taken the example slides from youtube where an excellent explanation is available.
Here is the link : https://www.youtube.com/watch?v=-yQb_ZJnFXw
An application of probability theories on Sachin Tendulkar's cricketing records. A combination of statistics with cricket . Have fun while you learn :-)
Regression analysis mathematically and statistically describes the relationship between a set of independent variables and a dependent variable. This presentation describes the concept of regression and its types with suitable illustrations. This presentation also explains the regression analysis spss path and its interpretations.
Chi-Square test for independence of attributes / Chi-Square test for checking association between two categorical variables, Chi-Square test for goodness of fit
A brief description of F Test and ANOVA for Msc Life Science students. I have taken the example slides from youtube where an excellent explanation is available.
Here is the link : https://www.youtube.com/watch?v=-yQb_ZJnFXw
An application of probability theories on Sachin Tendulkar's cricketing records. A combination of statistics with cricket . Have fun while you learn :-)
Inferential statistics takes data from a sample and makes inferences about the larger population from which the sample was drawn.
Make use of the PPT to have a better understanding of Inferential statistics.
Basic of Statistical Inference Part-III: The Theory of Estimation from Dexlab...Dexlab Analytics
In this 3rd segment of the basic of statistical inference series, the estimation theory, its elements, methods and characteristics have been discussed.
Quantitative Analysis for Emperical ResearchAmit Kamble
Overview for Approach Methods for quantitative analysis; which includes
1) Planning of Experiments
2) Data Generation
3) presentation of report
some numerical approach methods; data modeling; hypothesis methods
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
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.
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
2. It is a statistical measure used in the context of
sampling analysis for comparing a variance to a
theoretical variance.
As a non-parametric test it can used to
determine if categorical data shows
dependency or the two classifications are
independent.
It is also used to make comparisons between
theoretical populations and actual data when
categories are used.
3. The significance level of a statistical hypothesis
test is a fixed probability of wrongly rejecting
the null hypothesis H0, if it is in fact true.
It is the probability of a type I error and is set
by the investigator in relation to the
consequences of such an error. That is, we want
to make the significance level as small as
possible in order to protect the null hypothesis
and to prevent, as far as possible, the
investigator from inadvertently making false
claims.
4. OBSERVED VALUE STATISTICS The value of
a characteristic determined as the result of a
single observation.
EXPECTED VALUE of a random variable is
the integral of the random variable with
respect to its probability measure.
DEGREES OF FREEDOM is the number of
values in the final calculation of a statistic
that are free to vary.
5. CONDITION OF CONDITION OF HOME TOTAL
CHILD CLEAN DIRTY
CLEAN 70 50 120
FAIRLY CLEAN 80 20 100
DIRTY 35 45 80
total 185 115 300
State whether the two attributes, condition of home and
condition of child are independent (Use Chi-Square test for the
purpose)
6. We assumed that the two attributes are not
related to each other.
Condition of home and condition of child
are not independent.
O-E 2
Chi-Square =∑ E
𝑅𝑜𝑤 𝑇𝑜𝑡 𝑎 𝑙 × 𝐶𝑜𝑙 𝑢 𝑚𝑛 𝑇𝑜𝑡 𝑎 𝑙
• Expected value=
𝐺𝑟𝑎𝑛𝑑 𝑇𝑜𝑡 𝑎 𝑙
7. Group Observed Expected (O – E) (O-E)2 (O-E)2
value(O) value(E) E
CC 70 74 -4 16 0.216
CDC 50 46 4 16 0.347
FC 80 61.67 18.33 335.98 5.448
FDC 20 38.33 -18.33 335.98 8.765
DC 35 49.33 -14.33 205.34 4.162
DDC 45 30.67 14.33 205.34 6.695
TOTAL =25.633
So, the chi-square value 25.633
Once the calculation is over we compare value with the
table value, which can be calculated after the degree of
freedom.
8. Degree of Freedom=(r-1)(c-1)
=(3-1)(2-1)
= 2×1
=2
Now we need to check value from the table with
respective to level of significance and degree of
freedom that is 1% or 0.01 and 2……
The table value is 9.210
Hence the calculated value is more than the
table value.
So, our hypothesis is rejected.
