A normal distribution forms the basis for many statistical analyses. allowing for precise inferential analysis due to its predictable properties and symmetry. However, real-world data often deviates from normality due to factors like skewness and outliers, creating a monster of a time in getting a good fit.
Join Elaine Eisenbeisz of Omega Statistics as she shows you why and when a normal distribution is important. Elaine will also present a demonstration of checking the normality assumption in a dataset. SPSS statistical software will be used in the demonstration.
Anyone is welcome to attend the webinar. Pre-requisite knowledge of statistics is useful, but not necessary.
There is always some time for Q&A during the live event so bring your questions! And, all registrants will receive a handout and a link to a recording of the webinar. So if you cannot attend the live event, you can watch later at your convenience.
The webinar and recording are FREE! But space is limited.
Feel free to click on any of the webinars listed below to be directed to the Omega Statistics channel on YouTube to view for free!
I will announce new additions to the archived videos in my newsletter as they become available, so so sign up to keep in touch and informed of all the happenings here at Omega Statistics.
I’d love to hear from you about statistical topics or analyses you’d like to see in more detail so send me an email at [email protected] with your ideas and/or suggestions!
JANUARY 12, 2023: ARE WE GOOD TO GO? BASICS OF ACCEPTANCE SAMPLING PLANS – PART 1 ATTRIBUTES SAMPLING
Your process appears to be finely tuned and in control and you now have many lots of finished product that are ready to deliver. Will the product lots be good enough for your consumers? We have ways of testing this without checking every single item in every single lot. Acceptance sampling is one of many quality control measures that will allow you to determine the quality of an entire lot or batch of product by testing randomly selected samples and using, you guessed it, statistics! Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of attribute and variables acceptance sampling plans with help from Minitab software.
JULY 14, 2022: THE MANY WAYS OF INTERPRETATION: P-VALUES, EFFECT SIZES, AND CONFIDENCE INTERVALS
The p-value is probably the most reported statistic in the literature, as well as the most misunderstood and exploited. Not that the p-value doesn’t have its charms, but there are other, more robust, ways to interpret findings from our statistical tests.
Join Elaine Eisenbeisz of Omega Statistics as she provides an overview of p-values, effect sizes, and confidence intervals. Learn how to integrate these three techniques to help you assure that the results you obtain are not just statistically significant, but also meaningful.
SEPTEMBER 30, 2020: ADVENTURES IN PROBABILITY PART I: FUNDAMENTALS
Spend some time with Elaine Eisenbeisz of Omega Statistics as she presents a four-part series on probability.
Part 1 of this four part series begins with the definition of probability and why it is used. Presentation will include the concepts of set notation, Rules of Probability, defining events A and/or B, and the difference between independent and mutually exclusive events.
APRIL 8, 2020: COMMUNING WITH THE DATA: OVERVIEW OF DESCRIPTIVE STATISTICS
What does it all mean? What is a mean? How do I know my data is normal?
IF it’s not NORMAL, does that mean it’s ABNORMAL?
Would you like to get to know your data better? Or maybe you kinda, but not really, understand the difference between a standard deviation and a standard error…
Then join Elaine Eisenbeisz of Omega Statistics as she presents an overview of compiling and interpreting descriptive statistics.
NOVEMBER 21, 2019: META? YOU BETTA! OVERVIEW OF SYSTEMATIC REVIEWS AND META-ANALYSIS
— Want to get a good handle on a treatment effect or risk factor but don’t have the time or means to run your own study?
— Or are you interested in synthesizing the current information into a study that pools data from many studies?
— Do you just like to read lots of journal articles in a particular body of work and want a better idea of what it all means?
Then join Elaine Eisenbeisz of Omega Statistics as she presents an overview of systemic reviews and meta-analysis.
SEPTEMBER 26, 2019: HOW TO BE MORE CONSISTENT: OVERVIEW OF STATISTICAL RELIABILITY
We want our research to be reproducible. That is, we want to be sure that the measurements we use in our testing will give us similar results again and again in repeated testing.
Reliability is essential to building trust in the statistical analysis and measurements we use, and in the results we obtain.
Join Elaine Eisenbeisz for an overview of various reliability tests:
— Inter-rater reliability — Test-retest reliability — Internal consistency reliability — Plus learn about various statistical tests of reliability with a bit of demonstration in SPSS
Anyone is welcome to attend the webinar. Some understanding of correlation is useful but not needed.
NOVEMBER 29, 2018: OVERVIEW OF COX PROPORTIONAL HAZARDS MODELS
Cox regression (also called proportional hazards regression) is used to analyze the effect of several variables on survival or other time-to-event outcomes.
Join Elaine Eisenbeisz to learn about:
— Review of the Kaplan-Meier method with log-rank test — Review of Interpreting Survival curves — Assumptions for Cox proportional hazards models — Analysis & Interpretation of Cox proportional hazards models.
Anyone is welcome to attend the webinar. However knowledge of multiple linear regression and logistic regression will be useful for attendees in understanding the concepts presented.
SEPTEMBER 7, 2018: THOSE DARN RATIOS!
You see them reported in the literature. You see them in your computer output. You add them to your reports.
You even (kinda) understand them!
Or, maybe, not quite?
Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of the how and why of various ratios we use often in statistical practice.
Which ones you ask? How about:
Coefficient of determination
Coefficient of variation
Correlation coefficient
Hazard ratio
Likelihood ratio
Odds ratio
Relative risk ratio
Variance inflation factor
Elaine takes some time during the event to show examples of some of the ratios “at work.”
MAY 25, 2018: AN INTRODUCTION TO BAYESIAN LOGIC
Unlike Frequentist statistics, in which we assume we know nothing about phenomena until we sample and test it, Bayesian statistics allow us to take into account information we already know in our analysis and our conclusions.
Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of Bayesian thought and techniques. Emphasis will be on applications to diagnostic tests and genetics.
FEBRUARY 7, 2018: POWER ANALYSIS FOR SAMPLE SIZE – A BRIEF YET USEFUL OVERVIEW
Want to know how to find the right sample size for your study? Too few subjects and you’ll waste time. Too many subjects and you’ll waste time and money!
Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of power analysis techniques for determining sample size (a priori techniques). Elaine will take some time during the event to work examples in GPower software.
NOVEMBER 8, 2017: RESEARCH DESIGN, RESEARCH METHOD: WHAT’S THE DIFFERENCE?
You’ve developed some possible study questions and are well into your literature review. It is time to start building your study “for reals”.
The next step will be to define your research design and research method. What design should you use to best inform your research? What method would work best with what you have available? What is the dang difference between design and method? (Oh yes, there is a difference).
Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of the types of research designs and methods which are the foundation of building a solid structure for collecting, analyzing, and interpreting your research.
SEPTEMBER 6, 2017: CHARTING YOUR COURSE: NAVIGATING THE LITERATURE REVIEW
A thorough and solid literature review should be your first step in designing a study. Join Elaine Eisenbeisz of Omega Statistics as she shares the tips and tools for navigating the literature review.
JUNE 15, 2016: BACK-TO-BASICS III: P-VALUES AND EFFECT SIZES
Contrary to popular opinion, the p-value is not the most important way, and in many cases not the best way, to support a study’s findings. Find out why effect sizes ARE important to research and why they are becoming more so.
FEBRUARY 17, 2016: BACK-TO-BASICS II: RESEARCH QUESTIONS, HYPOTHESES, AND INFERENCE
In Back-to-Basics I, you learned the Why. Now understand the How. Elaine will present the processes of statistics as relates to the Scientific Method. This webinar is a must-see if you struggle with concepts of hypothesis testing and inference.
JANUARY 20, 2016: BACK-TO-BASICS I: PARAMETERS, STATISTICS, AND CONFIDENCE INTERVALS
Why Statistics? Statistics are just guesses. Good guesses, if applied properly. Learn the value of, and limitations of, statistics in application. Elaine will also explain what some of those pesky statistics terms mean in the real world.
JUNE, 2015: CHI SQUARE AND FRIENDS: FUN WITH CONTINGENCY TABLES
Wondering what to do with those categorical variables? Please join Elaine Eisenbeisz of Omega Statistics as she introduces you to chi-square and similar tests of association using contingency tables. She will also cover the use of contingency tables involving repeated measures.
JANUARY, 2015: OVERVIEW OF LOGISTIC REGRESSION
Logistic Regression is something every researcher should have in his or her statistics toolbox.
Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of logistic regression. Learn how to code your data properly, check your assumptions for analysis, and how to understand and use odds ratios and likelihoods.
DECEMBER, 2014: OVERVIEW OF MULTIPLE REGRESSION
Multiple Regression is one of the most informative data analysis techniques there is!
Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of multiple regression using ordinary least squares techniques (OLS). Learn how to code your data properly, check your assumptions for analysis, and how to use a regression model to predict outcomes.
OCTOBER, 2014: OVERVIEW OF CORRELATION ANALYSIS
So many correlations, so little time!
Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of various correlational analysis techniques. Learn which correlation fits your data best. You will also learn how correlation, chi-squares, and t-tests are related!
AUGUST, 2014: MULTIPLE IMPUTATION: A RIGHTEOUS APPROACH TO HANDLING MISSING DATA
It will sound like cheating, but it isn’t. It’s so righteous dude! Multiple imputation (MI) is an effective and responsible way to handle data which is missing at random (MAR). You’ll find out what that means too…
Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of MI concepts.
FEBRUARY, 2014: GIGO NO-NO’S! PROBLEMS AND SOLUTIONS IN DATA PREPARATION
Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents a few tools and techniques for assuring your data entry and statistical analyses are in good form.
JULY 2013: OVERVIEW OF RESEARCH DESIGNS
You have an idea of what you want to do for your research, but where do you start with the analysis plan? Start with knowing about the types of research designs and their applications. Join Elaine Eisenbeisz of Omega Statistics as she presents a brief yet useful overview of study design.
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