We we had fun yesterday learning about statistical hypothesis testing 😍 in my ISE 225 Foundations of Data Analysis (Engineering Statistics) class
#StatisticalInference #HypothesisTesting #ILoveTeaching
Setting alpha=0.05 means that supposed the null hypothesis is true... it will take a critical fail for you to end up with data convincing you that it isn't (and of course the DM won't let you see the roll).
Rolling a nat 1 in the real world. #DnD #hypothesistesting #statssky #experiments
Null hypothesis: mean is 0. Alternative hypothesis: mean is greater than 0. This is useless. The practical effect should be larger than gamma. Testing null hypothesis where mean=gamma with alternative hypothesis that mean greater than gamma is always allowed.
You can always calibrate your statistical test to focus on a hypothesis about what YOU deem as a practically significant effect… if you so dare. #statssky #hypothesistesting #sciencesky
Online Workshop Alert
Topic: Data-Driven Decisions – The Power of Hypothesis Testing in Business
Register Now: t.ly/DD26OCT
Date: 26th October
Time: 8:00 PM (IST)
Free for All!
Don’t miss this chance to empower your business decisions with data!
#DataDrivenDecisions #HypothesisTesting
Chernoff‑Stein Lemma Expanded for Composite Correlated Hypotheses
Researchers present a Chernoff‑Stein lemma for composite, correlated hypotheses, giving a single‑letter Stein exponent. The 54‑page paper was submitted on 7 Oct 2025. Read more: getnews.me/chernoff-stein-lemma-exp... #chernoffstein #hypothesistesting
In an hour and a half (12:30 UTC / 14:30 CET) I'll give a lightning talk at the online BTS conference about the tool we are putting together for standardizing hypotheses.
Free registration: https://bigteamscienceconference.github.io/
Tool: https://tinyurl.com/hypothesizer
Slides […]
A formal hypothesis test in statistics is a structured method used to determine whether there is enough evidence in a sample of data to infer that a certain condition holds for the entire population.
#hypothesistesting #statisticsmcqs #basicstatistics #learnstatistics #dataanalytics #dataanalysis
🧪🛟 CPH Focus: Type I (α) vs Type II (β) errors—distinguish false positives and false negatives, set your significance level, and harness test power to minimize errors on the CPH exam: buff.ly/cp8oSBs
#EpiSky #MedSky #Biostatistics #HypothesisTesting #PublicHealth #TestPrep
🧪🛟 CPH Focus: Evidence-based hypothesis testing: define null (H₀) vs alternative (H₁), understand one- vs two-tailed tests, and reinforce with practice questions for CPH success: buff.ly/zwhE0de
#EpiSky #MedSky #Biostatistics #HypothesisTesting #PublicHealth #TestPrep
T Table
Master the T-Table for smarter stats! Learn critical values, confidence intervals, and more in our latest guide 👉 blog.certifiedmtp.com/t-table-guid...
Tools here: certifiedmtp.com/lab-supplies/
#Statistics #TTable #HypothesisTesting #StatisticalAnalysis #DataScience #ResearchTools #CertifiedMTP
One article teaches you to quickly master SPSS data analysis:
#SPSSDataAnalysis
#StatisticalAnalysis
#SPSSStatistics
#DataScience
#QuantitativeResearch
#DataVisualization
#HypothesisTesting
#RegressionAnalysis
#SurveyData
#ANOVA
qr.ae/pYW8Z2
Difference between independent samples t-test and paired samples t-test
#TTest
#StatisticalAnalysis
#MeanComparison
#HypothesisTesting
#IndependentSamplesTTest
What is the difference between independent samples t-test and ANOVA?
#tTest
#ANOVA
#HypothesisTesting
#GroupComparison
#StatisticalAnalysis
Understand hypothesis testing to make data-driven decisions with confidence. #datascience #hypothesistesting #dataanalysis leifengblog.net/blog/underst...
Bayes factor and plot
#statstab #148 Bayes Factors and how to use them, via {bayestestR} pkg
Thoughts: A go-to packages for bayesian model inference. Also has a great explanation of BFs, how to use them, and alternatives.
#r #rstats #bayes #BayesFactors #HypothesisTesting
easystats.github.io/bayestestR/a...
Great, high level summary on hypothesis testing! #DataScience #hypothesistesting #data #MachineLearning #science #DataAnalytics
Three Common Hypothesis Tests All Data Scientists Should Know by @dr_keithmcnulty https://link.medium.com/qu3918V3hCb