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ABTest Taking Strategies 📝 Reading Comprehension #exams #tests #studytips #testtips #abriteedu
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TEHypothesis Testing:- 🧠 Understanding Hypothesis Testing in Data Science & Machine Learning Project ( Before deployment the Project )
Hypothesis Testing is a fundamental concept in statistics that helps us make data-driven decisions. Whether you're validating assumptions or comparing models, this tool is essential.
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🔍 What is Hypothesis Testing?
It’s a statistical method to test an assumption (hypothesis) about a population parameter using sample data.
✅ Key Terms You Must Know:
📏1. Null Hypothesis (H₀)
The assumption we start with — e.g., “There is no difference between A and B”
🎯 2. Alternative Hypothesis (H₁)
What we’re trying to prove — e.g., “There is a significant difference between A and B”
📉 3. p-value
Probability of observing the data if H₀ were true.
Low p-value (< 0.05) → Reject H₀
High p-value → Fail to reject H₀
🔁 4. Significance Level (α)
Threshold (usually 0.05) to compare with the p-value.
5. Type I Error (False Positive)
Rejecting H₀ when it’s actually true.
🔁 6. Type II Error (False Negative)
Failing to reject H₀ when H₁ is actually true.
📈 Common Tests:
t-test :- Compare means between two groups
z-test :- Known population variance and large sample
Chi-square test :- Categorical data relationships
ANOVA :- Compare means across 3+ groups
Shapiro-Wilk / KS test :- Check for normality
🧪 Example:
Problem: Does a new marketing strategy increase sales?
H₀: No change in sales
H₁: Sales increased
If p < 0.05, we reject H₀ and conclude the strategy likely worked 🎯
🔗 Why It Matters in ML?
~ Feature selection
~ Model assumptions (e.g., residuals in linear regression)
~ A/B Testing for product changes
~ Validating trends or business hypotheses
📌 Takeaway: Hypothesis testing is more than a formula — it's a mindset for making confident, data-backed decisions.
🧠 Choosing the Right Hypothesis Testing for your goal.
#HypothesisTesting #ab #datascience #interviewtips #dataanalytics #datasciencejobs #machinelearning #problemsolvings
@tech_jroshan
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DRMost researchers pick between independent and paired t-test based on vibes.
Here is the actual logic — and it comes down to one question.
Are your two groups completely separate? Or is it the same group measured twice?
That one answer decides your test.
Save this before your next analysis. 📌
Day 4 of breaking down statistical tests, one concept at a time.
Day 5 coming — ANOVA vs t-test. Follow so you don’t miss it.
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@dranjaliunfiltered
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BIthis is so much easier #fyp #pentest #ai #qwen3b #autopentest
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PAIntelligence test✅️
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SOManual Testing important difference between questions and answers
1) Static Testing vs Dynamic Testing
2) Verification vs Validation
3) Functional vs Non Functional
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AUManual testers 👇
Stop writing test cases manually.
AI can generate:
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DM “PROMPT” and I’ll send the templates.#manualtesting #qatesting #ai #automation #playwright
@automationwithnaveen
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ELANOVA, Student’s t-test, distributions… There are so many statistical tests in science!
But how do you actually run them?
For this purpose, use Julius AI @try_julius.ai , your ultimate data analyst!
You can ask Julius AI any questions about your data, including whether it’s normally distributed. Then, you can ask Julius AI to run the test for you and explain the result to you.
This way, Julius AI helps you not only analyse your data, but also explain it, and better understand it.
📍Use Julius AI today to advance your statistical analysis! Find the link in my bio!🔗
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@elina_in_science
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CAManual testing full course for beginners
#softwareengineer #manualtestingcourse #qualityassurance #sdet #softwaretester
@careerinsoftware
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ELDid you know about this test method? ⬇️⬇️
@elif.codes
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PY¿Sin tests? Sin confianza. Te explico Unit, Integration y E2E en 60s y cómo combinarlos con la pirámide de testing para ir rápido sin romper producción. #testing #softwaretesting #unittest #integrationtest #e2e #qa #dev #programacion #backend #frontend
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SRRoadmap: Manual Tester to Automation Tester
Save it and Share it....
Follow @software_testing_trends for more
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