22.8K
MAReal analysis is a *scam* (not really, but hear me out) #math #realanalysis #numbertheory #padicnumbers #stem
@mathandcobb
#Analysis Vs Analyses
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UMTechnical Analysis vs Fundamental Analysis - What should you focus on?
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MASituational analysis explained!👀
Follow us @makestockmoney for more amazing content like this.
#makestockmoney #tradingtips
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PUFundamental Analysis Vs Technical Analysis
#StockMarket #FundamentalAnalysis #TechnicalAnalysis #Analysis #PushkarRajThakur #GoSelfMade
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PHStop suffering in silence. These tools will level up your analysis game!
Which one’s your fav?
Comment down👇🏻
#dataanalysis #phdlife #statsmadeeasy #dataanalysis #rstats #prism #researchtools #scientificreels #academiaa #phd #phdwithanjali #juliusai @try_julius.ai
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CHCHART ANALYZER AI
Free trading Chart analysis tool
...........
Link in bio
www.chartanalyzerai.com
#ChartAnalyzerAI #chartanalysis #analysis #stockanalysis
@chartanalyzerai
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STYour stock may be good…
but technical analysis tells you WHEN to buy and when to avoid. 📊⚡
Read the charts like a pro:
➡️ Candlestick patterns
➡️ Support
➡️ Resistance
➡️ Trendlines
➡️ Volume
Price tells a story.
Technical analysis helps you listen to it.
Save this to improve your timing! 🚀
[Stonkzz, TechnicalAnalysis, StockCharts, TradingBasics, PriceAction]
@stonkzz._
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IL🚫 p-hacking 🚫
#statistics #science #estadística #investigation #math
@illariy.ai
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DAPerbandingan Data Warehouse vs Data Analytics vs Predictive Analytics di bidang Data 📊
Komen "KIRIM" supaya dapat 3 artikel untuk belajar tentang ini 🔥
#kecerdasanbuatan #datascience #dataanalytics #dataengineering #davechristianthio
@davecthio
560.3K
STstaying true to my username
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.
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Statistics is the foundation of data analysis and inference across many disciplines. In hypothesis testing, statistics provides the rigorous framework for using sample data to make objective decisions about a population. This involves formulating a null hypothesis (H_0) and an alternative hypothesis (H_a), calculating a test statistic (like t-score or Z-score), and determining a p-value to assess the statistical significance of the evidence against H_0. In Machine Learning (ML), statistics is essential for tasks like Exploratory Data Analysis (understanding data distribution and variability), feature selection, and especially model evaluation (using metrics, confidence intervals, and hypothesis tests to compare models and validate predictions). For Time Series Analysis, statistical methods like ARIMA (Autoregressive Integrated Moving Average), moving averages, and autocorrelation are used to decompose data into components like trend, seasonality, and residual, enabling the identification of underlying patterns and robust forecasting of future values. Beyond these, statistics plays a crucial role in areas like experimental design, quality control, and risk assessment by quantifying uncertainty and providing reliable, data-driven conclusions.
This is not my content. All credits to the owner. Dm for credit / removal
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#math #statistics #computerscience #stats #cs #mathmemes #mathedits #statsandcs
@statcsmemes
1.9K
MEStatistics is NOT just for statisticians.
It’s the secret weapon of every Data Analyst.
Each dataset hides a story, and distributions help us decode it.
👉 A quick cheat sheet for you (save this!):
1. Normal = classic bell curve
2. Uniform = equal chance
3. Binomial/Bernoulli = success vs failure
4. Poisson = rare events
5. Log Normal = skewed data
6. Gamma/Beta = flexible shapes
7. Geometric = time until first success
⚡ Knowing the right distribution = better insights, smarter decisions.
Ask yourself:
What story is my data’s distribution telling me?
Which of these do you use most?
--
Follow @jayenthakker and @metricminds.in
➕ Dedicated to helping aspiring data analysts thrive in their careers.
--
#dataanalytics #datascience #data #metricminds #datavisualization #analytics #artificialintelligence #python #ml #careers #sql #careerswitch #trendingreels #foryoupage #learning
@metricminds.in
2.3K
VAFundamental Analysis vs Technical Analysis 📊
Stock market में दो तरीके सबसे ज़्यादा use होते हैं —
Fundamental Analysis और Technical Analysis.
एक company की strength देखता है.
दूसरा chart की direction पढ़ता है.
Smart trader क्या करता है?
Stock select करने के लिए Fundamental…
और perfect entry के लिए Technical.
Agar aap trading या investing सीखना चाहते हो
तो दोनों को समझना बहुत जरूरी है.
Follow @VaayuCapital for more stock market learning.
#stockmarketindia #tradingstrategy #fundamentalanalysis #technicalanalysis
@vaayucapital
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