30.0K
DU“Stat Padding” is FAKE?!?!
#matthewstafford #lebron #nflplayoffs #jokic #greenscreen
@dubsonlysports
#Stat Padding Meaning
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Reel di Tendenza
(12)
694.8K
AUStat padding, Barty? 😂💙
@australianopen
219.4K
JOHere are the rules:👇🏼
1) You must play at your current standard of cricket and for your current team (age and league) - no stat padding!
2) You can play up to 4 matches a week
3) Indoor cricket does not count
4) You are allowed to play abroad during your off season
5) All matches are official league / cup (no friendlies and no match fixing)
Are you taking the money or are you backing yourself? Vote below! ⚖️
#cricket #cricketfans #cricketreels #ipl #cricketmatch
@joe_keeps
4.4M
TEDoes stat padding ruin the game?
Follow me @technicalfouls for more!
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Stat padding in the NBA is a hot topic among fans and analysts. It refers to when players inflate their stats, often at the expense of team success, to boost their individual numbers and potentially their contract value or legacy. A prime example is when a player takes a late-game shot that’s not necessary, just to add to their scoring total. While there’s no official rule against stat padding, it’s generally frowned upon as it can disrupt team flow and lead to selfish play.
The debate around stat padding raises questions about what it means to be a team player. Players like Russell Westbrook have faced criticism for their stat-padded triple-doubles, where they might force plays to get a rebound or assist instead of letting a teammate get the credit. On the other hand, some argue that players are just doing their job and maximizing their opportunities. The NBA’s shift towards advanced metrics and analytics has also changed how we view stat padding, with some players prioritizing efficiency and others chasing traditional box score numbers. Where do you draw the line between legitimate play and stat padding?
@technicalfouls
8.0K
STWhy the "Average" doesn't tell the whole story... 🧐📉
Ever looked at a dataset and felt like the mean was lying to you? That’s because the "Average" is just the starting line.
To truly understand your data, you need to look at the SPREAD.
In this video, we break down:
✅ How to calculate the Mean step-by-step
✅ What "Deviations" actually look like
✅ Why we use n-1 (Bessel’s Correction) for samples
✅ How Standard Deviation creates a "Typical Range" for your data
Whether you're studying for an exam or analyzing a side hustle, mastering Standard Deviation is your secret weapon for spotting consistency (or chaos!) in numbers. 🚀
The Golden Rule: High SD = High Variance (Unpredictable)
Low SD = Consistent Data (Reliable)
Which stats concept should we animate next? Let me know in the comments! 👇
#statistics #datascience #maths #statanimated #standarddeviation #variance #stem #datavisualization #learnoninstagram
@statisticallyanimating
11.3K
KAR squared in statistics
#stats #statistics #maths #datascience #ml
@karinadatascientist
378.9K
ICSTAT | Une série dramatique à voir sur ICI TOU.TV 👶
@icitoutv
229
DLStop Typing Value Labels in SPSS! #spss #education #dataanalytics
@dlink026
2.9K
MLFollow @ml_ka_keeda for more such videos
Here is the explanation 👇👇👇
Variance and standard deviation are ways to measure how spread out your data is - basically, how much values differ from the average.
Let’s use a simple real-life example
Example: Daily Commute Time
Suppose two people, A and B, both take on average 30 minutes to reach office.
Person A’s commute (in minutes):
28, 30, 32, 29, 31
👉 Times are very close to 30
Person B’s commute (in minutes):
10, 50, 20, 60, 10
👉 Times vary a lot
What’s happening? 🤔
• Both have the same average (mean = 30)
• But their consistency is different
__________
Variance
Variance measures how far each value is from the mean (on average, squared)
• Person A → low variance (values are close to mean)
• Person B → high variance (values are spread out)
👉 Think of variance as: “How unpredictable is the data?”
⸻
Standard Deviation
Standard deviation is just the square root of variance
Why? Because variance uses squares (which are harder to interpret)
So standard deviation brings it back to original units (minutes)
• Person A → low standard deviation → consistent commute
• Person B → high standard deviation → very unpredictable commute
In simple words - Variance measures how spread out data is from the mean, and standard deviation tells that spread in the same unit as the data, making it easier to interpret
#statistics #viral #datascience #aiml #trendingsong
[insta new algorithm, viral post, trending video, video creator, educational video, influencer, teach and learn]
@ml_ka_keeda
323.7K
HUHow to ACTUALLY bottom and top tick…
@huss.trades
3.2K
KASPT OP telat… tapi tidak kena denda?!
Bukan hoaks.
Tapi juga bukan bebas selamanya.
👉 Ini hanya “jeda napas” dari DJP.
Kalau Anda masih santai…
justru itu yang bahaya.
⏳ Deadline real: akhir April.
Setelah itu? Kembali normal. Tanpa ampun.
#infopajak #konsultanpajak #edukasipajak
#SPTTahunan #CORETax
@kadek_sumadi
40.2K
PLWhy Math Squares the Truth! (Variance vs. Standard Deviation) 📉📏
In Statistics, everyone talks about "The Spread." But why do we have two different numbers to measure it?
It all comes down to a "Unit" problem that makes Variance a bit of a weirdo.
1. The Average Gap (The Mean) 📍
Imagine the average height of your friends is 6 feet. Some are 6'2", some are 5'10".
2. The Mathematical Middleman (Variance) 🧮
To find Variance, we calculate how far each person is from the average and Square it.
Why square it? Because if we just added the differences, the negatives (people shorter than average) and positives (people taller) would cancel each other out to zero. Squaring makes everything positive!
The Problem with Variance:
If we are measuring height in Inches, the Variance is measured in Square Inches.
Have you ever met someone who is "25 square inches" taller than you? Of course not! Variance is great for math, but it makes no sense in the real world.
3. The Reality Check (Standard Deviation) ✅
To get back to reality, we take the Square Root of the Variance. This is the Standard Deviation.
Now, our answer is back in Inches. It tells us, on average, how much any single person deviates from the "normal" 6-foot height.
Variance: The math tool used by computers.
Standard Deviation: The "human" number we actually use to describe data.
Follow @plotlab01 for more Data Science & Stats explained!
Variance vs Standard Deviation, Statistics Basics, Data Spread, Measures of Dispersion, Probability and Statistics, Square Root Math, Data Science for Beginners, Normal Distribution, Bell Curve, Variance Explained, Plotlab01.
#Statistics #DataScience #MathFacts #Analytics #Probability
@plotlab01
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