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xxwiredxx.bsky.social
⛉⚔ ᵂⁱᴿᵉᴰ•ᵁˢᴰ ⚔⛊ 🧶
@xxwiredxx.bsky.social
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ʙ.ꜱ. ᴄɪꜱ, ᴍᴀᴛʜᴇᴍᴀᴛɪᴄꜱ. ᴄʏʙᴇʀꜱᴇᴄᴜʀɪᴛʏ | ᴘʀᴏɢʀᴀᴍᴍɪɴɢ | ɴᴇᴛᴡᴏʀᴋɪɴɢ | ᴅᴀᴛᴀʙᴀꜱᴇꜱ #AMC #NotADeadCat 🧶 My Memes are Your Memes 🫂 #OPWallStreet #NAFO 😽 Use Your Voice www.whitehouse.gov/contact/
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At least they are finally doing things as a couple 🤷‍♂️
"Convergence In Distribution" describes the behavior of a sequence of random variables as the sample size approaches infinity. (Weakest Convergence)
"Convergence In Probability" signifies that the sequence is "converging" towards that specific value with high probability as more data is collected. (Weaker Convergence)
"Mean Convergence" signifies that the expected value of the difference between the sequence and the limit converges to zero. (Strong Convergence)
"Almost Sure Convergence" happens "for almost all" possible outcomes in the sample space, with the exception of a negligible set. (Strong Convergence)
In normal distribution, approximately 68% of the data falls within one standard deviation of the mean, approximately 95% of the data falls within two standard deviations of the mean, and approximately 99.7% of the data falls within three standard deviations of the mean (Three-Sigma).
When the introvert inside me has to be social.