Formulas applied in Statistics, Cheat Sheet of Statistics

Formulas applied in Statistics. It mainly emphasizes students whose statistics are not a major.

Typology: Cheat Sheet

2024/2025

Available from 06/29/2026

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17 * YHatKs, + - —- Fn nN ° Ardhmelic mean » AM Fe = =x iw — ° Geometric mean, GM, = 34 Hq XQ. Magic... Kn = Artileg { 2 \o xi | "i Th case of foequency distniloudion — Bit, MP ge gh Oo Me 2 Fi = Artileg §-4-2 Flogxi | * Harmonic mean, HM. = By S | + et tet ts) | oe an Mahbubur. Rahman Sharif’ 2303064 CAW-59) (BAV- 62) CamScanner * Median , Me , Th case of ung neuped dala and odd numbert of obsawe Me = ee dh . cbsepyatton In case of ungreuped dota and even num bere of observa}; ons — Me = Arithrehe pean of (4th + htt hy} Th case of fire quency Akchribubion | tn = Lever limit 0? meclion 1 Clogs N f z= Fa N= Tolol frequen “2 oe Wil quencd Me= L ae. Seen " = £4 1 £m = Frequency of median ; clags | Fin = Cumulative frequency \ of ppemedian class 1 i he= length o€ ywedian clogs ° Quonkile a; = Li + » intl) ty Ungreu i sere Becile , Dee eh ee = Fo yh Percentile , ms lig IS - Fm ah fin \ TL Lower Wimt of Medal class + Medes MpxecrLedovied etal oe h |= Heequaney oP Modal clas Rf = ee Fy = frequency of pre-mod al class | Fy = Frequenes of pest -moddl class CamScanner ® * Gre ‘cient of Variakion ’ QM = _ Gx. x 1.004, 3 “ Moment. 4 Ad: = = =A (xi-eY 2 M = 0 Ag si a EH (xp ey > Ag = varance Be 2 2 5% (24 -)” My Se SOG ¢ Karl Pearsen haved pe Flowing co-etiaerds , based upen first fur centoal moments - 95 _ he” i 4A Py ig Ete 2, 2. Y=: Te [fe Skewness | ao ac ye © LON OES 4 Ya = fr % L Pe Karbesis | ” Kard Pearson So- e e ie and af Sheviness , peg 2CR- Me) a ar of ‘ Bonley’s formal for Skewnass , Gte-< Gy +@Qn — 2Me (QD Qg- Qa | [$=] CamScanner f F ih Sih ses Macaw “i. Ghndaed. Beoor, 60 « —& ine sample size Fr In 3 2sample rrean + Ox =z hou ° Vardonce 4 ot = & > (xn 2. 5 * For Positive skewess $. %>-Me> Me Fe. Negative skewness * KX Mel Mo * Relahionship among Mean, Median and Mode Chr distriloubion, of Moderate skewness) ! me Mo = 3(K- Me) * P2>s —> LeptokurnHe (_Mgresl peal] bn 4% —»> Platykurkie { Lewest amang them} . € \ \3 - os p2 =B — > Nestea Paget ~~ ) = + [$=] CamScanner i, sP(xy) = Drea “aii ee BG) = th. Bio 2 88() = ZyX a ‘Kant Reansows co-efficient of soppelalion — ra ce (as) { ssGo. sla zi Fey i * Tes fon commdation co-efcent Cts He significance °F correlation efficient) i —rin2 Ta? = n- 2] 4we tailed fest a A-pr * Test je significance & the regression ao-efhelernd — b= sre pa = Laf= n-2|4wo faled test “| SSCx. S8(¥)~ fn | SPC ay * By OLS mebhod !- G= &@4+Dx oe Ee) ; = aL 6. Ss(® e ° Co-eff cierk of delorminalion , Rr => x 100% [$=] CamScanner Co mplebel Rend omized Design (GRD) * Grand Totah , @l= DEdig = * Coprection team, @T = — ED * Total sum of Square. TSS = ETyy= ou * Treabrenk sum of square, ims => ¥ er * ‘Ever sum of ‘Squaine., FSS = Ss - Tess | Sour e & Degrees of frachon, varanon, | fircedem, Tre MS -(SV ‘A Re z= (sv) | QF) ak Treakment K-A | Feooe ne | =S6 | Total | y= 4 } pre HBSS | | | | T F- tele) [$=] CamScanner