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1 ••• Master List of Formulas Chapter 1 IntroduCtIon and desCrIptIve statIstICs NONE. Chapter 2 FrequenCy dIstrIbutIons In tables and Graphs Σx (Frequency) Σx n (Relative frequency) Σx n × 100 (Relative percent) Chapter 3 summarIzInG data: Center tendenCy µ= Σx N (Population mean) M = Σx n (Sample mean) M Mn w n = Σ × Σ (Weighted sample mean) Chapter 4 summarIzInG data: varIabIlIty
Linear Regression Model. Population Version: Mean: PY x E ( Y ) E 0 E 1 x Individual: y E E x H. 0 1 i. where H is N ( 0 , V ) Sample Version: Mean: y ˆ b b x.
Note: textbooks and formula sheets interchange “r” and “x” for number of successes Chapter 5 Discrete Probability Distributions: 22 Mean of a discrete probability distribution: [ ( )] Standard deviation of a probability distribution: [ ( )] x Px x Px µ σµ =∑• =∑• − Binomial Distributions number of successes (or x ...
Chapter 13 considers the subject matter of quality control, a key statistical tech-nique in manufacturing and production processes. A variety of control charts, includ-ing not only the Shewhart control charts but also more sophisticated ones based on moving averages and cumulative sums, are considered.
List of Formulae and Statistical Tables. Cambridge Pre-U Mathematics (9794) and Further Mathematics (9795) For use from 2017 in all papers for the above syllabuses. CST317. . PURE MATHEMATICS. Mensuration. Surface area of sphere = 4πr2 Area of curved surface of cone = πr × slant height. Trigonometry. a2 = b2 + c2 − 2bc cos A.
Stat 101 Formulas Brian Powers, Summer 2014 Sample Statistics Sample mean ̅= 1 ∑ 𝑖 𝑖=1 Sample variance 2= 1 −1 ∑( 𝑖− ̅)2 𝑖=1 = ∑ 𝑖 2− ̅2 −1
Learning Objectives: Calculate various measures of central tendency—mode, median, and mean. Select the appropriate measure of central tendency for data of a given measurement scale and distribution shape. Know the special characteristics of the mean that make it useful for further statistical calculations. What Is Central tendency?
