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  1. STATISTICS 243 FORMULAS 1 Source: Rachel L. Webb, PSU, January 2018 Learning Center 1875 SW Park Avenue, Millar Library, Portland, OR 97201 503.725.4448 www.pdx.edu ...

  2. 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

  3. 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.

  4. 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 ...

  5. 20 cze 2024 · If you’re looking for a single concise reference to statistics, then the Statistics Cheat Sheet from MIT is for you. This covers basic to intermediate statistics concepts starting from the ground up—from the definition such as population and sample.

  6. Statistics Formula Sheet. William A. Bevington. Estimation and MLEs. An estimator T of. is unbiased if: E(T) = ; and consistent if: V ar(T) ! 0 and. E(T) ! as. n ! 1. for example, ^2 = s2 = 1. n 1. Pn X2. i=1 i. nX2. is unbiased and consistent. The maximum likelihood estimation ^ is the solution to the equation. @ @ n.

  7. 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?

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