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Ch1-8 Review

13 Oct 2011 BUSI275 Dr. Sean Ho. Ch1-8 Review. HW5 due tonight Midterm next Thu REB forms due Tues. Overview, ch1-8. Ch1 : Variables , sampling Ch2 : Exploring via charts Ch3 : Exploring via descriptives Ch4 : Probability and independence

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Ch1-8 Review

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  1. 13 Oct 2011 BUSI275 Dr. Sean Ho Ch1-8 Review • HW5 due tonight • Midterm next Thu • REB forms due Tues

  2. BUSI275: review Overview, ch1-8 Ch1: Variables, sampling Ch2: Exploring via charts Ch3: Exploring via descriptives Ch4: Probability and independence Ch5: Discrete distribs: binom, Poisson, hypg Ch6: Continuous distribs: norm, unif, expon Ch7, 8: Sampling distributions SDSM (norm and t-dist), binomial Types of problems: % area, conf. Int., n

  3. BUSI275: review Ch1: Introduction Population vs. sample Sampling, inference Statistics, parameters Sampling Kinds of bias in collecting data 4 levels of measurement

  4. BUSI275: review Ch2-3: Exploring Data For nominal variables: Charts: bar/col, pie Joint distrib of 2 vars: pivot table Stats: frequency distribution For scale (quantitative) (interval/ratio) vars: Charts: histogram, ogive (cum), boxplot 2 vars: scatter Time series: line Centre: mean, median, mode, (skew) Quantile: Q1/Q3, %ile, IQR Std dev: σ, s, CV, empirical rule, z-score

  5. BUSI275: review Ch4: Probability Tree diagrams P(A)notation, Venn diagrams Sample space, outcome, event ∩,∪,complement Addition rule: A ∪ B = A + B – (A ∩ B) Mutual exclusivity Conditional probability What does it mean; how to find it (Bayes) Statistical independence Does P(A|B) = P(A) ?

  6. BUSI275: review Ch5: Discrete distributions Binomial: BINOM(x, n, p, cum) x: counting # of successes out of n trials p: probability of success (binom proportion) Poisson: POISSON(x, λ, cum) x: # occurrences within the time period λ: mean (expected) # occ w/in the period Hypergeometric: HYPGEOMDIST(X, N, x, n) X, N: # successes & tot size of population Binomial p = X/N x, n: # successes & tot size of sample

  7. BUSI275: review Ch6: Continuous distributions Normal: NORMDIST(x, μ, σ, cum) Also NORMINV(area, μ, σ),NORMSDIST(z), NORMSINV(area) Uniform: P(x) = 1/(b-a), μ = (a+b)/2, σ = √((b-a)2/12) Exponential: EXPONDIST(x, λ, cum) x: time between occurrences λ: 1 / (mean time between occurrences) λ = expected frequency of occurrences(e.g., occurrences per min)

  8. BUSI275: review Ch7-8: Sampling distributions Sampling distributions: SDSM, w/σ: NORMDIST(), SE = σ/√n SDSM, w/s: TDIST(), SE = s/√n Binomial proportion: norm, SE = √(pq / n) Types of problems: area, μ, thresh, n, σ Area: prob of getting a sample in given range Threshold: e.g., confidence interval n: minimum sample size

  9. BUSI275: review TODO HW5(ch7-8): tonight 10pm REB form due Tue 18 Oct 10pm If approval by TWU's REB is required,also submit printed signed copy to me Midterm (ch1-8): next week Thu

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