Part I Review Highlights, Chap 1, 2

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Presentation transcript:

Part I Review Highlights, Chap 1, 2 ♫ Frequency table & Histogram plot ◙ interval (bins) Vs frequency ◙ make a frequency table? ◙ Manually draw a histogram ◙ read a histogram? ♫ Stem plot Make and read a stem plot Essential Statistics review

Weight Data: Histogram Essential Statistics Weight Data: Histogram Number of students 100 120 140 160 180 200 220 240 260 280 Weight * Left endpoint is included in the group, right endpoint is not. Essential Statistics Chapter 1 Chapter 1

Parameters to Describe A distribution * Mean versus median * Five number summary, Box plot L(M) = (n+1)/2 Median Five number: Min, Max, Q1, M, Q3 * variance and standard deviation * Mean and stand deviation Essential Statistics Chapter 3

Weight Data: Boxplot Q1 M Q3 min max Chapter 2 Essential Statistics Weight Data: Boxplot Q1 M Q3 min max 100 125 150 175 200 225 250 275 Weight Essential Statistics Chapter 2 Chapter 2

Part I Review Highlights, Chap 3 ♫ Normal distribution N(µ,) 68 – 95 – 99.7 rule ♫ Standard normal distribution N(0,1) Z-score Meaning of z-score How to read Table A, from z to entrance ♫ Applications: handout, and home works application type 1, type 2, and type 3 Essential Statistics review

Part I Review Highlights, Chap 4,5 Essential Statistics Part I Review Highlights, Chap 4,5 Correlation Direction & strength of a linear relationship Direction: positive or negative association Strength: using correlation R to measure ♫ Regression - Least square approach - regression equation: Ŷ = a + bx - R- square (R2), meaning of R2 - R- square versus correlation R - Regression application Essential Statistics review Chapter 3

Part I Review Highlights, Chap 7, 8 SRS How to read Table B: Random Digits Randomization to assign labels or subjects Experiments versus observation Randomization and comparison Double blind & single blind Essential Statistics Review