1. 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

2. 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

3. 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

4. Weight Data: Boxplot Q1 M Q3 min max Chapter 2
Essential Statistics
Weight Data: Boxplot Q1 M Q3
min
max
Weight
Essential Statistics
Chapter 2
Chapter 2

5. 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

6. 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

7. 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