05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 1

Statistics for Molecular Biology and Bioinformatics

Instructor: Ron S. KenettEmail: ron@kpa.co.il

Course Website: www.kpa.co.il/biostatCourse textbook: MODERN INDUSTRIAL STATISTICS,

Kenett and Zacks, Duxbury Press, 1998

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 2

Course SyllabusCourse Syllabus•Understanding Variability•Variability in Several Dimensions•Basic Models of Probability•Sampling for Estimation of Population Quantities•Parametric Statistical Inference•Computer Intensive Techniques - Bootstrapping•Multivariate Analysis - Multiple Linear Regression•Sequential Methods - Statistical Process Control•Design of Experiments

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 3

Course EmphasisCourse Emphasis•Interpretation of Statistical tools and methods•Reliance on Statistical software (MINITAB)•“Learning by doing”•Interactive classroom environment•Responsibility for the course is shared by:

•The instructor•The students•The researchers behind the mini-projects

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 4

Grading PolicyGrading Policy

•A mini-project: 2-3 students per project•An exam at the end of the course

•Final grade split: 50-50

•Difficulty level of final exam will depend on level of efforts put into project

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 5

The mini-project The mini-project

• Defined in collaboration with a researcher

•Has to be completed at the end of the semester

•Has to be interesting/useful

•Should provide opportunity to apply one (or more)Statistical tool taught in the course

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 6

The mini-project - 1The mini-project - 1

Date of Review:

Student Name: Student ID:Student Name: Student ID:Student Name: Student ID:

Project Name: Research sponsor:email:

room/building:phone:

Problem Background:

Data Characteristics:

Assumptions:

Questions to investigate:

Mini Project Description

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 7

The mini-project - 2The mini-project - 2Project Name:

Student Name: Student ID: Exam grade:Student Name: Student ID: Exam grade:Student Name: Student ID: Exam grade:

Sub-Totals:10 09 1 1 1 1 1 1 1 638 1 1 1 247 1 1 146 1 65 04 03 02 01 0

Des

crip

tive

Stat

istic

s

Mea

sure

s of

loc

atio

n

Mea

sure

s of

dis

pert

ion

Nea

sure

s of

ass

ocia

tion

Ran

dom

vari

able

s

Prob

abili

ty d

istr

ibut

ions

Boo

tstr

appi

ng

Poin

t est

imat

ion

Con

fiden

ce in

terv

als

Hyp

othe

sis

test

ing

AN

OV

A

Des

ign

of E

xper

imen

ts

Mul

tiple

reg

ress

ion

Sim

ple

regr

essi

on

7.6

Total:Statitical Tools

Leve

l of U

nder

stan

ding

/ Dem

onst

ratio

n of

Stat

istic

al T

ools

in m

ini p

roje

ct

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 8

The mini-project - 3The mini-project - 3Date of Review:

Student Name: Student Name: Student Name:

Project Name:

Research sponsor:

5 04 03 02 01 0

App

lied

Sta

titi

cal

Tool

s

Ach

ieve

d M

eani

ngfu

ll R

esul

ts

Scie

ntif

ic E

valu

atio

n0

Leve

l of A

chie

vem

ent

/ Dem

onst

ratio

n of

min

i pro

ject

res

ults

Mini project results

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 9

The Process of Solving Problems with StatisticsThe Process of Solving Problems with Statistics

PLAN• Obje ctive s • Que s tions • Assumptions • S cope s • Approa ches • S tra te gy

COLLECT

• Obse rve • Ga ther • Code • Edit • Trans form ANALYZE

• Plot • Look • Es tima te • Dia gnose • Conclude PRESENT

• Interpre t • De scribe • Answe r • Re comme nd

INPUT OUTPUT

The mini-project - 4The mini-project - 4

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 10

Basic concepts and notationBasic concepts and notation

N

n X

S

Population

Sample

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 11

Statistical InferenceStatistical Inference

N

n X

S

Population

Sample

DescriptiveDescriptiveStatisticsStatistics

ProbabilityProbability

05/05/23

(c) 2000, Ron S. Kenett, Ph.D. 12

Statistical Issues in Life SciencesStatistical Issues in Life Sciences