American University of Beirut
School of Arts & Sciences
Department of Mathematics
STAT 210: Elementary Statistics for Sciences
Fall 2016
Instructor: Alice Ashkar
Sections 1-3
Lecture:
Tuesday & Thursday @ 3:30pm-4:20pm
Recitation
Section 1
M @4:00 pm
Section 2
M @ 11:00 am
Section 3
M @ 3:00 pm
Sections 4-6
Lecture :
Monday & Wednesday @ 2:00 pm
Recitation
Section 4
R @ 2:00 pm
Section 5
R @ 3:30 pm
Section 6
R @ 5:00 pm
Chem 001
A. Ashkar
Nicely 211
Nicely 210
Bliss 205
A. Ashkar
L. Rahhal
A. Ashkar
Nicely 211
A. Ashkar
Nicely 415
Nicely 212
Bliss 203
L. Rahhal
L. Rahhal
A. Ashkar
Alice Ashkar :
Office:
Room 113 Bliss Hall Ext. 4238
E-mail
aa103@aub.edu.lb
Office Hours T @ 2:30 pm -3:30 pm
W @ 3 pm – 4 pm
Or by appointment
Lina Rahhal :
Office:
Room 112 Bliss Hall Ext.
E-mail
lr10@aub.edu.lb
Office Hours M @ 10:00-11:00 & M 12:00-1:00
R @ 11:30 – 12:30
Textbook:
Introductory statistics, 8th Edition by Prem S Mann
Course Description:
An introduction to fundamental statistical methods with applications in the
biological and life sciences. Topics include descriptive statistics, probability, inference,
an overview of contingency tables, correlation, linear regression and ANOVA.
Experimental design is emphasized throughout
Grading Policy:
1.
Quizzes ( 2 )
2.
Final Exam
3.
Class Participation and daily work
50%
40%
10%
Quiz Dates :
Quiz 1
Quiz 2
Thursday Oct 6 @ 6:00 pm
Monday Oct 31 @ 6:00 pm
Nicely 500
Nicely 500
Course Learning Outcomes
1)
2)
3)
4)
5)
5)
Understand how statistical methods are used in research.
Apply them in their own research,
Summarize, organize, and interpret data
Use and interpret basic probability
Apply Some statistical tests in analysis of data
Use them as a basis for more advanced Biostatistics courses
Student Outcomes Addressed In this Course
Upon completion of this course the student should be able to:
 Organize Data in frequency distributions and graphical representations
according to the different types of data
 Calculate measures of central tendency , dispersion for a set of data (both
grouped and ungrouped data) .
 Determine the quartiles in a set of data and decide whether the data
includes outliers
 Apply and interpret basic probability
 Apply and use Binomial probability distribution.
 Apply and use the Normal distribution .
 Sampling distribution of the mean and proportions ( one sample )
 Apply and use the t-distribution
 Construct confidence intervals for population mean both cases population
standard deviation known or unknown
 Construct confidence intervals for population proportions
 Conduct a test of hypothesis about a mean and interpret the results for
both large & small sample sizes
 Find the P-value and interpret its meaning
 Apply the Chi-square test
 Apply the ANOVA
 Correlation and simple linear regression