SYLLABUS
I.
General information
1. Faculty:
Business
2. Course Name:
Descriptive Statistics – STAT 122
3. Prerequisite:
Math Level – MATH 100
4. Number of credits:
3
5. Semester:
1
sSemester: September – December 17, 2019
6. Course Instructor:
Dr. Rosa Padilla de Casamayor
7. Course Website:
https://sites.google.com/a/upeu.edu.pe/rosa-padilla/
8. Course Venue/Time:
Tuesday 2:00 – 5:00
9. Consultation Time:
Thursday 10:30 12:30 at professor’s office
II.
Course Description1. Nature of subject. The Course is theoretical and practical and belongs to subarea of Mathematics and Statistics
2. Purpose. Provide to students with the conceptual basis of statistical analysis univariate and bivariate descriptive in order to organize, analyze, and transform data and to present the information graphical and numerical which should be used to make decision that affect our daily lives.
3. Topics to learn. Basic statistical principles; percentages, ratios, tables, chart, and graph, measures of central tendency, dispersion and location. Skewness and kurtosis. Probabilities; random variable, probability distributions. Application of Normal Distribution. Bidimentional. Correlation and Regression.
III.
Learning outcomes (Competences/Skills and objectives).
1. Knowledge and understanding:
By the end of the course the students should have gained an understanding of the underlying theory and an ability to read and interpret statistic reports which are presented in books, journals, newspapers, government reports, and also in statistical websites like NISR, UNICEF, UN, etc.
To learn to understand the main features of traditional and modern statistics.
2. Cognitive-intellectual-application of knowledge:
At the end of the course, the student will be able to collect, organize, and work with raw data in order to construct and analyze statistical report to support educational decisions.
3. Communication-ICT-Analytic Techniques-Practical Skills:
At the end of the course, the student will be able to get statistics through scientific calculator, as well as to get basic statistics using SPSS V. 23 and Excel.
At the end of the course, the student acquires a working knowledge of how to apply statistics in education situations and they will be able to transfer statistical knowledge to others, and apply his/her skills in different domains in the common life, special in their research.
Course Content
Chapter 1: History and development of statistics - descriptive statistics through tables and charts
Session Date Objectives [LearningCapabilities] Contents to study inclassroom Learning outside theclassroom (Assignments)
1. 10/09
To understand the importance of statistical report on decision making.
To comprehend the classification of descriptive and inferential statistics
Review of syllabus and course requirements. Definition and importance of Statistics. Variables: ratio, Interval, Ordinal and Nominal Scale. Types of data, Definition of statistical terms. Descriptive and inferential statistics and its scope
Students develop and articulate a biblical worldview, integrating faith with learning through the study of descriptive statistics.
Assignment # 1
2. 17/09
To determine the applicability of
Statistics in educational research educational. To know the theory and principles for
Constructing Effective Questionnaires
Statistics and Research Methods in Education Data collection technique; Determine the type of questionnaire and method of administration.
Read the statistics class posted on the website course, and construct the questionnaire in group of 3.
3. 24/09
Statistics deals with the collection, analysis, interpretation, and presentation of numerical data. To get ability in construction of statistical tables
Presentation of Data: percentages, ratios. Discrete frequency distribution, Sturge’s rule, continuous frequency distribution
Continue Solving the assignment # 1
4. 01/10 To graph statistical chart according the type of data
Graphical presentation of data: pie charts, histogram, frequency curve, stem and leaf chart, Box plot.
Construct Mind map for the terms that you learn in chapter 1
Chapter 2: Describing Data: Numerical measures
Session Date Objectives[Learning
Capabilities]
Contents to study in classroom Learning outside theclassroom (Assignments)
1. 08/10
To understand and interpret measures of
central tendency:
Statistical average,
characteristics of a good statistical average.
Measures of Central Tendency: Arithmetic Mean, Median and Mode.
Partition Values: Quartiles, Deciles and Percentiles, Box Plot, Percentile ranks. Situations where one kind of average is preferable to others.
Solve assignment # 2
2. 15/10 To understand and interpret measures of variability Quiz 1.
Measures of dispersion: Concept of dispersion, Range, Standard deviation, Coefficient of variation.
Continue Solving the assignment # 2
4. 22/10 To analyze data using skewness and kurtosis
Skewness of frequency
distribution, positive, negative or symmetric skewness.
Kurtosis. Interpretation using Box plot. Kurtosis, leptokurtic, mesokurtic and platykurtic frequency distributions.
5. 29/10
To review and strengthen the knowledge acquired so far.
Discussion and clarification of doubts to strengthen the knowledge for the Midterm Assessment.
Introduction to SPSS V. 23
Clarification of doubts to strengthen the knowledge for the Midterm Assessment
6. 05/11
To evaluate the ability of calculate and interpret statistical information
Midterm Assessment Construct Mind map forthe terms that you
learn in chapter 2
Chapter 3: Elementary Probability Theory
Session Date Objectives[Learning
Capabilities] Contents to study in classroom
Learning outside the classroom (Assignments)
1. 12/11 To learn the role of probabilities in statistic
Probability: What is probability? Random experiment,
Outcomes, Events. Classical probability, properties of probability.
Read about Story of probabilities (Material given by the lecturer)
2. 19/11 Compute Probabilities using a Contingency Table
Contingency Tables Solve assignment # 3.
3. 26/11
Learning how to handle SPSS statistical software
SPSS introduction I: basic function, constructing data, graphs and analyze the descriptive statistics
Practice in the computer lab
4. 03/12 To go forward with probability distributions
Continuous Random Variables and Probability Distribution. The Normal Distribution. Use of normal table distribution. Applications of normal distribution.
Continue solving the assignment # 3 with application of normal distribution
Unit 4. Association between Variables Measured at the interval-Ratio Level and the Ordinal Level
Session Date Objectives[Learning
Capabilities] Contents to study in classroom
Learning outside the classroom (Assignments)
1. 10/12
Be acquainted with simple tools used to study the relationship between two variables
Scattergrams, The Correlation Coefficient Pearson, Testing Pearson’s for significance, interpreting Coefficient of Determination
Conduct and correctly interpret correlation analysis.
2. 17/12
Estimate the regression coefficients of the simple linear regression model using the method of least squares; Be aware of the basic principles or assumptions.
Estimation Using the Method of Least Squares and prediction, Assumptions Underlying Linear Regression.
Conduct and correctly interpret regression analysis
Solving assignment # 4.
knowledge
acquired so far. knowledge for the Final Assessment. knowledge for the Final Assessment
4
To evaluate the ability of working with statistical information
Final Assessment
The feedback is very important in the process of teaching and learning, it is why the student has the opportunity to review their examination after being evaluated.
IV.
Methodological Strategies [Learning and Teaching Strategies]
Cognitive
1. Reading comprehension 2. Brainstorming
3. Oral and visual presentation 4. Conceptual maps
5. Group dynamics, etc.
Application
1. Study of cases 2. Decision making 3. Demonstrations, etc.
Integration Activities ("Faith in Teaching and Learning")
1. Worship at the beginning 2. Biblical reflections 3. Witnessing of faith
4. Using biblical references in academic work, etc.
V.
Student Conduct (Rules according to Academic policy)
Attendance is mandatory To be Punctual
Participation is encouraged; try to participate in class by asking questions, giving inputs and comments
Avoid plagiarism Avoid Cheating
Avoid the use of phones
Don’t leave the classroom for any reason, unless you have an emergency and request permission to the professor, etc.
VI.
Examination [Assessment Strategy/Assessment Pattern]
# Period
Formative Evaluation - Description
Weighted
1 29/10 Mid-Semester Examination 30%
2 17/12 Final Examination 40%
3 Throughout the
Semester Quizzes and Assignments during all the semester 20%
4 Throughout theSemester Formative Attitude: Corresponds to the observable behavior: Attendance and Punctuality, Responsibility, Participation, Honesty, etc
10%
VII.
Strategy for feedback and Student Support during the Course:
The feedback will be done at the beginning of each class. We will also invest time discussing about the quizzes, assignments and answering the questions and doubts during the classes.
Please, don’t keep doubts about the classes; fell free to interrupt in class to get better understanding, this is considered as good participation.
You should consult about the classes and assignments on the allotted period which is written above in the general information.
VIII.
References
Cohen, L. & Holliday M. (1982). Statistics for Social Scientists. London: Harper & Row Ltd. (300.28 C678).
Healey, J. (2005). Statistics a Tool for Social Research (7th Ed.) United States of America:
Thomson. (519.5 H 434)
Hinkle, D., Wiersma, W. & Jurs, S. (2003). Applied Statistics for the Behavioral Sciences (5th
Ed.) USA: University of Toledo.
Howell, D. (2004). Fundamental Statistics for the Behavioral Sciences (5 th Ed.) USA: Thomson
Wadsworth (519.5 H864).
Howitt, D. & Cramer, D. (2008). Statistics in Psychology (4th Ed.) England: Prentice Hall Europe.
(150 H863).
Keller, G. & Warrack, B. (2000). Statistics for Management and Economics (5th Ed.) Canada:
Duxbury.
Levine, D. & Stephan, D. (2010). Even You Can Learn Statistics (2nd Ed.) United States of
America: Pearson Education. (519.5 Lev)
Wiersma, W. & Jurs, S. (2005). Research and Methods in Education (8th Ed.) United State:
Pearson (Library)
Sanders, D & Smidt, R. (2000). Statistics: A first course (6th Ed.) United States of America:
McGraw-Hill Higher Education. (519.5 San 2000 c.1).
Van, M. (2009). Measurement and Statistics for Teachers. New York: Taylor & Francis.
IX.
Internet LinksPadilla, R. (2011). Course website: Class, data sets, syllabus, handouts, etc. Retrieved from: https://sites.google.com/a/upeu.edu.pe/rosa-padilla/
National Institute of Statistics of Rwanda. Link: https://www.statistics.gov.rw/ National Bank of Rwanda: http://www.bnr.rw/index.php?id=213;
RStatsInstitute. (2011). Excel and Economics Statistics. Retrieved from:
https://www.youtube.com/watch?v=QkG9K7BYz_c&index=1&list=PL09A6B27CDCD97205 United Nations Statistics Division. Link: http://unstats.un.org/unsd/databases.htm
UNICEF – Rwanda. Link: http://www.unicef.org/rwanda/education.html
Ministry of Education - Rwanda. Link: http://www.mineduc.gov.rw/innovation/spip.php?article915 Millennium Development Goals Indicators. Link: http://mdgs.un.org/unsd/mdg/Default.aspx The Millennium Development Goals Report 2014. Link:
http://mdgs.un.org/unsd/mdg/Resources/Static/Products/Progress2014/English2014.pdf Tutorials SPSS. Retrieved from
Garson, D. (2012). Online Textbook - One of the most comprehensive statistics texts on the internet presented with a social science orientation. Retrieved from:
http://www2.chass.ncsu.edu/garson/pa765/statnote.htm
The Data and Story Library - a nice collection of data sets with codebook and background information. Link: http://lib.stat.cmu.edu/DASL/
Stat Notes: Online Textbook by Professor G.D. Garson - One of the most comprehensive statistics texts on the internet presented with a social science orientation. Link: http://www2.chass.ncsu.edu/garson/pa765/statnote.htm
