### Statistics for Communication Research COM 302 P

SCHOOL OF COMMUNICATION

MASTERS IN COMMUNICATION PROGRAM

COURSE OUTLINE

COURSE CODE COM 302

COURSE TITLE: STATISTICS FOR COMMUNICATION RESEARCH

Lecturer – Dr Rachel Waithaka                    Email:rachelwnyamu@gmail.com

Consultation hours:  Monday  4.30-5.30 pm                      Office : Communication Dept. Faculty Lounge

CLASS VENUE: DAC 202         TIME: 5.30-8.30 pm     DAY: MONDAY

JANUARY SEMESTER  2020- Class  A, B, T, X, P(X)

# Course Objectives

Any statistically based information, which has to be communicated to a consumer, requires prior compilation, analysis and interpretation of collected numerical data.

The purpose of this course is to provide you with statistical background needed for such communication. The course provides useful techniques used in handling statistical information for use in communication research, practice and business.   You will be exposed to various statistical computations, interpretations and conclusions with a view to applying them in research techniques.

Learning Outcomes

The course will specifically enable the student to:

1. Define and distinguish the terms used in statistics.
2. Give examples and explain the relevance and significance of statistics in behavioral sciences.
3. Collect, organize and analyze basic descriptive and inferential statistical data used in research.

4. State and test hypotheses about given statistical parameters

# Prerequisites

For better understanding of the subject, basic knowledge in introduction to Basic Algebra, especially operations of Real Numbers (addition, subtraction, multiplication and division) is an essential tool in this course.

# Teaching Methodology

There will be three hours of face to face interactive learning every week.  The mode of instruction will be interactive teaching with practice questions inform of class and take away assignments.  You will be asked to go over the necessary reading materials before and after every class for better cumulative understanding of the subject.  For you to successfully participate in the class, scientific Calculators MUST be brought to the class room all the time.

# Course Content and Approximate Time Schedule

 Date Topic Subtopic Activities Week 1 Introduction ·         Definition of statistics Terms used in statistics; Statistic, population, sample, variable. ·         Role of statistics in Communication Research 1.Students introduce themselves  in class 2.Presentation of the course outline  to students 3.Students ask questions and  clarifications on the course outline 4.Lecture on Introduction to  Statistics 5. Assignment one given on Sampling Week 2 Measurement scales , Data collection methods in statistics ·         Nominal, Ordinal , interval and ratio scales of measurement,  Questionnaires, Observation, interviews, FGDs etc 1. Lecture 2.  Discussions Week 3 Methods of data Presentation ·         Tables, charts, graphs and their uses in research 1. Lecture 2. Construction of data tables 3.Discussions Week  4 Frequency Distributions Frequency distributions    Histogram and Frequency Polygon Cumulative frequency Examples, applications 1. Lecture 2.Drawing Graphs 3.Discussions Week  5 Measures of central Tendency ·         Mean, Mode, Median, quartiles        ·         Deciles, Percentiles 1. Lecture 2. Calculations 3. Discussions Week  6 Measures of Dispersion  and position ·         Range, Quartile Deviation, ·         Mean deviation, Standard deviation ·         Application 1. Lecture 2. Calculations 3. Assignment  2 given Week 7 Correlation ·         Bivariate frequency distributions ·         Scatter diagram ·         Correlation ·         Coefficient Correlation 1. Lecture 2. Calculations 3. Draw scatter Diagrams 3. Discussions Week 8 CAT One Sit in Cat. Week 9 Regression ·         Line of best-fit ·         Simple linear regression ·          Coefficient of linear regression Applications 1. Lecture 2. Calculations 3. Discussions Week 10 Probability Distributions,  Sampling theory ·         Definition of probability ·         Types of probability distributions ·         Normal Distribution ·         Populations and samples ·         Sampling Distributions 1. Lecture 2.Discussions 3. Calculations 4. Assignment 3 Given Week 11 Confidence Limits ·         Introduction ·         Confidence limits ·         Confidence limits for mean and single population proportions 1.Lecture 2.Discussions 3. Calculations Week 12 Tests for Hypothesis ·         Introduction to hypothesis Testing ·         Types of Errors ·         Procedure of testing hypothesis Examples 1. Lecture 2. Discussions Week 13 CAT two Sit in cat two Week 14 Chi square test Student t test ·         Introduction to Chi square test of hypothesis 1. Calculations ·         One sample and two sample t test of hypothesis Week 15 Revision Revision of all topics using the  two CATs 1.Solving questions 2. Discussions Exams Exams

# Student Assessment

In order to avoid penalties, you are required to refrain from academic dishonesty and failing to appear in 80% of all classes.  The assessment will be as follows:

1. Assignments                                   – 30%

2. Continuous Assessment Tests           – 30%

3.  Final examination                            – 40%

# A         91-100             C         56-60

A-            81- 90                    C-              51-55         (< 56 IS GRADE F FOR 302P)

B+           76-80                     D+            46-50

B             71-75                     D              41-45

B-            66-70                     E              <40             ( FOR COM 302 A,B,T,X)

C+           61-65

# Main Class Text

Bluman. Elementary statistics. A step by step approach. McGraw Hill. 6th edition. Library number OS QA276.12 B58, 2012

Other useful Texts

1.         Saleemi, N.A. (2008).Business Calculations and Statistics simplified. 4 th edition. Saleemi

Publications, Kenya.

2.       Gupta, C. B. and Gupta, V. (1987), An Introduction to Statistical Methods, Vikas

Publishing House, 17th Ed.

3.  Anderson, David R. Introduction to Statistics: Concepts and Applications, New York. West

Publishing Company (1986).

4.       Gupta, S. C. Fundamentals of Statistics, Himalayas Publishing House, fifth edition.

outlines. Lib number OS QA 273.25. S64. 2009

5.         Spiegel Murry R.  Scams Outline Series of Theory and Problems in Statistics.

Spiegel M.R, Schiller John and Srinivasan. Probability and statistics, 3rd edition. Schaum’s

6.     Wonnacott, J.J., and Wonnacott T. H., Introduction to Statistics for Business and

Economics, fourth Ed.

5.                     Any other statistics book can be used .