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:

 

STUDENT ASSESSMENT AND GRADING

  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 .