DEPARTMENT OF PSYCHOLOGY
UNIVERSITY OF SARGODHA
Course Outline of Fundamental Statistics in Psychology (Psy-305)
BS (Semester V)
Course Instructor: Dr. Adnan Adil
Course Description
Psychologists are interested in understanding a variety of phenomena and they use a wide variety of methods and measures to study the objects of their interest. Regardless of the content or conditions for study, statistics serve as important tools for making sense out of the data that are collected. We need statistics in order to describe the data clearly, so that the findings can be communicated to others. We also need statistics in order to use a specific data set as a basis for more general conclusions. That is, we can use statistics to infer general conclusions from the data collected. In this course, we’ll primarily focus on descriptive statistics whereas the inferential statistics will be covered during your next semester in Application of Statistics in Psychology (Psy-313). Topics to be covered include introduction to statistics, presentation of data, measures of central tendency, measures of dispersion, measures of skewness, measures of kurtosis, standardized distributions, and probability.
Objectives of the Course
The aims of this course are to help you develop an understanding of major concepts that underlie the use of descriptive statistics in psychological research, and to help you learn how to choose and carry out statistical procedures that are appropriate for presentation, summarization, and description of data. More specifically, this course entails the following objectives:
Learning Outcomes of the Course
At the completion of this course, learners should be able to demonstrate the pertinent knowledge of various concepts and principles of descriptive statistics through their ability to undertake various modes of data presentation and description. Students will be able to calculate and interpret statistics with reference to data and research questions typical in psychological research.
Course Plan
This course holds 3 credit hours. Accordingly, there would be two lectures per week. Each lecture would be of 90 minutes duration. The class will be held on every Thursday and Friday in classroom of BS V. This course will be taught in a lecture/discussion format. Lectures are used to present and clarify issues from the set text and to discuss case studies. They will also include short interactive exercises. The mode of instructions would be English. Lectures may be facilitated through the use of transparencies on high definition projector and multimedia presentations for essential concepts. As appropriate, various activities and supplemental readings will be used to enhance student’s understanding of the material. Classroom lectures/discussions/activities will focus on the topics listed in the course break down. Furthermore, lectures will not be limited to the material from the texts; rather they would be a source of additional information from the instructor.
Course Breakdown
Chapter 1 |
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Introduction |
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Definitions of statistics, Types of statistics, Data and its types, Variables and constants, Scales of measurement, Sampling and population. |
1st & 2nd Week |
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Parameter and statistic, Characteristics and limitations of statistics, Application of statistics in psychology. |
3rd Week |
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Chapter 2 |
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Frequency Distribution and Graphic Representation of Data |
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Classification, Tabulation, Frequency Distributions, Cumulative Frequency Distributions, Estimation of shape of frequency distribution, Quartiles, Percentiles, Percentile ranks. |
4th Week |
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Histogram, Polygon, Ogive, Pictograph, Bar diagram, Pie chart, Stem and leaf display, Box plot. |
5th Week |
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Submission of First Assignment |
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Chapter 3 |
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Measurement of Central Tendency |
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Introduction to measure of central tendency, Mean, Median, Mode, Estimation of measure of central tendency in a frequency distribution. |
6th Week |
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Properties of various measures of central tendency, Selecting a measure of central tendency. |
7th Week |
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First Quiz |
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Chapter 4 |
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Measurement of Variability |
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Introduction to measures of dispersion, Range, Mean Deviation. |
8th Week |
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Quartile Deviation, Variance, Standard Deviation Shepherd’s Correction, Coefficient of Variance, Z score, Estimation of measures of variability |
9th Week |
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Chapter 5 |
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Standardized Distributions |
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Importance of normal distribution, Properties of normal curve, Areas under normal curve, Transforming a distribution from raw scores into Z scores and vice versa. |
10th Week |
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Application of normal curve, Using Z scores to standardize a distribution, Other standardized distributions based on Z scores |
11th Week |
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Submission of Second Assignment |
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Chapter 6 |
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Probability |
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Definition of Probability, Subjective, Empirical and Classical Approach to Probability. |
12th Week |
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Permutation and Combination, Laws of Probability, Binomial distribution |
13th & 14th Week |
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Second Quiz and Course Review |
15th Week |
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Presentations of Project |
16th Week |
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Final Term Examination |
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Course Evaluation
The assessment of learning in this course would be undertaken through various assessment activities. There would be two formal examinations namely midterm and final term examinations. Besides these formal examinations, there would be two classroom quiz, two written individual assignments, and one group project that must be submitted in written report and formally presented in the classroom. The relative distribution of marks across these assessment exercises is as follows:
Quiz |
10 |
First Written Assignment |
10 |
Second Written Assignment |
10 |
Research Project |
15 (Report) + 15 (Presentation) |
Note: The sessional marks would constitute 20% of the total marks of this course. |
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Mid Term Examination |
30% |
Final Term Examination |
50% |
Learning Resources
The instructor shall provide important web links for each chapter of the course for enhancing students’ learning. Relevant research articles for critical review shall also be provided by the instructor. The recommended texts for this course are as follows:
Howell, D. C. (2008). Fundamental statistics for the behavioral sciences (6th ed.). Belmont, CA: Thomson.
Gravetter, F. J. & Wallnau, L. B. (2005). Essentials of statistics for behavioral sciences. (5th ed.). New York: Thomson/Wadsworth.
Guilford, J. P. (1995). Fundamental statistics in psychology and education. (4th ed.). New York: McGraw-Hill.