SRJC Course Outlines

12/2/2020 2:12:45 AMPSYCH 9 Course Outline as of Fall 2020

Changed Course
CATALOG INFORMATION

Discipline and Nbr:  PSYCH 9Title:  INTRO/BEH SCI STATISTICS  
Full Title:  Introduction to Behavioral Sciences Statistics
Last Reviewed:2/10/2020

UnitsCourse Hours per Week Nbr of WeeksCourse Hours Total
Maximum3.00Lecture Scheduled3.0017.5 max.Lecture Scheduled52.50
Minimum3.00Lab Scheduled06 min.Lab Scheduled0
 Contact DHR0 Contact DHR0
 Contact Total3.00 Contact Total52.50
 
 Non-contact DHR0 Non-contact DHR Total0

 Total Out of Class Hours:  105.00Total Student Learning Hours: 157.50 

Title 5 Category:  AA Degree Applicable
Grading:  Grade Only
Repeatability:  00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As: 
Formerly:  PSYCH 1C

Catalog Description:
Untitled document
The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from a broad range of disciplines.

Prerequisites/Corequisites:
Course Completion of MATH 154 OR MATH 155 OR MATH 156 OR higher or appropriate placement based on AB 705 mandates; AND Course Completion of PSYCH 1A OR ANTHRO 1 OR SOC 1


Recommended Preparation:
Eligibility for ENGL 1A or equivalent or appropriate placement based on AB705 mandates

Limits on Enrollment:

Schedule of Classes Information
Description: Untitled document
The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from a broad range of disciplines.
(Grade Only)

Prerequisites:Course Completion of MATH 154 OR MATH 155 OR MATH 156 OR higher or appropriate placement based on AB 705 mandates; AND Course Completion of PSYCH 1A OR ANTHRO 1 OR SOC 1
Recommended:Eligibility for ENGL 1A or equivalent or appropriate placement based on AB705 mandates
Limits on Enrollment:
Transfer Credit:CSU;UC.
Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP

ARTICULATION, MAJOR, and CERTIFICATION INFORMATION

Associate Degree:Effective:Fall 2018
Inactive: 
 Area:B
MC
Communication and Analytical Thinking
Math Competency
 
CSU GE:Transfer Area Effective:Inactive:
 B4Math/Quantitative ReasoningFall 2016
 
IGETC:Transfer Area Effective:Inactive:
 2AMathematical Concepts & Quantitative ReasoningFall 2016
 
CSU Transfer:TransferableEffective:Fall 2015Inactive:
 
UC Transfer:TransferableEffective:Fall 2015Inactive:
 
C-ID:
 CID Descriptor: SOCI 125 Introduction to Statistics in Sociology SRJC Equivalent Course(s): PSYCH9

Certificate/Major Applicable: Both Certificate and Major Applicable



COURSE CONTENT

Student Learning Outcomes:
Upon completion of the course, students will be able to:
Untitled document
1. Determine the appropriate statistical test for a given data set for  behavioral sciences and hypotheses.
2. Analyze and interpret behavioral sciences data using appropriate research software such as SPSS, Excel.
 

Objectives: Untitled document
Students will be able to:
1.   Interpret data displayed in tables and graphically.
2.   Apply concepts of sample space and probability.
3.   Calculate measures of central tendency and variation for a given data set.
4.   Identify the standard methods of obtaining data and identify advantages and disadvantages of
      each.
5.   Calculate the mean and variance of a discrete distribution, and calculate probabilities using
       normal and t-distributions.
6.   Distinguish the difference between sample and population distributions and analyze the role
       played by the Central Limit Theorem.
7.   Construct and interpret confidence intervals.
8.   Determine and interpret levels of statistical significance including p-values; interpret the
       output of a technology-based statistical analysis.
9.   Identify the basic concept of hypothesis testing including Type I and II errors.
10. Formulate hypothesis tests involving samples from one and two populations; select the
       appropriate technique for testing a hypothesis and interpret the result.
11. Use regression lines and Analysis of Variance (ANOVA) for estimation and inference, and
      interpret the associated statistics.
12. Use appropriate statistical techniques to analyze and interpret applications based on data
       from at least four of the following disciplines:  business, economics, social science,
      psychology, sociology, anthropology, political science, administration of justice,
       life science, physical science, health science, information technology, and education.

Topics and Scope
Untitled document
I.  Introduction to Summarizing Data Graphically and Numerically
II. Descriptive Statistics
    A. Measurement
    B. Measures of central tendency
    C. Variation
III. Sample Spaces and Probability
IV. Random Variables and Expected Value
V.  Sampling and Sampling Distributions
VI. Discrete Distributions
    A. Binomial
    B. Continuous distributions - normal
VII.  The Central Limit Theorem
VIII. Estimation and Confidence Intervals
IX.   Hypothesis Testing and Inference
    A. t-tests for one and two populations
     B. Chi-square test
    C. Correlation, regression lines
     D. Analysis of variance (ANOVA)
X. Applications using Data from at least Four of the Following Disciplines
    A. Business
    B. Economics
    C. Social science
    D. Psychology
    E. Sociology
    F. Anthropology
    G. Political science
    H. Administration of justice
    I. Life science
    J. Physical science
    K. Health science
    L. Information technology
    M. Education

Assignments:
Untitled document
1. Read approximately 35 pages per week
2. Writing assignment that may include statistical research, experiential, response, or project for
    a minimum of 1,250 words
3. Formal testing to solve statistical problems and scenarios such as quizzes, exams,
    and/or a final
4. Oral presentation and/or group project may be assigned
5. Question/Answer worksheets

Methods of Evaluation/Basis of Grade.
Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing.Writing
10 - 25%
Writing Assignments
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills.Problem Solving
25 - 50%
Question/Answer Worksheets
Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams.Skill Demonstrations
0 - 0%
None
Exams: All forms of formal testing, other than skill performance exams.Exams
25 - 35%
Quizzes, exams, and/or a final
Other: Includes any assessment tools that do not logically fit into the above categories.Other Category
0 - 20%
Oral presentation and/or group project


Representative Textbooks and Materials:
Untitled document
Essentials of Statistics for The Behavioral Sciences. 9th ed. Gravetter, Frederick and Wallnau, Larry. Cengage Learning. 2018
 
Statistics for the Behavioral Sciences. 3rd ed. Privitera, Gregory. Sage Publications. 2017
 
Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction. 2nd ed. Wilcox, Rand. CRC Press. 2017
 
Other Recommended Materials:
Calculator Access to IBM Statistical Package for the Social Sciences (SPSS) Statistical Software or comparable

Print PDF