7/24/2024 11:34:09 PM 
 New Course (First Version) 
CATALOG INFORMATION

Discipline and Nbr:
PSYCH 1C  Title:
INTRO/BEH SCI STATISTICS 

Full Title:
Introduction to Behavioral Sciences Statistics 
Last Reviewed:2/10/2020 
Units  Course Hours per Week   Nbr of Weeks  Course Hours Total 
Maximum  3.00  Lecture Scheduled  3.00  17.5 max.  Lecture Scheduled  52.50 
Minimum  3.00  Lab Scheduled  0  6 min.  Lab Scheduled  0 
 Contact DHR  0   Contact DHR  0 
 Contact Total  3.00   Contact Total  52.50 

 Noncontact DHR  0   Noncontact DHR Total  0 
 Total Out of Class Hours: 105.00  Total 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:
Catalog Description:
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This course introduces statistical methods for analyzing data in the behavioral sciences. Topics include basic research design; descriptive statistics, probability and sampling distributions; statistical inference and power; linear correlation and regression; ttest and analysis of variance; chisquare. Students use appropriate technology (e.g., calculators and SPSS) to analyze realworld data and report results using American Psychological Association style.
Prerequisites/Corequisites:
Course Completion of MATH 154 OR MATH 155 OR higher;
AND Course Completion of PSYCH 1A OR ANTHRO 1 OR SOC 1
Recommended Preparation:
Eligibility for ENGL 1A or equivalent
Limits on Enrollment:
Schedule of Classes Information
Description:
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This course introduces statistical methods for analyzing data in the behavioral sciences. Topics include basic research design; descriptive statistics, probability and sampling distributions; statistical inference and power; linear correlation and regression; ttest and analysis of variance; chisquare. Students use appropriate technology (e.g., calculators and SPSS) to analyze realworld data and report results using American Psychological Association style.
(Grade Only)
Prerequisites:Course Completion of MATH 154 OR MATH 155 OR higher;
AND Course Completion of PSYCH 1A OR ANTHRO 1 OR SOC 1
Recommended:Eligibility for ENGL 1A or equivalent
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 2015
 Inactive:  Fall 2016

Area:  B MC D
 Communication and Analytical Thinking Math Competency Social and Behavioral Sciences


CSU GE:  Transfer Area   Effective:  Inactive: 
 B4  Math/Quantitative Reasoning  Fall 2016  

IGETC:  Transfer Area   Effective:  Inactive: 
 2A  Mathematical Concepts & Quantitative Reasoning  Fall 2016  

CSU Transfer:  Transferable  Effective:  Fall 2015  Inactive:  

UC Transfer:  Transferable  Effective:  Fall 2015  Inactive:  

CID: 
CID Descriptor: SOCI 125  Introduction to Statistics in Sociology  SRJC Equivalent Course(s): PSYC9 
CID Descriptor: MATH 110  Introduction to Statistics  SRJC Equivalent Course(s): MATH15 OR PSYC9 
Certificate/Major Applicable:
Both Certificate and Major Applicable
COURSE CONTENT
Outcomes and Objectives:
At the conclusion of this course, the student should be able to:
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Upon completion of this course, students will be able to:
1 Specify the appropriate independent variables, dependent variables, research hypothesis,
and null hypothesis.
2. Compare and contrast an experimental design with a correlational research design.
3. Produce both a diagrammatic and numerical summary for a given set of raw data.
4. Calculate probabilities for a normal distribution.
5. Interpret the relationship between the correlation coefficient and the regression line.
6. Compute a confidence interval for a population proportion and for a population mean.
7. Test hypotheses about a single sample (one and two variables).
8. Test hypotheses involving two samples using samples ttest.
9. Test hypotheses involving several samples using analysis of the variance.
10. Test hypotheses involving a single nominal variable using the chisquare goodness of fit.
11. Test hypotheses involving two nominal variables using chisquare.
12. Determine and interpret the effect size for statistical tests
(e.g., Pearson's r, independent samples ttest).
13. Report statistical results using American Psychological Association style.
14. Analyze data using a statistical software package (e.g., SPSS).
Topics and Scope
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1. Introduction to Statistics that follows American Psychological Association style.
2. Summarizing Data: Tables, Graphs, and Distributions
3. Summarizing Data: Central Tendency
4. Summarizing Data: Variability
5. Foundations of Inferential Statistics
6. Introduction to Probability and Normal Distributions
7. Probability and Sampling Distributions: The Distribution of Sample Means
8. Introduction to Hypothesis Testing
9. Testing Means: Independent Sample tTests
10. Testing Means: Related Samples tTest
11. Estimation and Confidence Intervals
12. Introduction to Analysis of Variance: OneWay BetweenSubjects Design
13. Analysis of Variance: OneWay WithinSubjects (Repeated Measures) Design
14. Analysis of Variance: TwoWay BetweenSubjects Factorial Design
15. Introduction to Correlation
16. Introduction to Linear Regression
17. Introduction to Nonparametric Tests: ChiSquare Tests
18. Introduction to Nonparametric Tests: Tests For Ordinal Data
Assignments:
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1. Read approximately 2025 pages per week, recapitulate assigned material in the textbook,
supplements, and research articles.
2. One to two midterm exams and one final on lectures, reading concepts and terminology.
3. Solve statistical problems and scenarios related to behavioral sciences data.
4. Report results on a statistical project using American Psychological Association style.
5. Complete approximately a 1250 word (5 pages) statistical project/report involving the use of
both descriptive and inferential statistics (e.g., given a data set for behavioral sciences
and hypothesis, determine how to analyze the data, evaluate the hypothesis, and share
the results using American Psychological Association style).
6. Oral presentations and group projects may be assigned.
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% 
Statistical Research paper(s) and Essay(s)  
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or noncomputational problem solving skills.  Problem Solving 25  50% 
Question/Answer Worksheets  
Skill Demonstrations: All skillbased 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% 
Multiple choice, true/false, fillin, short answer  
Other: Includes any assessment tools that do not logically fit into the above categories.  Other Category 10  20% 
Oral presentations, group projects  
Representative Textbooks and Materials:
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Elementary Statistics in Social Research: Essentials. 12th ed., Levin, Jack, and James Alan Fox. Pearson: 2013
Statistics for Behavioral Sciences, 1st ed., Privitera, Gregory J. Sage Publications: 2012
Statistics for the Behavioral Sciences, 8th ed.,Gravetter, F.J. and Wallnau, Larry B. Cengage: 2010
Other Recommended Materials
Calculator
Access to IBM Statistical Package for the Social Sciences (SPSS) Statistical Software
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