Download 1. Organize, describe, analyze, and interpret data through the use of

COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
CURRICULUM
Subject Code and Course Number:
Division :
STAT 050
Mathematics
Course Title :
ELEMENTARY STATISTICS
Summarize the need/purpose/reason for this proposal
We are creating a new math sequence for non-STEM majors that is designed to serve as a prerequisite for Stat 50. This proposal serves to identify the last course of the new sequence Math 150 as
a prerequisite for Stat 50.
SLOs (Student Learning Outcomes)
1. Organize, describe, analyze, and interpret data through the use of statistical methods and research. 2. Use statistical results to draw sound conclusions and make informed decisions. 3. Apply the rules of probability and combinatorics to solve problems and interpret their results. SPOs (Student Performance Objectives)
1. Prepare frequency distribution, histograms and ogives from statistical information given in raw data
(tallied) form. 2. Calculate (with a calculator), interpret and explain measures of dispersion and of central tendency. 3. Use the concepts of bivariate data to calculate linear correlation coefficient and interpret the
significance of this coefficient using tables. 4. Perform a linear correlation and linear regression on bivariate data. 5. Use the rules of probability to calculate probabilities of outcomes to simple experiments involving
complement, union, intersection, mutually exclusive events, independence and conditional probability. 6. Use the concept of random variables to prepare a probability distribution for a discrete random
variable, and use the binomial distribution to solve problems in probability, and use the normal approximation to the binomial distribution. 7. Use the normal distribution to solve problems in sampling theory, applying the central limit theorem
as needed. 8. Perform hypothesis tests, confidence interval calculations and calculations of sample size for
inferences about population means, proportions and variances. 9. Perform multinomial experiments using goodness-of-fit. 10. Analyze contingency tables for independence and homogeneity. PASADENA CITY COLLEGE
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
11. Perform calculations on one-way analysis of variance. 1. Calculate (with a calculator), interpret and explain measures of dispersion and of central tendency. 2. Use the concepts of bivariate data to calculate linear correlation coefficient and interpret the
significance of this coefficient using tables. 3. Perform a linear correlation and linear regression on bivariate data. 4. Use the normal distribution to solve problems in sampling theory, applying the central limit theorem
as needed. 5. Perform hypothesis tests, confidence interval calculations and calculations of sample size for
inferences about population means, proportions and variances. 6. Perform multinomial experiments using goodness-of-fit. 7. Analyze contingency tables for independence and homogeneity. 8. Perform calculations on one-way analysis of variance. 1. Use the rules of probability to calculate probabilities of outcomes to simple experiments involving
complement, union, intersection, mutually exclusive events, independence and conditional probability. 2. Use the concept of random variables to prepare a probability distribution for a discrete random
variable, and use the binomial distribution to solve problems in probability, and use the
normalapproximation to the binomial distribution. CCOs (Course Content Outline)
Learn Organization of Data: Forming frequency distributions. Presentation of Data: Tabular, graphical - bar graph, frequency polygon line graph. Use Summation Notation. Analysis of Data - With or Without Frequency Distribution: Measures of central tendency, mean, median, mode; measures of dispersion, range,
mean deviation, standard deviation. PASADENA CITY COLLEGE
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
Elementary Probability: Definition - discrete vs. continuous probability distributions; elementary laws;
conditional probability. Binomial Distribution: Mean, standard deviation; theoretical frequency distribution. Normal Distribution: As an approximation to the binomial distribution; as the limit of a frequency
distribution of a continuous variable; use of tables of area under the normal probability curve. Random Sampling (Large Samples): Distribution of sample mean: distribution of the difference
between two-sample means. Hypothesis-Testing (Large Samples): One and two-tailed tests; confidence limits. Small Sample Methods: Students t-distribution; distribution of the difference between the means. Non-Parametric Statistics: Chi-Square, rare order correlation Inference from two samples - two proportions, two means - independent samples, inferences from
matched pairs, comparing variation in two samples. Linear correlation, linear regression. Multinomial experiments and contingency tables Analysis of variance Methods of Instruction
Lecture, group instruction/discussion, projects Methods of Evaluation of Student Performance
Written homework, quizzes, tests, projects
Assignments
1. An educator estimates that the dropout rate for seniors at high schools in Ohio is 15%. Last year, 38
seniors from a random sample of 200 Ohio seniors withdrew. At 0.05 significance level, is there
enough evidence to reject the educator's claim? 2. Find the probability of getting 3 tails when a fair coin is tossed 10 times. TECHNICAL DETAILS
Catalog Description
(Mathematics Division) Analysis of data relative to social and natural processes. Collecting, grouping and presenting numerical
data by means of: frequency distributions, measures of central tendency and deviation, probability and
PASADENA CITY COLLEGE
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
sampling, measures of prediction and correlation, linear regression, hypothesis testing, including
analysis of variance. No credit if taken after Stat 015 or 018. Total of 90 hours lecture. Transfer Credit: CSU; UC credit limitations. See counselor. *C-ID: SOCI 125 Prerequisite(s)
Math 131 or 133B or 134B or 141 or 150 or placement based on the Math assessment process. Corequisite(s)
Recommended Preparation
Enrollment Limitations
Instructional Activities associated with TBA
Units :
4.0
CREDIT COURSE OUTLINE
Credit Type :
Maximum Course Units :
Minimum Course Units:
Computed Total Carnegie Units :
Course Unit Totals in Agreement? :
No
Course Units Carnegie Compliant by Type and Mode? :
Yes
Course Units Carnegie Compliant in Total?:
Yes
Total Course Hours by Type and Mode
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
COURSE HOURS
LECTURE
LAB
ACTIVITY
Scheduled Class Meetings
TBA Hours, Determinate Schedule
*Other Arranged Hours, Variable Schedule
(*Student is required to meet the same number of arranged hours each day or each week)
Override Computed Course Units if Necessary
COURSE HOURS
LECTURE
LAB
ACTIVITY
Scheduled Class Meetings
TBA Hours, Determinate Schedule
*Other Arranged Hours, Variable Schedule
Projected Student Registration and Attendance
COURSE ATTENDANCE
Registration Capacity
Projected Census Enrollment [Total]
Projected Census Enrollment [Resident]
Projected Census Enrollment [NonResident]
Projected PA Hours [Total]
Projected PA Hours [Resident]
Projected PA Hours [NonResident]
COURSE VALUES (TOTAL)
Scheduled Class Hours
LEC
LAB
ACTV
Regular TBA Hours
LEC
LAB
ACTV
Variable Arranged Hours
LEC
LAB
Course Hours
Course Units
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ACTV TOTALS
COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
Load Factor
LHE
FTEF
STUDENT AND FACULTY WORKLOADS (WEEKLY, FULL-TERM)
Scheduled Class Hours
STUDENTS
LEC
LAB
ACTV
Regular TBA Hours
LEC
LAB
ACTV
Variable Arranged Hours
LEC
LAB
ACTV TOTALS
Instructional
Hours
Study Hours
Total
FACULTY
Instructional
Hours
Preparatory
Hours
Total
Repeatability :
Not Repeatable
The repeatable restrictions apply for Credit Courses do not apply to Non-Credit Courses. Only Non-Credit Courses can be repeated on unlimited number of times. Reason for Repeatability:
Courses for which repetition is necessary to meet major requirements of CSU or UC for completion of a bachelor's degree.
Intercollegiate academic or vocational competition
Intercollegiate Athletics
Methods of Delivery
Face-to-Face
On-Line – Primarily taught via Internet Hybrid – Blend of On-Campus and On-Line ITV – Instructional T.V. Maximum Class Size (NCN)
35
Minimum Qualifications (Discipline)
MATHEMATICS
PASADENA CITY COLLEGE
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
Semester of First Offering
Summer
Grading Option
B - Course for grade or pass/no pass
COURSE APPLICABILITY, TRANSFER AND ARTICULATION
Course Credit Status:
State Transfer Code:
State Classification Code:
Basic Skills Status/Level:
Aligns with C-ID Decriptor
Purpose of Course
UC Transferable
IGETC Area: Specify Area
Gen Ed. Local AA degree: Please specify
AA/AS Diversity Requirement in:
Global Studies
Ethnic & Gender Studies
Other: Please specify
CareerTech Certificate: Indicate name of Certificate(s) REPRESENTATIVE TEXTBOOKS OR OTHER MATERIALS
Book 1
Book 2
Author :
Triola
Title :
Elementary Statistics
Publisher:
Pearson
Date of Publication:
2009
Edition:
11th
Author :
Bluman
Title :
Elementary Statisics
Publisher:
McGraw Hill
Date of Publication:
2008
Edition:
7th
PASADENA CITY COLLEGE
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
Other materials and/or supplies required of students:
RESOURCES & DEPARTMENT PLANNING
Additional Resources Needed:
None
Facilities Needed to Teach this Course:
None
Equipment Needed to Teach this
Course:
None
PROGRAM APPLICABILITY
Program Information
Program Category
In an approved program.
General Education
Part of a new program.
Career and Technical Education Program
Not part of an approved program.
Noncredit Program
Instructional Methods
Lecture
Lab
Lecture & Lab
Distance Ed / Online Course
Work Experience
Independent Study
TBA
TOP Code Information
Program title - TOP Code: 170100 Mathematics,
General
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COURSE OUTLINE : STAT 050
Last Revised and Approved: 11/08/2012
SAM Code
A - Apprenticeship course (Courses offered to apprentices only.)
B - Advanced occupational (Courses taken in the advanced stages of an occupational program. Each “B” level course must have a “C” level prerequisite in the same program area.)
C - Clearly occupational (Courses taken in the middle stages of an occupational program. Should provide the student with entry-level job skills.)
D - Possibly occupational (Courses taken in the beginning stages of an occupational program.)
E Non-occupational
NON CREDIT ONLY
Funding Category
A English as a Second Language
B Immigrant Education
C Elementary & Secondary Education
D Health & Safety Education
E Education Programs for Persons with Substantial Disabilities
F Parenting Education
G Family & Consumer Sciences
H Education Programs for Older Adults
I Short-term Vocational Programs With High Employment Potential
J Workforce Preparation Enhanced Funding
K Other Non-Credit Enhanced Funding
L Non-enhanced Funding
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