|9/24/2022 8:45:52 AM||
|Discipline and Nbr:
ELEM STAT COMPUTER||
Elementary Statistics with Computer
|Units||Course Hours per Week|| ||Nbr of Weeks||Course Hours Total
|Maximum||4.00||Lecture Scheduled||4.00||17.5 max.||Lecture Scheduled||70.00
|Minimum||4.00||Lab Scheduled||0||6 min.||Lab Scheduled||0
| ||Contact DHR||0|| ||Contact DHR||0
| ||Contact Total||4.00|| ||Contact Total||70.00
| ||Non-contact DHR||0|| ||Non-contact DHR Total||0
Title 5 Category:
AA Degree Applicable
Grade or P/NP
05 - May Be Taken for a Total of 4 Units
Also Listed As:
| ||Total Out of Class Hours: 140.00||Total Student Learning Hours: 210.00||
Computer investigation, exploration and simulations of concepts in statistics, descriptive statistics, probability theory including the uniform, binomial, hypergeometric, Poisson, normal, chi-square and Student's t distributions, central limit theorem, estimation of population parameters from a sample, hypothesis testing including parametric and nonparametric methods, confidence intervals, correlation and linear regression, introduction to analysis of variance computer simulations and Monte Carlo methods.
Limits on Enrollment:
Schedule of Classes Information
Computer investigation, exploration and simulations of concepts in statistics: descriptive statistics, probability theory, central limit theorem, estimation, hypothesis (parametric & non-parametric), confidence intervals, correlation and linear regression, analysis of variance.
(Grade or P/NP)
Limits on Enrollment:
Repeatability:05 - May Be Taken for a Total of 4 Units
ARTICULATION, MAJOR, and CERTIFICATION INFORMATION
Not Certificate/Major Applicable
Outcomes and Objectives:
Upon completion of the course, students will be able to:
|Associate Degree:||Effective:||Fall 1981||Inactive:||
|Communication and Analytical Thinking
|CSU GE:||Transfer Area|| ||Effective:||Inactive:
| ||B4||Math/Quantitative Reasoning||Fall 1990||
|IGETC:||Transfer Area|| ||Effective:||Inactive:
| ||2A||Mathematical Concepts & Quantitative Reasoning||Fall 1993||
|CSU Transfer:||Transferable||Effective:||Fall 1989||Inactive:||
|UC Transfer:||Transferable||Effective:||Fall 1989||Inactive:||
| CID Descriptor: MATH 110|| Introduction to Statistics|| SRJC Equivalent Course(s): MATH15 OR PSYCH9
1. Apply graphic displays of data and frequency distrributions.
Define mean, median, mode, percentiles, variability, standard
3. Apply laws of probability and Baye's formula.
4. Define combinations, permutations, sample space, probability
5. Apply Central limit theorem.
6. Calculate sampling distributions of means, proportions, standard error
7. Apply hypothesis testing for mean, proportion, variance.
8. Apply goodness to fit and independence, required sample size,
correlation and linear regression, introduction to analysis of variance.
9. Apply statistics software package for evaluation of data and inference.
Topics and Scope
1. Statistical Description.
Graphic display of data, frequency distributions, mean, medium,
mode, percentiles, variability, standard deviation, Chebyshev's
2. Counting and Probability Distributions.
Sample space, laws of probability, Bayes' Formula, combinations,
permutations, probability distributions (including the uniform,
binomial, hypergeometric, Poisson, normal, chi-square, and Student's
t), normal approximation to bionomial.
3. Statistical Inference.
The sampling distributions of means proportions, standard error,
Central Limit Theorem, confidence intervals, hypothesis testing
(parametric and extended nonparametric), mean, proportion, variance,
large and small samples, goodness of fit and independence, required
sample size, correlation and linear regression, introduction to
analysis of variance.
4. Uses of Computer and Electronic Calculator.
Use of statistics software package, evaluation of data, Monte Carlo
methods of simulations.
1. The student will have daily outside reading, problem set assignments
from required text(s), or instructor chosen supplementary materials.
2. Instructional methodology may include, but not limited to: lecture,
demonstrations, oral recitation discussion, supervised practice,
independent study, outside project or other assignments.
Methods of Evaluation/Basis of Grade.
Representative Textbooks and Materials:
|Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing.||Writing
0 - 0%
|This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments and skill demonstrations are more appropriate for this course.
|Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills.||Problem Solving
25 - 75%
|Homework problems, Exams||
|Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams.||Skill Demonstrations
20 - 40%
|Exams: All forms of formal testing, other than skill performance exams.||Exams
5 - 25%
|Other: Includes any assessment tools that do not logically fit into the above categories.||Other Category
0 - 15%
|PROJECT - ORAL OR WRITTEN||
Text(s) required of each student will be selected by the department,
a committee of the department, or the responsible instructor from the
books currently available. Choices in the past have included:
STATISTICS, Triola, (7th) 1997 Addison-Wesley
STATISTICS, Bluman (3RD) 1997 WC Brown