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Instructor Contact Information |
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Title of Course: Math
119 Elementary Statistics CRN#42459
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Textbook and Course Material Requirements |
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ESSTLS OF STATS&
MYML SAK&S/ED MINITAB&MNL-Essentials of Statistics 3E Triola bundled
with MyMathlab Access Kit & Minitab 14 Student Edition
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Hardware and Software Requirements |
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Hardware and Software: Internet Browser: |
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Course Description |
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Insert Course Description
This course covers descriptive and inferential statistics. The descriptive portion analyzes data
through graphs, measures of central tendency and spread. Other statistical practices utilize basic
probability, binomial and normal distributions, estimation of population
parameters, hypothesis testing, linear regression and correlation. Analytical reading and problem solving are
required for success in this course.
This course meets district G.E. requirements. Associate Degree & transfer to CSU (CAN
STAT 2) and private colleges and universities. CSU General Education; IGETC UC, Transfer Course List :Mathematics
(MATH) 119 combined with Biology (BIOL) 200 or Psychology (PSYC) 258: maximum
credit, one course. This particular Online Course is designed to introduce students to basic
statistical concepts. The stress will
be on understanding when to use which technique rather than just crunching
numbers through formulas. Use of a
computer and knowledge of ‘Window’s’ based applications is
a requirement since calculations will be done using Statdisk or DDXL- an
add-on to the Excel Spreadsheet Program. |
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Course Objectives |
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Course Objectives and Learning Outcomes. Objectives: Upon successful completion of the course the student, with
the aid of the computer where appropriate, will be able to: 1.
Evaluate means and standard deviations of both
grouped and individual item samples. 2.
Evaluate probabilities using the definition, the
multiplication formula, the addition formula, and counting procedures. 3.
Evaluate probabilities using the Normal Distribution
tale and the Binomial Distribution Table. 4.
Evaluate probabilities of Sampling Distributions
(both Binomial and non-Binomial). 5.
Construct confidence intervals of means using large
and small samples of proportions, and of variances. 6.
Determine sample size when estimating means and
proportions. 7.
Do hypothesis testing of means, proportions, and
variances (one and two sample problems). 8.
Evaluate Correlation and use it to predict in a
Regression model. |
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Application and Registration Information |
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6. After completion of
registration on Reg-e, and several days prior to the start of the semester, you will
receive an email with course login instructions. If you don't receive an
email please go to http://www.sdccdonline.net and login on the first day of
class as follows:
You will not be able
to login to your online course until the first day of the semester!!! |
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