BCT2053

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BCT2053

• APPLIED STATISTICS

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Synopsis

• This course focuses on providing a basic concept
  of data analysis and statistics as they apply to
  computer science. Students are exposed to
  statistics including statistical problem-solving
  methodology and descriptive statistic, sampling
  distribution and confidence interval, hypothesis
  testing, analysis of variance (ANOVA), goodness
  of fit and contingency tables and regression and
  correlation including simple and multiple linear
  regressions. This course also integrates symbolic
  tools, graphical concepts, and numerical
  calculations.

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Learning Objectives

• Upon the completion of this course, students will
  have the ability to
• Apply the basic techniques and methodologies of
  data analysis and statistics into other related
  courses.
• Recommend a conclusion or suggestion based on the
  analyzed data from a variety of sources.
• Work in group to complete the given assessment in
  a time given.
• Construct and manage decision based on good
  understanding of statistics.

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Generic Skills

• At the end of the course, the students should
  have acquired the various generic skills targeted
  as below
• Team-working Student able to work in group to
  complete the given assessment in a time given.
• Communication skills Student able to communicate
  effectively in written and oral form through
  group discussion (assignment), tutorial and
  presentation session.
• Problem solving Implement the appropriate skills
  into problem solving process.

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Teaching Method

• Lecture - 3 hours per week
• Tutorial - 1 hours per week
• Independent Study
• - 1 credit 40 hours
• (120/15 8 hours per week)

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INTRODUCTION TO APPLIED STATISTICS

• 1.1 Overview
• 1.2 Statistical Problem-Solving Methodology
• 1.3 Review of Descriptive Statistics
• 1.3.1 Measures of Central Tendency
• 1.3.2 Measures of Variation

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2 SAMPLING DISTRIBUTION AND CONFIDENCE INTERVAL

• 2.1 Sampling Distribution
• 2.2 Estimate, Estimation and Estimator
• 2.3 Confidence Interval for the mean µ
• 2.4 Confidence Interval for the Difference
  between
• Two mean
• 2.5 Confidence Interval for the Proportion
• 2.6 Confidence Interval for the Difference
  between
• Two Proportions
• 2.7 Confidence Interval for Variances and
• Standard Deviations
• 2.8 Confidence Interval for Two Variances and
• Standard Deviations

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3 HYPOTHESIS TESTING

• 3.1 Introduction to Hypothesis Testing
• 3.2 Hypothesis Testing for Mean with known and
• unknown Variance
• 3.3 Hypothesis Testing for Difference Means with
• known and unknown Population Variance
• 3.4 Hypothesis Testing for Proportion
• 3.5 Hypothesis Testing for the Difference between
  
• Two Proportions
• 3.6 Hypothesis Testing for Variances and Standard
  
• Deviations
• 3.7 Hypothesis Testing for Two Variances and
• Standard Deviations

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4 ANALYSIS OF VARIANCE (ANOVA)

• 4.1 Introduction to ANOVA
• 4.2 One-Way ANOVA
• 4.3 Two-Way ANOVA

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GOODNESS OF FIT AND CONTIGENCY TABLE

• 5.1 Introduction
• 5.2 Goodness of Fit
• 5.3 Contingency Table

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6 REGRESSION AND CORRELATION

• 6.1 Simple Linear Regression Analysis and
• Correlation
• 6.2 Relationship Tests and Prediction in Simple
• Linear Regression Analysis
• 6.3 Multiple Linear Regression Analysis and
• Correlation
• 6.4 Model Selection

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ASSESSMENT

• Item Percentage ()
• Quizzes 10 (2 5)
• Assignment 10 (2.5 4)
• Test 1 20 4O marks
• Test 2 20 4O marks
• Final Exam 40 8O marks
• Total 100

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REFERENCES

• Navidi W., Statistics for Engineers and
  Scientists, McGraw-Hill, 2006.
• Triola, M.F., Elementary Statistics 10th Edition,
  Pearson Education, 2006.
• Bluman A.G., Elementary Statistics A Step by
  Step Approach, 5th Edition, McGrawHill, 2004.
• Weiss, N.A., Introductory Statistics, 6th
  Edition, Addison-Wesley, 2002.
• Sanders D.H. R.K. Smidth, Statistics A First
  Course, 6th Edition, McGraw-Hill, 2000.
• Crawshaw, J. Chambers,J., A Concise Course in
  Advance Level Statistics With Work Examples, 4th
  Edition, Nelson Thornes, 2001.

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NOTES TUTORIAL

• Please download and print out all notes and
  tutorials from each chapter before class.
• http//notes.ump.edu.my or e-learn

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CLASS RULE

• Always come early to my Class
• Class will start on time
• Class will only start after DOA
• Everyone must bring a copy of power point slide
  (notes) and calculator
• Please show good attitude
• Give me a copy of MC letter or any letter approve
  by your PA if you fail to come to my class. If
  not you will get KT for your softskill.

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LAST word

• Please enjoy your class.
• If you have any problem in Mathematics feel free
  to visit me at my room
• First floor FSKKP
• My phone number
• 09-5492145 (office)
• 019-7699240

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MOTIVATION

• I hear... and I forget
• I see... and I remember
• I do... and I understand
• Ancient Chinese Proverb

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MOTIVATION
"One cannot change yesterday. But only make the
most of today. Look with hope toward tomorrow."
So do your best and get A in this course !!!