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Course Pro FormaProgram Ijazah Sarjana Muda Perguruan Dengan Kepujian

(Matematik Pendidikan Rendah)

Course Title Statistics

(Statistik)Course Code MTE3105

Credit 3(3+0)

ContactHours

45 hours

Language OfDelivery

English Language

Prerequisite toentry

Nil

Semester One/Two

Learningoutcomes

1. Explain the theoretical and empirical aspects underpinningprobability

2. Apply sampling and estimation theory in estimating the mean ofa population

3. Apply inferential statistics such as Chi-Square test, ANOVA andlinear regression in hypothesis testing

4. Analyse and solve real-life problems using these statisticalmethods.

Synopsis In this course, students will revisit the concepts of probability and

explore inferential statistics such as t-test, chi-square test, analysis ofvariance (ANOVA) in hypothesis testing and linear regression inanalyzing linear relationship in bivariate variables. The use of samplingand estimation theory to estimate the mean of population is discussed.The importance of using the appropriate statistical methods in solvingreal life problems is emphasized.

Dalam kursus ini, pelajar akan mengimbas kembali konsep yangberkaitan dengan kebarangkalian dan menerokai statistik inferensseperti ujian-t, ujian chi-square, analisis varians (ANOVA) dalampengujian hipotesis dan regresi linear dalam menganalisisperhubungan linear dalam dua pembolehubah. Penggunaan teori

pensampelan dan penganggaran untuk menganggar min populasijuga dibincangkan. Kepentingan menggunakan kaedah statistik yangsesuai dalam penyelesaian masalah harian adalah dititikberatkan.

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Topic Content Hours

1 Probability Introduction to probability

o Theoriticalo Empirical

Compound Eventso Independent Eventso Mutually Exclusive

The Addition and Multiplication Rule

Probability Treeo Theoretical

Conditional Probabilities

3

2 Sampling and estimation theory

Elementary sampling

Sampling distribution

Point estimation and interval estimation Confidence level

Reading Statistic Tables

Estimating the Mean of Population when STDof the Population is Known

Estimating the Mean and STD of PopulationFrom Sample Data

Estimating the mean of a population basedon a small sample size

9

3 Hypothesis testing Introduction

Methodology for hypothesis testing. Testing one mean

Testing the difference between two populationmeans

Testing a population proportion

Testing a population variance (standarddeviation)

Testing the ratio of two population variance(standard deviation)

12

4 The Chi-square hypothesis test

The general procedure for the test The goodness of fit test The test of association

9

5 Analysis of variance ( ANOVA ) Introduction on one way Independent ANOVA

Calculating ANOVA by hand

Calculating ANOVA using EXCEL

6

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6 Linear Regression Introduction

o Independent variableso Dependent variableso Scatter diagram

The least squares straight lineo Interpolation and extrapolation

6

Total 45

Assessment Coursework 50%

Examination 50%MainReferences

Eccles, A. et. al (2004). Statistics 1. 3rd ed UK: Martins the Printers.

Davies, M et. al ( 2005). Statistics 2. 3rd ed UK. Hodder Murray

Davies, M et. al ( 2005). Statistics 3. 3rd ed UK. Hodder Murray

AdditionalReferences

Cook, Upton, G. I. (2000). Introducing Statistics. 2nd ed. NY: OxfordUniversity Press.

Mann, Prem S. ( 2003 ). Introductory Statistics. 5th ed. NY: Wiley.

Norusis, M. J. (1985). SPSS X: Advanced statistics guide. NY:McGraw-Hill.

Rowntree, D. (2004). Statistics without tears: A primer for nonmathematicians. Boston, MA: Pearson Education.

Smitters, G et. al ( 2000). Advanced Modular Mathematics Statistics 1.2rded. UK: Harper Collins.

Smitters, G et. al ( 2000). Advanced Modular Mathematics Statistics 2.2rded. UK: Harper Collins.

Smitters, G et. al ( 2000). Advanced Modular Mathematics Statistics 3.2rded. UK. Harper Collins.

Spielgel, R. M (2000). Statistics crash course. USA: Mc Graw Hill.