MTE3105

1) Probability•Introduction to probability

oTheoritical

oEmpirical

•Compound Events

oIndependent Events

oMutually Exclusive

•The Addition and Multiplication Rule

•Probability Tree

oTheoretical

•Conditional Probabilities

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

•Est imat ing the Mean and STD of Populat ion From Sample Data

•Estimating the mean of a population basedon a small sample size

3) Hypothesis testing•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 populationvariance(standard deviation)

4) The Chi-square hypothesis test•The general procedure for the test

•The goodness of fit test

•the test of association

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

•Calculating ANOVA by hand

•Calculating ANOVA using EXCE

6) Linear Regression Introduction

Independent variables

Dependent variables

Scatter diagram

The least squares straight line

Interpolation and extrapolation