Tuesday, January 19, 2010

Bab & Sub Modul

Apa yang akan anda berlajar sepanjang semester ini ialah ---->



CHAPTER 1 : CHAPTER 1 : INTRODUCTION TO STATISTICS

1.1 Introduction

1.1.1 Definition Of Statistics

1.1.2 Types of Statistics

· Descriptive statistics

· Inferential/Inductive Statistics

1.1.3 Some Common Statistical Terms

· Population

· Sample

1.2 Variables

1.2.1 Definition Of Variables

1.2.2 Types Of Variables

1.2.2.1 Qualitative Variable

1.2.2.2 Quantitative Variable

· Discrete

· Continuous

1.3 Types Of Graph

1.3.1 Bar Graph

1.3.2 Pictograph Chart/Picture Chart

1.3.3 Pie Chart & Line Chart

1.3.4 Histogram

1.3.5 Polygon

1.3.6 Ogive

CHAPTER 2 : CONSTRUCTING FREQUENCY DISTRIBUTION TABLE

2.1 Data Collection

2.1.1 Definition Of Data

2.1.2 Types Of Data

2.1.1.1 Qualitative

2.1.1 .2 Quantitative

2.1.3 Sources Of Data

2.1.3.1 Primary Data

2.1.3.2 Secondary Data

2.1.4 Data Collection methods

2.1.5 Data Presentation

2.6.1 Qualitative Data : Bar Graph, pie chart and line chart

2.6.2 Quantitative Data: Frequency Distribution Table, Relative Frequency Distribution

2.2 Constructing Frequency Distribution Tables

2.2.1 Organize data into a frequency distributions

2.2.2 Contructs a frequency table from raw data

2.2.3 Steps to Constructing Frequency Distribution Tables

2.2.3.1 Decide on the number of classes

2.2.3.2 Determine the class interval or width

2.2.3.3 Set the individual class limits

2.2.3.4 Tally

2.2.3.5 Count the number of items in each class

2.3 Portray and analysis a frequency distribution graph

2.3.1 Histogram

2.3.2 Frequency Polygon

2.3.3 Ogive (cumulative Frequency Curve)

· Less Than -Ogive

· More Than-Ogives

2.4 Uses these graph to make decisions

CHAPTER 3 : MEASURES OF CENTRAL TENDENCY /MEASURE OF LOCATIONS

3.1 Definition Measures Of Central Tendency

3.1.1 Mean

3.1.1.1 Definition Of Means

3.1.1.2 Calculating Mean

· Ungrouped Data/Raw Data – arithmetic means

· Grouped Data –

3.1.1.3 Characteristics, uses, advantages and disadvantages of mean

3.1.1 Median

3.1.1.1 Definition Of Median

3.1.1.2 Calculating Median

· Ungrouped Data/Raw Data –

· Grouped Data –

3.1.3 Mode

3.1.3.1 Definition of Mode

3.1.3.2 Calculating Mode

· Ungrouped Data/Raw Data –

· Grouped Data –

3.2 The relationship between mean, median and mode

3.3 Symmetrical and skewed distributions

· Symmetrical Distribution

· Skewed Right Distribution

· Skewed Left Distribution

3.4 Quartiles (Q), Deciles (D) and Percentiles (P)

3.4.1 Quartiles (Q) & Interquartiles

3.4.1.1 Definition of Quartiles

3.4.1.2 Calculating Quartile

· Ungrouped Data/Raw Data

· Grouped Data

3.4.2 Percentiles (P)

3.4.2.1 Definition of Percentiles

3.4.2.2 Calculating Percentiles

· Ungrouped Data/Raw Data

· Grouped Data

3.4.3 Deciles (D)

3.4.3.1 Definition of Deciles

3.4.3.2 Calculating Deciles

· Ungrouped Data/Raw Data

· Grouped Data

CHAPTER 4 : MEASURES OF DISPERSION / MEASURES OF SPREAD

4.1 Definitions Measures Of Dispersion /Spread

4.2 Calculating distance measures of dispersion

4.2.1 Range

4.2.1.1 Definition of range

4.2.1.2 Calculating range

· Ungrouped Data/Raw Data

· Grouped Data

4.2.2 Mean Deviation

4.2.2.1 Definition of mean deviation

4.2.1.2 Calculating mean deviation

· Ungrouped Data/Raw Data

· Grouped Data

4.2.3 Variance

4.2.3.1 Definition of variance

4.2.3.2 Calculating variance

· Ungrouped Data/Raw Data

· Grouped Data

4.2.4 Standard Deviation

4.2.4.1 Definition of standard deviation

4.2.4.2 Calculating standard deviation

· Ungrouped Data/Raw Data

· Grouped Data

4.2.5 Coefficient Of Variation (CV)

4.2.5.1 Definition of CV

4.2.5.2 Calculating CV

4.3 Characteristics, uses, advantages and disadvantages of each measure of dispersion

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Blog ini diwujudkan bagi memudahkan proses P&P antara pelajar dan pensyarah. Pensyarah telah mengajar modul ini selama 5 tahun . Semoga modul ini dapat membantu pelajar-pelajar terutama pelajar Sijil Perakaunan Perniagaan Kolej Komuniti Ledang.