Must Know Statistics Book is READY
Tempahan Buku Must Know Statistics.
Pembelian melebihi 1 naskah dalam satu transaksi pembayaran akan menerima Weekly To Do List secara Percuma (terhad untuk 30 tempahan sahaja). Kedua-duanya dalam bentuk buku bercetak. Bukan secara softcopy.
Must-Know Statistics is written for young researchers who are new in doing data analysis using statistical methods. No former knowledge of statistics is desired or expected. Even you have never registered a statistics or advanced mathematics courses, this book may help you to crunch numbers and interpret statistics easily. This book is designed to reduce your fear of statistics and help learn data analysis via software quickly. The author guides through a step-by-step explanation using examples. Perhaps, this book might become valuable, meaningful, and priceless to young researcher who claim they as beginner and clueless.
Shamshuritawati Sharif
My website : www.shamshuritawati.com
Sintok, Kedah, Februari 2021
Normal Price RM65.00
===========================================================================================
CONTENT
TOPIC
1 INTRODUCTION TO STATISTICS
1.1
The Science of Statistics
1.2
The Importance of Statistic
1.3
Type of Statistics
1.4
Population Versus Sample
1.5
Types of Variable
1.6
Sampling Technique
1.7
Data Collection Methods
TOPIC
2 INTRODUCTION TO SPSS
2.1
Basic Steps in Data Analysis
2.2
Launch SPSS
2.3
Menus
2.4
Data Editor
2.5
SPSS Viewer
2.6
Copying and Pasting Results
TOPIC
3 DATA PREPARATION
3.1
Defining Variable
3.2
Entering Data
3.3
Inserting and Deleting Variable and Cases
3.4 Moving a Variable
TOPIC
4 DATA SCREENING AND TRANSFORMATION
4.1
Working Example - Filename:
SubDataExploratory.sav
4.2
Errors in data Entry
4.3
How to Handle Missing Data
4.4
Normality Assumption
TOPIC
5 INTRODUCTION TO DESCRIPTIVE STATISTICS
5.1
Graphical Techniques
5.2
Mean, Mode,
Median and Standard Deviation
TOPIC 6
EXPLORATORY STATISTICS
6.1
Working Example - Filename: SubData.sav
6.2
Summaries
6.3
Descriptive Statistics
TOPIC 7 DOMINANCE CRITERIA INDENTIFICATION METHOD
7.1
Introduction
7.2
Conditional Probability and Pareto Analysis
7.3 Index Computation
TOPIC 8 HYPOTHESIS TESTING
8.1
Introduction
8.2
Conducting Hypothesis Testing Using P-Value
Approach
8.3 Parametric and Nonparametric Statistics
TOPIC 9 INDEPENDENT SAMPLE T-TEST
9.1
Independent Sample T-Test
9.2
Data Consideration
9.3
Working Example and Hypothesis Statement
9.4 To Obtain an Independent Sample T-Test
TOPIC 10
MANN WITHNEY U TEST
10.1
Mann Withney U Test
10.2
Data Consideration
10.3
Working Example and Hypothesis Statement
10.4
To Obtain a Mann Withney U Test
TOPIC 11
PAIRED SAMPLE T-TEST
11.1
Paired Sample T-Test
11.2
Data Consideration
11.3
Working Example and Hypothesis Statement
11.4
To Obtain a Paired Sample T-Test
TOPIC
12 WILCOXON SIGNED RANK TEST
12.1
Wilcoxon Signed Rank Test
12.2
Data Consideration
12.3
Working Example and Hypothesis Statement
12.4
To Obtain a Wilcoxon Signed Rank Test
TOPIC 13 ANALYSIS OF VARIANCE
13.1
One Way Analysis of Variance (ANOVA)
13.2
Post Hoc Test
13.3
Data Consideration
13.4
Working Example and Hypothesis Statement
13.5
To Obtain a One Way ANOVA
TOPIC 14 KRUSKAL WALLIS TEST
14.1
Kruskal Wallis Test
14.2
Data Consideration
14.3
Working Example and Hypothesis Statement
14.4
To Obtain a Kruskal Wallis Test
15.1
Chi Square Test for Independence
15.2
Data Consideration
15.3
Working Example and Hypothesis Statement
15.4
To Obtain a Chi Square Test for Independence
TOPIC 16 CORRELATION COEFFICIENT
16.1
Correlation Coeeficient
16.2
Pearson Product-Moment Correlation Test
16.3
Spearman Rank Correlation Test
16.4
Working Example and Hypothesis Statement
16.5
To Obtain a Correlation Test
TOPIC 17 REGRESSION ANALYSIS
17.1
Regression Analysis
17.2
Simple Regression Analysis
17.3
The Interpretation of the Coefficient
17.4
Model Assumption
17.5
Testing The Regression Parameter
17.6
Prediction/Estimation
17.7
Coefficient of Determination
17.8
Multiple Linear Regression
17.9
Working Example and Hypothesis Statement
17.10
To Obtain a Simple Linear Regression-
Data_Reg1.sav
17.11
To Obtain a Simple Linear Regression-
Data_Reg2.sav
17.12
To Obtain a Multiple Linear Regression-
Data_Reg1.sav
17.13 To Obtain a Multiple Linear Regression- Data_Reg1.sav
17.14 Model Diagnostic Checking