STA404

This course introduces the students to the basic and intermediate methods of data analysis. It emphasizes the use of descriptive and inferential statistics including numerical descriptive, estimation, hypothesis testing, analysis of variance, chi-square test of independence and regression. Students will be exposed to analysis using statistical software, and interpretation of output.

At the end of the course, students should be able to:

1) Describe the concepts on given problems related to statistics for business and social sciences. (C2)

2) Determine an appropriate method to solve the given problems related to statistics for business and social sciences. (C5)

3) Demonstrate interpersonal skills in group work related to statistics for business and social sciences. (A3)

   CHAPTER 1: INTRODUCTION TO STATISTICS

• What is Statistics

• Descriptive and Inferential Statistics

• Variable, Types of Variable, Types of Data, and Level of Measurement

• Data Collection Methods

• Sampling Techniques (simple random sampling, stratified, systematic, cluster, convenience, quota, judgmental, and snowball)

CHAPTER 2: DESCRIPTIVE STATISTICS

• Organizing data (bar chart, pie chart, stem and leaf, box whisker plot, frequency distribution table and histogram)

• Numerical Descriptive Measures (ungrouped data)

• Measures of Central Tendency

• Measures of Variation (range, standard deviation, variance, coefficient of variation)

• Measure of Skewness

• Measures of Position

CHAPTER 3: ESTIMATION

• Sampling Distribution of the Mean

• Interval Estimation for a Mean

• Interval Estimation for the Difference Between Two Means (Independent Samples)

• Interval Estimation for the Dependent Samples

CHAPTER 4: HYPOTHESIS TESTING

• Concept of Hypothesis Testing

• Test of Mean Difference:

• Testing for a Mean

• Testing the Difference Between Two Means (Independent Samples)

• Testing the Difference Between Two Means (Dependent Sample)

• Testing for the Difference Among More Than Two Means (ANOVA: One-Way Analysis of Variance)

• Test for Independence

CHAPTER 5: BIVARIATE ANALYSIS

• Correlation (Scatter Diagram and Linear Correlation Coefficient)

• Simple Linear Regression

• Estimating Linear Regression using Least Square Method

• Coefficient of Determination