STA408

COURSE DESCRIPTION

This course introduces the students to the basic and intermediate methods of data analysis. Emphasis will be given to the usage of descriptive and inferential statistics including measures of central tendency, measures of dispersion, correlation, regression, hypothesis testing and analysis of variance. Students will be able to interpret the computer output from the statistical software. 

COURSE OUTCOMES

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

1. Explain the theoretical basis for inferential statistics. (C2)

2. Determine the appropriate statistical tests to solve problems (C5)

3. Demonstrate interpersonal skills in group work related to inferential statistics (A3)

SYLLABUS CONTENT

Chapter 1: Probability Distributions

• Discrete Probability Distribution

• Continuous Probability Distribution

Chapter 2: Estimation and Hypothesis Testing

• Sampling Distribution of the sample mean

• Concept of Estimation – Point and Interval Estimation (small and large sample)

• Confidence intervals for a population mean

• Confidence intervals for the difference of two means. (independent and dependent samples)

• Confidence intervals for a population variance and the ratio of two variances

• Concept of hypothesis testing

• Hypothesis tests about a population mean

• Hypothesis testing for the difference between two population means

• Hypothesis testing for a population variance and two variances

Chapter 3: Analysis of Variance (ANOVA)

• Terms in Experimental Design

• One-way ANOVA: Completely Randomized Design

• Two-way ANOVA: Randomized Complete Block Design

• Two-way ANOVA with interaction: Complete Randomized Factorial Design

Chapter 4: Bivariate Analysis

• Correlation

• Simple Linear Regression

• Test of Linear Relationship