2 Probabilities and Random Variables
1.
2.
3.
4.
5.
6.
Permutations and Combinations
Sample Spaces, Events and Probabilities
Conditional Probabilities and Independence
Random Variables
Discrete Random Variables
Continuous Random Variables
Section 2.1 Perm
6 More Inference about a Population
Inference about a Normal Population Mean: Variance Unknown
Section 6.1 Inference about a Normal Population Mean: Variance
Unknown
Assumption The population follows N(, 2).
Let X be the sample mean of a sample taken
from
5 Introduction to Hypothesis Testing
1.
2.
Basic Concepts
Tests about Normal Population Mean: Variance Known
Section 5.1 Basic Concepts
Consider an example about soft-drink cans. Suppose we take a sample of 100
cans of the soft drink under investigation.
1 Data and Descriptive Statistics
1.
2.
3.
4.
5.
Data and Statistics
Tabular and Graphical Methods for Summarising Qualitative Data
Tabular and Graphical Methods for Summarising Quantitative Data
Measures of Central Location and Variability
Weighted Mean
3 Sampling
1.
2.
3.
4.
Statistical Inference
Sampling Plan
Simple Random Sampling
Distributions of Sample Means
Section 3.1 Statistical Inference
Statistical inference: using data obtained from a sample to make decisions or
predictions about the populatio
4 Introduction to Estimation
1. Point Estimation and Interval Estimation
2. Interval Estimation of Normal Population Mean: Variance Known
3. Determining the Sample Size
Section 4.1 Point Estimation and Interval Estimation
In point estimation we make use o