## 1. Section 9.1

### 1.1. Parameter

### 1.2. Statistic

### 1.3. Statistical Inference

## 2. Section 9.3

### 2.1. Sampling distribution

2.1.1. Is the probability distribution of possible values of the statistic for repeated samples of the same size taken from the same population.

### 2.2. Standard deviation of x

2.2.1. The standard deviation of the sampling distribution of a sample mean.

### 2.3. Standard deviation of p

2.3.1. The standard deviation of the sampling distribution of a sample proportion.

### 2.4. Standard error

2.4.1. describes the estimated standard deviation for a sampling distribution.

## 3. Section 9.2

### 3.1. Population Proportion

3.1.1. Which is a number between 0 and 1 representing the proportion with that trait.

### 3.2. Population mean

3.2.1. One of the simplest summaries for the population is the average of the variable for everyone in the population.

### 3.3. Paired Difference

3.3.1. Data that are formed by taking the differences in matched pairs.

### 3.4. Population mean for paired differences

3.4.1. Which is the mean that we would get if we took differences for the entire population of possible pairs.

### 3.5. Independent samples

3.5.1. The individuals in one sample are not coupled in any way with the individuals in the other sample.

### 3.6. Difference in two population means

3.6.1. The parameter of interest is the difference in two population means.