# Chapter 9.1-9.3

# Chapter 9.1-9.3

by J Graham
# 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.

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