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Chapter 9.1-9.3
by J Graham
# Chapter 9.1-9.3

## Section 9.1

### Parameter

### Statistic

### Statistical Inference

## Section 9.3

### Sampling distribution

### Standard deviation of x

### Standard deviation of p

### Standard error

## Section 9.2

### Population Proportion

### Population mean

### Paired Difference

### Population mean for paired differences

### Independent samples

### Difference in two population means

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Mind on Statistics, 3rd edition, Utts Heckard, Thomson Brooks Cole, 2007

"A parameter is a numberical summary of a population. Its value is considered to be fixed and unchanging." (Utts, 2007)

"A statistic, or sample statistic, is a numerical summary of a sample. its value may be different for different samples. The term sample estimate or estimate is synonymous and reinforces the idea that a statistic often is used to estimate the corresponding population parameter." (Utts, 2007)

Statistical inference or statistical induction comprises the use of statistics and random sampling to make inferences concerning some unknown aspect of a population. It is distinguished from...

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

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

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

describes the estimated standard deviation for a sampling distribution.

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

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

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

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

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

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