Flashcards in Chapter 6- The Normal Curve, Standardization, and z Scores Deck (16):

1

## What is a normal curve?

### A normal curve is a specific bell shaped curve that is unimodial, symmetric, and defined mathematically

2

## What does the normal curve describe?

### A normal curve describes the distributions of many characteristics and measures that vary.

3

## What occurs when the sample size increases?

### When the sample size increases, the shape of the distribution become more like the normal curve.

4

## What is standardization?

### Standardization coverts individual scores to standard scores and allows us to determine where the score falls in realation to other scores

5

## How do you calculate the z score?

### The z score is calculated by subtracting the observation from the mean then dividing the number by the standard deviation SD

6

## When the observation is above the mean, will the score be negative or positive?

### The score will always be positive

7

## When the observation is below the mean, will the score be negative or positive?

### The score will always be negative

8

## When the observation is the same as the score, what is the z score then?

### The score will be 0

9

## Converting z scores will always have a mean of _____ and a standard deviation of _____

### 0, 1

10

## Will standardizing scores change the shape of the distribution?

### No, standardizing does not change the shape of the distribution

11

## How do you calculate a raw score if you are given the z score, SD and mean?

### Z score x SD+mean= Raw Score

12

## What are population distributions?

### Population distributions are theoretical and assumed to be normal

13

## What are sample distributions?

### Sample distributions are observed and as the population increases, the normal distribution increases

14

## How do you calculate percentiles of normal distribution?

### If number is 0, the percent is 50. If the number is negative, start counting from right. If the number is positive, count from left (count from opposite side)

15

## What is the central limit theorem?

### As the sample size increases, the sampling distribution of the mean will approach a normal distribution

16