Flashcards in Measures of Central Tendency - Averages Deck (15)

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1

## How do you do a mean average?

### Add all data and divide by number of data

2

## Strength of a mean average

### It uses all of the data points so provides a good estimate for the central score of a data set (wholly representative)

3

## 2 weaknesses of a mean average

###
1.The mean is easily skewed by extreme values -anomalies

2.It cannot be used if the dataset is split into categories (non-numerical)

4

## What is a median average?

### Middle value when data is in numerical order

5

## Strength of Median

### Not affected by extreme values (weakness of mean)

6

## Weakness of median

### Not all values are used to calculate it, so the median may misrepresent data (strength of the mean)

7

## What is the Modal Average?

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Frequently occurring score

- there can be more than one mode if they occur frequently but generally a maximum of 2

- If every number appears equally (or 3+) there is no mode at all

8

## Strength of the mode

###
It is the only measure of central tendency that can be used on nominal* data

*non-numerical

9

## 2 Weaknesses of the mode

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1. It can be unrepresentative - doesn't always mean you can interpret your results

2. It is of limited value when there are several or no modes

10

## What is the scientific phrasing of the range?

### Measure of dispersion

11

## What does the range do?

### Show how data is spread out

12

## What are the two types of dispersion?

### range and standard deviation

13

## What is the significance of the range?

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It gives us an indication of reliability:

Small range = consistent data set = increased reliability of data

14

## What is standard deviation?

### Shows the average distance of the mean of all data points, it is a measurement of variation

15