Flashcards in Descriptive statistics -Measures of central tendency and measures of dispersion Deck (25):

1

## What are descriptive statistics

### A describe the data and show as general patterns and trends

2

## There are two main ways to summarise data what are they?

### Measures of central tendency and measures of dispersion

3

## What is a conclusion?

### A conclusion succinctly describes the findings of a study

4

## What are inferential statistics?

### Where you make an inference from the conclusions based on the participants in your study and extend it to all people

5

## What are measures of central tendency?

### they inform us about central or middle values for a set of data -- they are averages

6

## An average can be calculated in three different ways - what are they?

### The mean, median mode

7

## How is the mean calculated?

### By adding up all the numbers and dividing by the number of numbers

8

## How is the median calculated?

### The median is the middle of value in an ordered list

9

## How is the mode calculated?

### Mode is a value that is most common

10

## What are the strengths of the mean?

### It makes use of the values of all the data

11

## What are the strengths of the median

### It is not affected by extreme scores

12

## What are the strengths of the mode?

### It is useful when the data are in categories

13

## What are the weaknesses of the mean

### It can be unrepresentative of the numbers if there are extreme values

14

## What are the weaknesses of the median?

### Not as sensitive as the mean because not all values are reflected in the median

15

## What other weaknesses of the mode?

### Not a useful way of describing data when there are several nodes

16

## What is the top tip when dealing with this typical exam question: identify a suitable method of central tendency to use with the results from this study and explain why you would choose the method

### Look to see if there are any extreme values in the dataset given and if there are then the median is best

17

## What are measures of dispersion?

### A set of data can be described in terms of how dispersed or spread out the numbers

18

## What is a range?

### The range is difference between the highest and lowest number

19

## What is standard deviation?

### This is a measure of the spread of the data around the mean

20

## What are the two main ways of measuring dispersion?

### The range and standard deviation

21

## Why would we use standard deviation rather than the range

### Standard deviation is a more precise method of expressing dispersion

22

## What are the strengths of the range?

### It is easy to calculate and it provides you with direct information without having to do many calculations

23

## What are the weaknesses of the range?

### It can be affected by extreme values and it doesn't take into account the number of observations in the data set

24

## What are the strengths of standard deviation?

### It is a more precise measure of dispersion because all values are taken into account

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