4. Centre and Spread

Lesson

Standard deviation is a **measure of spread**, which helps give us a meaningful estimate of the variability in a data set. While the quartiles gave us a measure of spread about the median, the standard deviation gives us a measure of spread with respect to the mean. It is a weighted average of the distance of each data point from the mean. A small standard deviation indicates that most scores are close to the mean, while a large standard deviation indicates that the scores are more spread out away from the mean value.

We can calculate the standard deviation for a population or a sample.

The symbols used are:

$\text{Population standard deviation}$Population standard deviation | $=$= | $\sigma$σ |
(lowercase sigma) |

$\text{Sample standard deviation}$Sample standard deviation | $=$= | $s$s |

In statistics mode on a calculator, the following symbols might be used:

$\text{Population standard deviation}$Population standard deviation | $=$= | $\sigma_n$σn |

$\text{Sample standard deviation}$Sample standard deviation | $=$= | $\sigma_{n-1}$σn−1 |

Standard deviation is a very powerful way of comparing the spread of different data sets, particularly if there are different means and population numbers.

Standard deviation can be calculated using a formula. However, as this process is time consuming we will be using our calculator to find the standard deviation. Ensure settings are correct for the data given, this is particularly important when changing between data that is in a simple list to data that is in a frequency table.

Remember!

The three main **measures of spread** are:

**Range**–the size of the interval the data is spread over:

$\text{Range}=\text{Highest score}-\text{Lowest score}$Range=Highest score−Lowest score

The range is simple to calculate but only takes into account two values. The range is also significantly impacted by outliers.

**Interquartile range**–the range of the middle $50%$50% of data:

$IQR=Q_3-Q_1$`I``Q``R`=`Q`3−`Q`1

The interquartile range is relatively simple to calculate but only takes into account two values. It is not significantly affected by outliers.

**Standard deviation**–a weighted average of how far each piece of data varies from the mean:

The standard deviation is a more complex calculation but takes every data point into account. The standard deviation is significantly impacted by outliers.

For each measure of spread:

- A
**larger**value indicates a wider spread (**more variable**) data set. - A
**smaller**value indicates a more tightly packed (**less variable**) data set.

The mean income of people in Country A is $\$19069$$19069. This is the same as the mean income of people in Country B. The standard deviation of Country A is greater than the standard deviation of Country B. In which country is there likely to be the greatest difference between the incomes of the rich and poor?

Country A

ACountry B

BCountry A

ACountry B

B

Find the sample standard deviation of the following set of scores correct to $2$2 decimal places by using the statistics mode on the calculator:

$-14,5,1,-7,8,-17,-6,8,5,3$−14,5,1,−7,8,−17,−6,8,5,3

The table shows the number of goals scored by a football team in each game of the year.

Score ($x$x) |
Frequency ($f$f) |
---|---|

$0$0 | $3$3 |

$1$1 | $1$1 |

$2$2 | $5$5 |

$3$3 | $1$1 |

$4$4 | $5$5 |

$5$5 | $5$5 |

In how many games were $0$0 goals scored?

Determine the median number of goals scored. Leave your answer to one decimal place if necessary.

Calculate the mean number of goals scored each game. Leave your answer to two decimal places if necessary.

Use your calculator to find the population standard deviation. Leave your answer to two decimal places if necessary.

The scores of five diving attempts by a professional diver are recorded below.

$5.6,6.6,6.3,5.9,6.4$5.6,6.6,6.3,5.9,6.4

Calculate the population standard deviation of the scores to two decimal places if necessary.

On the sixth attempt, the diver scores $8.8$8.8. This score will:

decrease the mean and decrease the population standard deviation

Adecrease the mean and increase the population standard deviation

Bincrease the mean and increase the population standard deviation

Cincrease the mean and decrease the population standard deviation

Ddecrease the mean and decrease the population standard deviation

Adecrease the mean and increase the population standard deviation

Bincrease the mean and increase the population standard deviation

Cincrease the mean and decrease the population standard deviation

DIf each judge gave the same score for the $6$6th dive, what would be the standard deviation of the judges’ scores for this dive?

Two machines $A$`A` and $B$`B` are producing chocolate bars with the following mean and standard deviation for the weight of the bars.

Machine | Mean (g) | Standard deviation (g) |
---|---|---|

$A$A |
$52$52 | $1.5$1.5 |

$B$B |
$56$56 | $0.65$0.65 |

What does a comparison of the mean of the two machines tell us?

Machine $A$

`A`produces chocolate bars with a more consistent weight.AMachine $B$

`B`produces chocolate bars with a more consistent weight.BMachine $A$

`A`generally produces heavier chocolate bars.CMachine $B$

`B`generally produces heavier chocolate bars.DMachine $A$

`A`produces chocolate bars with a more consistent weight.AMachine $B$

`B`produces chocolate bars with a more consistent weight.BMachine $A$

`A`generally produces heavier chocolate bars.CMachine $B$

`B`generally produces heavier chocolate bars.DWhat does a comparison of the standard deviation of the two machines tell us?

Machine $B$

`B`generally produces heavier chocolate bars.AMachine $A$

`A`generally produces heavier chocolate bars.BMachine $B$

`B`produces chocolate bars with a more consistent weight.CMachine $A$

`A`produces chocolate bars with a more consistent weight.DMachine $B$

`B`generally produces heavier chocolate bars.AMachine $A$

`A`generally produces heavier chocolate bars.BMachine $B$

`B`produces chocolate bars with a more consistent weight.CMachine $A$

`A`produces chocolate bars with a more consistent weight.D

calculate and interpret statistical measures of spread, such as the range, interquartile range and standard deviation [complex]