
Maths / Basic Statistics(1)
.pdf
Basic Statistics
Measures of Central Tendency
The mean is the statistical term for the average.
The mean is calculated by adding all scores then dividing by the number of scores. |
|||||
|
̅ |
|
|
∑ = |
|
Mean = |
|
= |
∑ |
|
to add |
The median is the middle score or average of the two middle scores (once the scores are arranged in order).
The mode is the score with the highest frequency.
Example: Below are the wages of ten employees in a small business: $220 $230 $290 $275 $265 $250 $1500 $220 $220 $240
(a)Calculate the mean wage
(b)Calculate the median wage
(c)Calculate the mode wage
(d)Does the mean, median or mode give the best measure of a typical wage in the business?
Answers |
∑ |
|
|
|
|
|
|
|
|
|
|
(a) |
Mean = |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
= |
220+230+290+275+265+250+1500+220+220+240 |
|
|
|||||||
|
|
3710 |
|
|
10 |
|
|
|
|
|
|
|
= |
|
|
|
|
|
|
|
|
||
|
= |
10 |
|
|
|
|
|
|
|
|
|
|
$371.00 |
|
|
|
|
|
|
|
|
||
(b) |
Median (remember must be in order) |
|
|
|
|
|
|
||||
|
220 |
220 |
220 |
230 |
240 |
250 |
265 |
275 |
290 |
1500 |
|
|
Median = |
240+250 |
|
|
|
|
|
|
|
|
|
|
|
2 |
|
|
|
|
|
|
|
|
=$245

(c)Mode = $220.00 (as it occurs 3 times)
(d)In this case, the median is the best measure of the typical score, because the mode is the lowest wage and the mean is inflated by the $1500.00
Practice Questions:
Calculate the mean, median, and mode of:
1.4, 8, 3, 5, 5
2.16, 24, 30, 35, 23, 11, 45, 28, 16, 16
3.9.2, 9.7, 8.8, 8.1, 5.6, 7.5, 8.5, 6.4, 9.2
Answers: |
|
̅ |
|
|
|
|
|
|
|
|
|
|
|
|
|
||
1. |
Mean |
= |
|
= |
∑ |
|
|
|
|
|
|
|
= |
4+8+3+5+5 |
|
|
|
|
|
|
|
= |
25 |
5 |
|
|
|
|
|
|
|
5 |
|
|
|
|
|
|
|
= |
5 |
|
|
|
|
Median = |
|
3 |
4 |
5 |
5 |
8 |
|
|
|
|
Median = 5 |
|
|
|
||
|
Mode |
= 5 |
|
|
|
|
|
|

|
|
|
̅ |
|
|
|
|
|
|
|
|
|
|
|
2. |
Mean |
= |
|
= |
|
∑ |
|
|
|
|
|
|
|
|
|
|
|
|
= |
|
244 |
|
|
|
|
|
|
|
|
|
|
|
|
= |
|
10 |
|
|
|
|
|
|
|
|
|
|
|
|
|
24.4 |
|
|
|
|
|
|
|
||
|
Median = |
11 |
= |
+ |
16 |
23 |
24 |
28 |
30 |
35 |
45 |
|||
|
16 |
|
16 |
|||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
= 23.5 |
|
|
|
|
|
|
|
|
||
|
Mode |
= |
16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
̅ |
|
|
|
|
|
|
|
|
|
|
|
3. |
Mean |
= |
|
= |
|
∑ |
|
|
|
|
|
|
|
|
|
|
|
|
= |
|
73 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
|
|
|
|
|
|
|
|
|
|
|
|
= |
|
8.11 |
|
|
|
|
|
|
|
|
|
Median = |
5.6 |
6.4 |
|
7.5 |
8.1 |
8.5 |
8.8 |
9.2 |
9.2 |
9.7 |
|
||
|
|
|
|
= |
|
8.5 |
|
|
|
|
|
|
|
|
|
Mode |
= |
9.2 |
|
|
|
|
|
|
|
|
|
|
|

Measures of Spread |
|
|
|
|
|
|
|
Range = highest score - lowest score |
|
||||||
Lower Quartile |
= |
|
lowest1 |
|
|
|
|
|
= |
|
25% of the scores |
||||
Upper Quartile |
= |
|
highest3 |
|
|
||
= |
|
25% of the scores |
|||||
Interquartile Range |
= |
- |
|
|
|
|
|
(IQR) |
= |
|
upper3 quartile1 |
– lower quartile |
|||
|
= |
|
middle 50% of the scores |
||||
Standard Deviation |
= |
|
a measure of how much a typical score in a data set differs |
||||
|
|
|
from the mean |
|
|||
|
σ = |
|
2 |
|
|
|
|
|
∑( −̅) |
|
|
|
|||
|
|
|
|
|
Example:
Here are the number of home runs scored in a series of base ball matches: 12 9 4 6 5 8 9 4 10 2
Calculate the
a)Range
b)Interquartile range
c)Standard deviation
(a) |
Range |
= |
Top score – bottom score |
=12 – 2
=10
(b)Write the data in ascending order.
2 |
4 |
4 |
5 |
6 |
8 |
9 |
9 |
10 |
12 |

Divide the data set in two |
|
|
|
|
|
|
|
|
|
|||
2 |
4 |
4 |
5 |
6 |
8 |
9 |
9 |
10 |
12 |
|||
Lower quartile |
|
= |
the median of the lower half |
|
|
|
|
|
||||
|
|
|
= |
4 |
|
|
|
|
|
|
|
|
Upper quartile |
|
= |
the median of the upper half |
|
|
|
|
|
||||
|
|
|
= |
9 |
|
|
|
|
|
|
|
|
So IQR |
|
= |
9 – 4 |
|
|
|
|
|
|
|||
|
|
|
= |
5 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
(c) |
|
|
x |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2 |
|
|
|
2- 6.9 = -4.9 |
|
|
24.01 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
|
|
|
-2.9 |
|
|
8.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
|
|
|
-2.9 |
|
|
8.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
|
|
|
-1.9 |
|
|
3.61 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
|
|
|
0.9 |
|
|
0.81 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
|
|
|
1.1 |
|
|
1.21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
|
|
|
2.1 |
|
|
4.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
|
|
|
2.1 |
|
|
4.41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
|
|
|
3.1 |
|
|
9.61 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
|
|
|
5.1 |
|
|
26.01 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
= 69 |
|
|
|
|
|
∑ |
|
= 92.11 |
|
|
|
̅= 6.9 |
|
|
|
|
|
|
|
|
|||
|
|
|
|
|
|
(−̅) |
|
|
|
|
|
|
Standard deviation |
= |
σ = |
|
2 |
|
|
|
|
|
|
||
|
|
|
|
|
|
|
=9210.11
=3.03
Practice Questions:
For the following sets of data, calculate the:
(a)Range
(b)Interquartile range
(c)Standard deviation
1.3, 5, 9, 2, 7, 1, 6, 5
2.11, 8, 7, 12, 10, 11, 14
3.25, 15, 78, 35, 56, 41, 17, 24

Answers
1(a) Range = |
9 – 1 |
=8
(b) |
1 |
2 |
3 |
5 |
5 |
6 |
7 |
9 |
|
Lower quartile= |
2.5 |
|
|
|
|
||
|
Upper quartile = |
6.5 |
|
|
|
|
||
|
IQR |
|
= |
6.5 -2.5 |
|
|
|
|
=4
(c) |
|
|
|
|
|
|
x |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
|
-3.75 |
|
14.06 |
|
|
|
|
|
|
|
|
|
2 |
|
-2.75 |
|
7.56 |
|
|
|
|
|
|
|
|
|
3 |
|
-1.75 |
|
3.06 |
|
|
|
|
|
|
|
|
|
5 |
|
0.25 |
|
0.06 |
|
|
|
|
|
|
|
|
|
5 |
|
0.25 |
|
0.06 |
|
|
|
|
|
|
|
|
|
6 |
|
1.25 |
|
1.56 |
|
|
|
|
|
|
|
|
|
7 |
|
2.25 |
|
5.06 |
|
|
|
|
|
|
|
|
|
9 |
|
4.25 |
|
18.06 |
|
|
|
|
|
|
|
|
|
= 38 |
|
|
|
∑ |
= 49.48 |
|
̅= 4.75 |
|
|
|
||
Standard deviation |
σ = |
|
498.48 |
|
|
|
|
|
= 2.49 |
|
|
2(a) Range = |
14 - 7 |
=7
(b) |
7 |
8 |
10 |
11 |
11 |
12 |
14 |
|
|
|
|
|
Median |
= |
11 |
(don’t include in IQR Calculation) |
|
|
|||||
|
Bottom half |
= |
7 |
8 |
10 |
|
Top half |
11 |
12 |
14 |
|
|
Lower quartile= |
8 |
|
|
|
|
|
|
|
||
|
Upper quartile = |
12 |
|
|
|
|
|
|
|
||
|
IQR |
|
= |
12 - 8 |
|
|
|
|
|
|
|
=4
(c)
|
x |
|
|
|
|
|
|
|
|
|
|
7 |
|
-3.43 |
|
11.76 |
|
|
|
|
|
|
|
8 |
|
-2.43 |
|
5.9 |
|
|
|
|
|
|
|
10 |
|
-0.43 |
|
0.18 |
|
|
|
|
|
|
|
11 |
|
0.57 |
|
0.32 |
|
|
|
|
|
|
|
11 |
|
1.57 |
|
2.46 |
|
|
|
|
|
|
|
12 |
|
2.57 |
|
6.6 |
|
|
|
|
|
|
|
14 |
|
4.57 |
|
20.88 |
|
|
|
|
|
|
|
|
̅= 10.43 |
|
|
∑ |
= 48.1 |
|
= 73 |
|
|
|
|
Standard deviation |
σ = 487.1 |
|
|||
|
|
= 2.62 |
|
|
3.(a) Range = |
78 -15 |
=63
(b) |
15 |
17 |
24 |
25 |
35 |
41 |
56 |
78 |
|
Lower quartile= |
2 |
Upper quartile = |
2 |
||||
|
17+24 |
41+56 |
||||||
|
|
|
= |
20.5 |
|
|
= |
48.5 |
|
IQR |
|
= |
48.5 – 20.5 |
|
|
|
|
=28
(c) |
|
|
|
|
|
|
|
|
x |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
15 |
-21.4 |
|
457.96 |
|
|
|
|
|
|
|
|
|
|
17 |
-19.4 |
|
376.36 |
|
|
|
|
|
|
|
|
|
|
24 |
-12.4 |
|
153.76 |
|
|
|
|
|
|
|
|
|
|
25 |
-11.4 |
|
129.96 |
|
|
|
|
|
|
|
|
|
|
35 |
-1.4 |
|
1.96 |
|
|
|
|
|
|
|
|
|
|
41 |
4.6 |
|
21.16 |
|
|
|
|
|
|
|
|
|
|
56 |
19.6 |
|
384.16 |
|
|
|
|
|
|
|
|
|
|
78 |
41.6 |
|
1730.56 |
|
|
|
|
|
|
|
|
̅ |
= |
291 |
|
∑ |
=3255.88 |
|
= |
|
||||
|
|
8 |
|
|
|
|
|
|
=36.4 |
|
|
|
Standard deviation = σ
= 32558 .88
= 20.17

Frequency Histograms
There are 38 houses in a suburban street. The following table represents the number of people in each house:
No. of People |
Frequency |
1 |
1 |
2 |
4 |
3 |
10 |
4 |
15 |
5 |
8 |
Show this information in a histogram.
Frequency Histogram - suburban street
Frequency
16
14
12
10
8
6
4
2
0
1 |
2 |
3 |
4 |
5 |
Number of People in a House
Practise Question:
The marks out of 20 received by 30 students in a book review assignment are given below:
Mark |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
Frequency |
2 |
7 |
6 |
5 |
4 |
2 |
3 |
0 |
1 |
Draw a frequency histogram to represent this data.