1. Chapter One Univariate Data Student Notes

2. Working with categorical data - Page 4
Contents
Chapter 1A
Types of Data
Working with categorical data - Page 4
Dot plot (line plot) – Page 6
Chapter 1B
Grouping Data – Page 8
Histograms and Polygons – Page 10
CAS Calculator Steps – Page 12
Chapter 1D
1D Measures of central tendency – Page 15

3. Data Chapter 1A – Types of Data Categorical Numerical Nominal Ordinal
Non numerical data
Numerical
Numerical data
Nominal
eg. Favourite fruit
- Mangoes
- Apples
- Bananas
Ordinal
eg. Opinion of death sentence
- Strongly agree
- Agree
- Not sure
- Disagree
- Strongly disagree
Discrete
Whole number responses
eg. Number of children in a school - 382
Continuous
Can have decimals or
fractions within answer.
eg. Height of class members
175.5cm, cm, cm.

4. Working with categorical data
Example 1
As part of a survey, a group of 30 teachers was asked to respond to the statement: ‘There is essentially no difference between the reasoning patterns used by boys’ and girls’. The teachers were asked to respond by writing T if they thought that the statement was true, F if they thought that the statement was false and U if they were unsure. The results were collated as follows.
T F F F T F
T U T F T U
U F T F T T
T U U F T F
F F U T U T
Summarise the results using a frequency distribution table.
Represent the data by using a bar chart.
Find the frequency of teachers who thought that the statement was true.
Find the relative frequency of teachers who thought that the statement was true.
Find the percentage frequency of teachers who thought the statement was true.

5. C) 12 teachers thought that the statement was true.
D) Relative Frequency (T) = = 𝑜𝑓 𝑡ℎ𝑒 𝑡𝑒𝑎𝑐ℎ𝑒𝑟𝑠 𝑡ℎ𝑜𝑢𝑔ℎ𝑡 𝑡ℎ𝑎𝑡 𝑡ℎ𝑒 𝑠𝑡𝑎𝑡𝑒𝑚𝑒𝑛𝑡 𝑤𝑎𝑠 𝑡𝑟𝑢𝑒
E) % Relative Frequency = x 100 = 40%

6. Dot plot (line plot) Example 2
A group of 20 students were asked their reading preference.
comic novel newspaper novel newspaper
magazine magazine newspaper novel other
magazine magazine magazine newspaper comic
novel other magazine newspaper newspaper
Represent the data in a dot plot.
(b) What type of data is represented by the graph?

7. comic novel newspaper novel newspaper
magazine magazine newspaper novel other
magazine magazine magazine newspaper comic
novel other magazine newspaper newspaper

8. Chapter 1B – Numerical Data
Grouping data
Numerical data may be presented as either grouped or ungrouped.
Example: Ungrouped data: the number of cinema visits during the month by 20 students.
Number of visits 1 2 3 4
Frequency 6 7
When there is a large amount of data or if the data are spread over a wide range it is useful to group the scores into groups or classes.
Example: Grouped data: number of passengers on each of 20 bus trips.
Number of passengers
5-9
10-14
15-19
20-24
25-29
Frequency 1 6 8 4

9. Frequency Distribution Tables
When making the decision to summarise raw data by grouping it on a frequency distribution table, the choice of class size is important. As a general rule try to choose a class size, so 5 to 10 groups are formed.
Example 1: The number of nails in a sample of 40 nail boxes.

10. Histograms and polygons
Using Histograms – Worked Examples
Example 3: The following data shows the number of siblings of each of the 30 students in a particular class.
Number of siblings 1 2 3 4
Frequency 7 14 6
Draw a histogram of the data.
Ungrouped data labels should appear centre of columns

11. 6 of the students in the class had 2 siblings each
(b) What is the frequency of the students with 2 siblings?
6 of the students in the class had 2 siblings each
(c) What was the relative frequency of the students with 2 siblings?
(d) What was the percentage frequency of the students with 2 siblings?
So 20% of all students in the class had 2 siblings each.

12. CAS Calculator Steps
Another method of drawing the histogram using the CAS calculator:
Menu
Data
Summary Plot
XList – select “numsib” as the scale on the x-axis
Summary Plot select “freq” as the scale on the y-axis
Display on: select New Page then press OK

13. Represent the data on a frequency distribution table.
Example 4: The following data give the weights (in kg) of a sample of 25 Atlantic salmon selected from a holding pen at a fish farm.
10.2
12.6
10.4
9.8
12.2
8.7
11.3
14.1
10.8
10.7
9.5
13.4
8.8
10.0
12.1
11.4
11.7
11.0
10.9
9.6
Represent the data on a frequency distribution table.

14. (b) Draw a histogram of the data.
Add a polygon to the histogram
What word could you use to describe the pattern of the distribution of the data?
Choose one of the following: normal, positively skewed, negatively skewed, bimodal, clustered or spread.
Refer to the histogram, you can see the polygon added
Why? Refer to your notes.

15. 1D Measures of Central Tendency
The mean
The mean is the average score in the set of data.
𝑥 = 𝑥𝑖 𝑛
This means: The sum of all the scores divided by the number of scores (n)
The median
The median of a set of scores is the middle score when the data are arranged in ascending order.
𝑚𝑒𝑑𝑖𝑎𝑛 𝑝𝑜𝑠𝑖𝑡𝑖𝑜𝑛= 𝑛+1 2 th score