Quantitative data
Name:
Date:
Class:
A
Quick Questions
Shade in the A or B circle for each question.
1. Which is an example of quantitative data?
2. Quantitative data is best described as...
3. The number of goals scored in a footy match is which type of quantitative data?
4. A sensor records the temperature of a room as 22.6 degrees. What type of quantitative data is this?
5. Which data can be used in calculations such as finding an average?
B
Match the Pairs
Draw a line connecting each item on the left to its match on the right.
| Left column | Right column | |
|---|---|---|
| 1students = 28 | A=AVERAGE(B2:B30) | |
| 2temperature = 23.7 | B=COUNTIF(B2:B30,">50") | |
| 3Quantitative data can be used in calculations, such as finding an average score | CHeight is measured and can have decimals, so it is continuous data, not discrete data | |
| 4Quantitative data can be counted, such as how many students scored over 50 | DContinuous quantitative data: a measurement that can take any value on a scale, including decimals | |
| 5Quantitative data: eye colour = blue | EDiscrete quantitative data: a count of whole items that cannot be split into fractions | |
| 6Discrete data: height = 172.5 cm | FEye colour is a description (qualitative data), not a number that is counted or measured, so it is not quantitative |
C
Definitions
Quantitative data
D
Fill in the Blanks
Complete each line of code by filling in the missing parts.
1.
=_______(B2:B30)
2.
=_____(A2:A30)
3.
=___(C2:C20)
4.
=MAX(C2:C20)_MIN(C2:C20)
5.
=___(B2:B30)/COUNT(B2:B30)
E
Spot the Error
Shade in the letter of the line that contains an error.
Question 1
A
ages = [15, 16, 16, 17]
B
total = sum(ages)
C
count = len(ages)
D
average = total * count
Question 2
A
students = 28
B
absent = 3
C
present = students + absent
Question 3
A
temps = [18.5, 21.0, 19.5]
B
highest = max(temps)
C
lowest = max(temps)
Question 4
A
score = "87"
B
bonus = 5
C
total = score + bonus
D
print(total)
Question 5
A
measure = "temperature"
B
counted = False
C
kind = "discrete"
D
print(kind)
Answer Key
Quantitative data
Section A: Quick Questions
Q1
A — The number of students in a class: 28
Q2
A — Numerical data that can be counted or measured
Q3
B — Discrete (counted)
Q4
B — Continuous (measured)
Q5
A — Test scores: 72, 85, 91
Section B: Match the Pairs
Q1
students = 28 → Discrete quantitative data: a count of whole items that cannot be split into fractions
Q2
temperature = 23.7 → Continuous quantitative data: a measurement that can take any value on a scale, including decimals
Q3
Quantitative data can be used in calculations, such as finding an average score → =AVERAGE(B2:B30)
Q4
Quantitative data can be counted, such as how many students scored over 50 → =COUNTIF(B2:B30,">50")
Q5
Quantitative data: eye colour = blue → Eye colour is a description (qualitative data), not a number that is counted or measured, so it is not quantitative
Q6
Discrete data: height = 172.5 cm → Height is measured and can have decimals, so it is continuous data, not discrete data
Section C: Definitions
Q1
Quantitative data — Numerical data that can be counted (discrete, like number of students) or measured (continuous, like temperature) and used in calculations, such as ages, scores and temperatures.Section D: Fill in the Blanks
Q1
=AVERAGE(B2:B30)Q2
=COUNT(A2:A30)Q3
=MAX(C2:C20)Q4
=MAX(C2:C20)-MIN(C2:C20)Q5
=SUM(B2:B30)/COUNT(B2:B30)Section E: Spot the Error
Q1
D — The average (mean) of quantitative data is the total divided by the count, so it should be total / count.
Q2
C — Students who are present are found by subtracting the absent count from the total, so it should be students - absent. Counts are quantitative data and can be used in calculations.
Q3
C — The lowest temperature needs min(temps). max() finds the highest value.
Q4
A — Quotes make 87 a string (text), not a number, so it can't be used in calculations. Quantitative data should be stored as a number: score = 87.
Q5
C — Temperature is measured, not counted, so it is continuous quantitative data. Discrete data is counted, like the number of students.