100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached 4,6 TrustPilot
logo-home
Exam (elaborations)

STA1501 Exam pack 2025(Descriptive Statistics and Probability)

Rating
-
Sold
-
Pages
224
Grade
A+
Uploaded on
04-12-2024
Written in
2024/2025

STA1501 Exam pack 2025(Descriptive Statistics and Probability)












Whoops! We can’t load your doc right now. Try again or contact support.

Document information

Uploaded on
December 4, 2024
Number of pages
224
Written in
2024/2025
Type
Exam (elaborations)
Contains
Questions & answers

Subjects

Content preview

STA1501 EXAM PACK
2025

QUESTIONS AND
ANSWERS
FOR ASSISTANCE CONTACT
EMAIL:

, lOMoARcPSD|50013335




STA1501/1




Contents


ORIENTATION xiv


1 WHAT IS STATISTICS? 1

1.1 Learning outcomes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

1.2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

1.3 Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

1.4 Parameter versus a statistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

1.5 Types of variable and information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

1.5.1 Examples of Quantitative variable . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

1.5.2 Examples of Qualitative variables . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

1.6 Measurement scale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3

1.6.1 Nominal level of measurement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.6.2 Ordinal level of measurement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.6.3 Interval level of measurement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.7 Study Unit 1: Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6




iii

, lOMoARcPSD|50013335




2 GRAPHICAL DESCRIPTIVE TECHNIQUES 7

2.1 Learning outcomes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

2.2 Types of data and information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

2.2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

2.2.2 Definitions of key terms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

2.2.3 Classification of data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

2.2.4 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

2.3 Describing set of nominal data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

2.3.1 Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

2.3.2 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

2.3.3 Bar graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

2.3.4 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

2.3.5 Comparative bar graph . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

2.3.6 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

2.3.7 A pie chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

2.3.8 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

2.4 Describing sets of interval data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

2.4.1 Frequency distribution for interval data . . . . . . . . . . . . . . . . . . . . . . . . 13

2.4.2 Graphs for interval data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

2.4.3 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

2.4.4 Shapes of histograms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

2.5 Describing the relationship between two variables and describing time series data . . . . . . 17

2.5.1 Describing time series data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

iv

, lOMoARcPSD|50013335




STA1501/1


2.5.2 Describing the relationship between two interval variables . . . . . . . . . . . . . . 18

2.5.3 Direction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

2.5.4 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

2.6 Graphical excellence and graphical deception . . . . . . . . . . . . . . . . . . . . . . . . . 19

2.6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

2.6.2 Graphical excellence and graphical deception . . . . . . . . . . . . . . . . . . . . . 20

2.7 Study Unit 2: Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21


3 NUMERICAL DESCRIPTIVE TECHNIQUES 23

3.1 Learning outcomes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

3.2 Measures of central tendency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

3.2.1 The arithmetic mean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

3.2.2 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

3.2.3 The median . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

3.2.4 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

3.2.5 The mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

3.2.6 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

3.2.7 Mean, Mode, Median: Choosing the best measure of central tendency . . . . . . . . 26

3.3 Measures of variability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

3.3.1 The range . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

3.3.2 The variance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

3.3.3 The standard deviation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

3.3.4 The coefficient of variation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

3.3.5 Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

v

Get to know the seller

Seller avatar
Reputation scores are based on the amount of documents a seller has sold for a fee and the reviews they have received for those documents. There are three levels: Bronze, Silver and Gold. The better the reputation, the more your can rely on the quality of the sellers work.
gabrielmusyoka940 db
View profile
Follow You need to be logged in order to follow users or courses
Sold
1472
Member since
2 year
Number of followers
247
Documents
1488
Last sold
1 day ago
Bstudy

provides latest exam paper

3,2

216 reviews

5
68
4
30
3
49
2
20
1
49

Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their exams and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can immediately select a different document that better matches what you need.

Pay how you prefer, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card or EFT and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Frequently asked questions