1. 26134 Business Statistics Autumn 2017
Tutorial 2: Descriptive Statistics, Data Types and Charting B MathFin (Hons) M Stat (UNSW) PhD (UTS) mahritaharahap.wordpress.com/ teaching-areas
Tell them about my background
This is a friendly Q&A session to have with students. Establish your expectations of them for each class and provide your contact details.
Discuss issues of punctuality, openness, talking, things to do before coming to class to get the most out of the activities
business.uts.edu.au

2. Student Resources
UPASS - is a voluntary “study session” where you will be studying the subject with other students in a group. It is led by a student who has previously achieved a distinction or high distinction in that subject, and who has a good WAM. You can sign up for U:PASS sessions in My Student Admin Note that sign up is not open until week 1, as it’s voluntary and only students who want to go should sign up To Sign Up to these groups go to this website: helps-booking.uts.edu.au
Maths Study CB Free drop-in one on one consultation tutoring on math/stats related questions 11am to 5pm on weekdays
Online resources such as youtube or
Discussion Board on UTS Online

3. In statistics we usually want to statistically analyse a population but collecting data for the whole population is usually impractical, expensive and unavailable. That is why we collect samples from the population (sampling) and make conclusions about the population parameters using the statistics of the sample (inference) with some level of accuracy (confidence level).
A population is a collection of all possible individuals, objects, or measurements of interest. A sample is a subset of the population of interest.

4. Activity 1: Scales of Measurement

5. Data Classification Summary
L1: Introduction
Data Classification Summary
Time-Series
Cross-Sectional
Data Timing
Data Type
Qualitative
/ Categorical
Quantitative /
Numerical
Data Measurement Scales
Nominal
Ordinal
Interval
Ratio

6. Four Levels of Measurement of data
ORDINAL can be arranged in order
NOMINAL cannot be arranged in any particular order
RATIO Zero is not arbitrary and means none (e.g zero cars sold each year means no cars sold that year).
INTERVAL Zero is arbitrary (e.g zero temp does not mean there is no temperature).
QUALITATIVE/
CATEGORICAL can be grouped
QUANTITATIVE/
NUMERICAL measure
DATA
To calculate the sample and population measures we have to collect data.
Qualitative data-characteristic/attribute such as eye color--count
Quantitative data-measure

7. Activity 2: Cumulative Frequency

9. Options in Summarising Qualitative Data
L1: Introduction
Options in Summarising Qualitative Data
Tabular Methods
Divide by total
*100
Frequency Distribution
Relative Frequency Distribution
Percentage Frequency Distribution
Graphical Methods
Pie Chart
Bar Chart
Exact volume knowledge
…for Relative Comparisons

10. Activity 3: Tabulating Your Data

11. Activity 4: Graphing Your Data

12. Presenting Data Graphically
Categorical Data
Numerical Data
Bar Charts to depict frequencies
Pie Charts to depict proportions
Histogram one numerical variable
Scatterplots relationship between two numerical variables

13. Activity 5: Scatterplots

14. Activity 6: Scatterplots
Complete Q3.11 (p.73) and Q3.28 (p.89) of the text.

15. SEE YOU ALL NEXT WEEK!