26134 Business Statistics Autumn 2017 Tutorial 2: Descriptive Statistics, Data Types and Charting Mahrita.Harahap@uts.edu.au 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

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 https://onestopadmin.uts.edu.au/. 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 Center @ CB04.03.331 Free drop-in one on one consultation tutoring on math/stats related questions 11am to 5pm on weekdays Online resources such as youtube or www.khanacademy.org Discussion Board on UTS Online

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.

Activity 1: Scales of Measurement

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

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 http://youtu.be/LPHYPXBK_ks?t=5m20s

Activity 2: Cumulative Frequency

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

Activity 3: Tabulating Your Data

Activity 4: Graphing Your Data

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

Activity 5: Scatterplots

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

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