# Unit 1 General Maths Hi, I’m Ms Mongan

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Unit 1 General Maths Hi, I’m Ms Mongan ms.mongan@gmail.com

Questionnaire Instructions:  Please answer the following questions in your book, on your own and without speaking.  I will explain why at the end  I will explain why at the end

Preliminary Question  Write down the time you begin this questionnaire. Eg. 1:36pm

Question 1  1. Starting with yourself, what are the names of the people sitting in your row (or at your table)?

Question 2  2. State your approximate height in metres.

Question 3  3. How many years old do you think your teacher is?

Question 4  4. Please rate your dislike of mathematics  A) Very weak  B) Weak  C) Moderate  D) Strong  E) Very strong

Question 5  5. Which town do you live in?

Question 6  6. Are you a morning person or a night person?

Question 7  7. Would you rate yourself as:  A) Above average intelligence  B) Average intelligence  C) Below average intelligence?

Question 8  8. How many siblings do you have?

Question 9  9. How long did it take you to complete this survey?

Types of Data collected 1. Names = Categorical, nominal 2. Height = Numerical, continuous 3. Age = Numerical, discrete 4. Dislike = Categorical, ordinal 5. Town = Categorical, nominal 6. Morning/Night= Categorical, nominal 7. Intelligence = Categorical, ordinal 8. Siblings = Numerical, discrete 9. Time = Numerical, continuous

Exercise 1A Categorical Data – Nominal or Ordinal? p5

Exercise 1A Numerical Data – Discrete or Continuous? p5

Frequency Distribution Table  OK, we’ve collected the data. How do we best represent it?

Frequency  Frequency: The number of times something occurs eg. A particular piece of data

This is a frequency distribution table The question asks us to put the info into a bar chart…. ??????? Picture it in your mind then draw a rough one. What kind of data is this?

Exercise 1A - Representing Categorical Data p6

Grouping Data  Let’s say you collect a whole heap of scores (n________ data)  It is sometimes convenient to put it into groups.  Can this be done with categorical data?

What do groups look like?  Groups (also known as classes) are chosen by you!  It is just a range of numbers  Try and form between 5 and 10 classes for your data  Eg. What percentage signifies an A+ at WSC? What about a C? UG?

Spot the differences! I mean, compare and contrast…

My favourite word for today: Polygon Another awesome word: Distribution

Normal Distribution- most common score in the centre. Symmetrical. Skewed Distribution – look at where it has been dragged Bimodal distribution – Bi = two mode = score than occurs the most

Summary Types of Data Representing Data

Types of Data  Categorical  Nominal  Ordinal  Numerical  Discrete  Continuous

How do you represent Categorical Data?  Bar chart  Eg.

How do you represent Numerical Data? (Grouped and ungrouped)  Histogram and Polygon  Eg.

Text Book 1B – Q1, 4, 8, 12