Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.

Slides:



Advertisements
Similar presentations
Representing and Analyzing Data 3,9,5,2,7,9,6,4,10,1,9, First, before finding the mode, median, range, we should_______________ What is the mode? ______.
Advertisements

Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 2 Exploring Data with Graphs and Numerical Summaries Section 2.2 Graphical Summaries.
Further Maths Hello 2014 Univariate Data. What is data? Data is another word for information. By studying data, we are able to display the information.
12 FURTHER MATHEMATICS Organising and Displaying Data.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Types of Data Displays Based on the 2008 AZ State Mathematics Standard.
Is it what it is. Depending on the data type, we can use different types of display. When dealing with categorical (nominal) data we often use a.
CHAPTER 1: Picturing Distributions with Graphs
IB Math Studies – Topic 6 Statistics.
IB Math Studies – Topic 6 Daniela and Megan. IB Course Guide Description.
Unit 4 Statistics 1-variable. Intro Problem A farmer is investigating the effect of a new organic fertilizer on his crops of peas. He has divided a small.
Chapter 1 Descriptive Analysis. Statistics – Making sense out of data. Gives verifiable evidence to support the answer to a question. 4 Major Parts 1.Collecting.
Organizing Data. Displaying data in a chart is a good way of organizing your data, however GRAPHS are invaluable when it comes to organizing your data.
CHAPTER 2 Frequency Distributions and Graphs. 2-1Introduction 2-2Organizing Data 2-3Histograms, Frequency Polygons, and Ogives 2-4Other Types of Graphs.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Smith/Davis (c) 2005 Prentice Hall Chapter Four Basic Statistical Concepts, Frequency Tables, Graphs, Frequency Distributions, and Measures of Central.
Univariate Data Chapters 1-6. UNIVARIATE DATA Categorical Data Percentages Frequency Distribution, Contingency Table, Relative Frequency Bar Charts (Always.
VCE Further Maths Chapter Two-Bivariate Data \\Servernas\Year 12\Staff Year 12\LI Further Maths.
Further Maths Univariate Data. Univariate meaning: One variable. One quantity that changes. For example, number of cars sold by a car salesman Univariate.
1 Chapter 3 Looking at Data: Distributions Introduction 3.1 Displaying Distributions with Graphs Chapter Three Looking At Data: Distributions.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Lesson 1 – 1a from Displaying Distribution with Graphs.
Statistics Chapter 1: Exploring Data. 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic.
Collecting Data Name Number of Siblings Preferred Football Team Star Sign Hand Span.
BPS - 5th Ed. Chapter 11 Picturing Distributions with Graphs.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Essential Statistics Chapter 11 Picturing Distributions with Graphs.
Chapter 3 – Graphical Displays of Univariate Data Math 22 Introductory Statistics.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Math 145 September 11, Recap  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
CHAPTER 1 Picturing Distributions with Graphs BPS - 5TH ED. CHAPTER 1 1.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
MATH 2311 Section 1.5. Graphs and Describing Distributions Lets start with an example: Height measurements for a group of people were taken. The results.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Bell Ringer You will need a new bell ringer sheet – write your answers in the Monday box. 3. Airport administrators take a sample of airline baggage and.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
Descriptive Statistics  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals or things. 
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
DATA ABOUT US DAY 4 Line Plots and Bar Graphs continued.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
ALL ABOUT THAT DATA UNIT 6 DATA. LAST PAGE OF BOOK: MEAN MEDIAN MODE RANGE FOLDABLE Mean.
StatisticsStatistics Did you hear about the statistician who put her head in the oven and her feet in the refrigerator? She said, "On average, I feel just.
Math 145 June 19, Outline 1. Recap 2. Sampling Designs 3. Graphical methods.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and.
ALL ABOUT THAT DATA UNIT 6 DATA. LAST PAGE OF BOOK: MEAN MEDIAN MODE RANGE FOLDABLE Mean.
Types of variables Discrete VS Continuous Discrete Continuous
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese.
Chapter 4 Review December 19, 2011.
Looking at data Visualization tools.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese.
Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese.
CHAPTER 1: Picturing Distributions with Graphs
Happy Monday! Please place your vocab sheets in the front bin.
The facts or numbers that describe the results of an experiment.
Descriptive Statistics
The facts or numbers that describe the results of an experiment.
Organizing, Displaying and Interpreting Data
Displaying Distributions with Graphs
Math 145 January 24, 2007.
Math 341 January 24, 2007.
Presentation transcript:

Material Taken From: Mathematics for the international student Mathematical Studies SL Mal Coad, Glen Whiffen, John Owen, Robert Haese, Sandra Haese and Mark Bruce Haese and Haese Publications, 2004

BrainPop Graphs

Types of Data Categorical Data – Describes a particular quality or characteristic. It can be divided into categories. – i.e. color of eyes or types of ice cream Quantitative Data – Contains a numerical value. The information collected is termed numerical data. – Discrete – Takes exact number values and is often the result of counting. i.e. number of TVs or number of houses on a street – Continuous – Takes numerical values within a certain range and is often a result of measuring. i.e. the height of seniors or the weight of freshman Section 5A – Describing Data

Classify these as categorical, quantitative discrete or quantitative continuous: a)The number of heads obtained when 3 coins are tossed. b)The brand of toothpaste used by the students in our IB Math Studies class. c)The heights of a group of 15 year old teenagers.

Organizing Categorical Data Tally and Frequency Table Section 5B – Presenting and Interpreting Data

Displaying Categorical Data: Vertical Column Graph

Displaying Categorical Data: Horizontal Bar Chart

Displaying Categorical Data: Pie Chart

Displaying Categorical Data: Segment Bar Chart

Discrete Organizing Discrete Quantitative Data Tally and Frequency Table

Discrete Displaying Discrete Quantitative Data: Dot plot

Discrete Displaying Discrete Quantitative Data: Stemplot

Discrete Displaying Discrete Quantitative Data: Column Graph

On a Piece of Paper: – Make a Tally and Frequency Table for the Pea Problem With Fertilizer data (Page 113). – Once completed, compare your results with classmates.

Open Autograph: - Use the data obtained in your Tally and Frequency table for peas with fertilizer to create a Dot Plot and Column Graph.

distribution By placing a curve over a column graph or dot plot you can describe the distribution of a data set.

Symmetric Distribution

Positively Skewed Distribution

Negatively Skewed Distribution

Outliers Data values that are either much larger or much smaller than the general body of data. Outliers appear separated from the body of data on a frequency graph.

24 families were surveyed to find the number of people in the family. The results are: 5, 9, 4, 4, 4, 5, 3, 4, 6, 8, 8, 5, 7, 6, 6, 8, 6, 9, 10, 7, 3, 5, 6, 6 a)Is this data discrete or continuous? b)Construct a frequency table for the data. c)Display the data using a column graph. d)Describe the shape of the distribution. Are there any outliers? e)What percentage of families have 5 or fewer people in them? Problem 1

Homework Exercise 5A, pg 111 – #1 Exercise 5B, pg 116 – #2, 4, 5