Histograms.

Slides:



Advertisements
Similar presentations
Histogram Edexcel S1 Mathematics Histogram Used to represent continuous grouped data Does not have any gaps between bars Areas represent frequency.
Advertisements

Topic: Compound Areas Learning objectives: Calculate the area of shapes made from rectangles Identify the necessary information to simplify a problem.
Project Maths - Teaching and Learning Relative Frequency % Bar Chart to Relative Frequency Bar Chart What is the median height.
Histogram Part 1: In the Camera Instructor: David King.
Histograms Objectives:
Creating a Histogram using the Histogram Function.
Histograms © Christine Crisp “Teach A Level Maths” Statistics 1.
Starter: Complete the table and fill in the missing values Stick it in your books.
8cm 5cm Area = 8 x 5 = 40cm 2 A parallelogram can be split up into a rectangle and 2 triangles – each with the same area. 10cm 5cm.
Unequal Class Intervals
REPRESENTATION OF DATA.
Chapter 37 Presentation of Data 2. Learning Objectives Read from a time-series graph Read from a time-series graph Draw a time-series graph Draw a time-series.
Representation of data ----histogram Alpha. Part One : Class boundaries.
Statistical Inference for Managers Lecture-2 By Imran Khan.
Maths revision guide.
Topic: Number LO: Revision - Histograms. PREPARE FOR LEARNING AGREE LEARNING OBJECTIVES Starter Imagine you wanted to draw a Bar Chart to show the following.
Histograms. Grouped frequency distribution Shows how many values of each variable lie in a class. Some information is lost. When presenting this information.
Histograms Objectives: A Grade Interpret a histogram with unequal class intervals Prior knowledge: Draw a Histogram diagram.
HISTOGRAMS Representing Data OCR Module 9. Why use a Histogram When there is a lot of data When data is Continuous a mass, height, volume, time etc Presented.
Starter Draw a Histogram to show the following information on time taken to do a crossword. Remember; -You need to work out ‘Frequency Density’ (Frequency.
Starter Use the frequency diagram to find: Mode Median Range
Histograms, Frequency Polygons, and Ogives
Task on Entry The number of siblings of students in a class is shown in the frequency table below. Draw a bar chart to represent the data. Number of SiblingsFrequency.
Histograms Population data: Lesson 7. Comparing areas instead of heights The bar chart shows the frequencies of the groups of birth rates for Africa.
Histograms All you’ll ever need to know about histograms…
GCSE: Histograms Dr J Frost
DATA ABOUT US DAY 5 Histograms. Differences between a Bar graph and a Histogram Histograms are a great way to show results of continuous data, such as:continuous.
Histograms with unequal class widths
GCSE: Histograms Dr J Frost
WALT: Measure and calculate the perimeter of shapes.
Cumulative Frequency Diagrams
Properties of the Normal Distribution
Box Plots EQ: How do you analyze box plots?
Frequency tables for Continuous Data
Histograms 22 August, 2018 A histogram is used instead of a bar chart when the bars have unequal width. This helps to give the graph a more realistic.
All you’ll ever need to know about histograms…
Starter Questions Convert the following to minutes :-
X AND R CHART EXAMPLE IN-CLASS EXERCISE
Interpreting Histograms
Histograms.
Plotting Cubic Graphs.
Using a histogram to estimate the median
Using a histogram to estimate the median
Areas of Flags 2.
S1: Chapter 4 Representation of Data
Representing Data OCR Module 9
Area of a Composite Calculate the area of this shape Total Area =
Histograms.
Representation of Data
Inequalities.
Inequality Graphs.
Cumulative Frequency.
Interpreting Histograms
Histograms: Unequal class Intervals
Electricity Current – in series.
Histograms © T Madas.
Cumulative Frequency.
Starter Questions Calculate the area of the following shapes :- a. 4m
Pythagoras' Theorem.
Histograms Sunday, 07 April 2019.
Histograms Example The table shows the weights of employees in a factory. Draw a histogram to represent these results. Weight (kg) Frequency 40 – 70 3.
Inequalities.
True or False? Sales are rising rapidly!
Interpreting Histograms
Histograms.
Area of a triangle Sunday, 16 June 2019.
Calculate the missing information below.
Area of a triangle Sunday, 21 July 2019.
8.) cumulative frequency table
Interpreting Histograms LO: To be able to interpret histograms including finding averages.
Presentation transcript:

Histograms

Starter In the back of your book, draw a Bar Chart to show the following information; Height (cm) Frequency 100 < x ≤ 120 20 120 < x ≤ 140 25 140 < x ≤ 150 30 150 < x ≤ 160 160 < x ≤ 200

Starter Frequency 25 20 15 10 5 100 120 140 160 180 200 Height (cm) 100 < x ≤ 120 20 120 < x ≤ 140 25 140 < x ≤ 150 30 150 < x ≤ 160 160 < x ≤ 200 25 20 15 10 5 100 120 140 160 180 200 Height (cm)

Starter Problems 1) The data is continuous so there should be no gaps 2) 150 – 160 has the same height as 120 – 140, even though it represents a smaller range A Histogram will correct both of these problems! Frequency 25 20 15 10 5 100 120 140 160 180 200 Height (cm)

Histograms Height (cm) Frequency Frequency Density To take into account the size of the group, we calculate ‘Frequency Density’ 100 < x ≤ 120 20 1 Frequency Density Frequency = 120 < x ≤ 140 25 1.25 Classwidth Frequency Density 20 25 20 25 30 = 140 < x ≤ 150 30 3 20 10 40 20 10 = = = = = 0.5 2.5 1 3 1.25 150 < x ≤ 160 25 2.5 160 < x ≤ 200 20 0.5

Histograms Height (cm) Frequency Frequency Density 100 < x ≤ 120 20 25 1.25 140 < x ≤ 150 30 3 150 < x ≤ 160 2.5 160 < x ≤ 200 0.5 3 Frequency Density 2 1 100 110 120 130 140 150 160 170 180 190 200 Height (cm)

Histograms With a Histogram, area represents Frequency, not the height 100 140 130 120 150 160 180 170 110 200 190 1 2 3 Frequency Density Height (cm) With a Histogram, area represents Frequency, not the height eg) The fifth group is a rectangle measuring 40 by 0.5 40 x 0.5 = 20 so there were 20 people in the group eg) The first group is a rectangle measuring 20 by 1 20 x 1 = 20 so there were 20 people in the group

Histograms Speed (mph) Frequency Frequency Density To take into account the size of the group, we calculate ‘Frequency Density’ 0 < x ≤ 40 10 0.25 40 < x ≤ 50 15 1.5 Frequency Density Frequency = Classwidth 50 < x ≤ 60 18 1.8 Frequency Density 35 20 15 20 10 18 = 5 10 10 10 5 40 60 < x ≤ 65 20 4 = = = = = = 0.25 1.5 2 4 1.8 7 65 < x ≤ 70 35 7 70 < x ≤ 80 20 2

Histograms 10 8 Frequency Density 6 4 2 10 20 30 40 50 60 70 80 Speed (mph) Frequency Frequency Density 0 < x ≤ 40 10 0.25 40 < x ≤ 50 15 1.5 50 < x ≤ 60 18 1.8 60 < x ≤ 65 20 4 65 < x ≤ 70 35 7 70 < x ≤ 80 2 10 8 Frequency Density 6 4 2 10 20 30 40 50 60 70 80 Speed (mph)

Histograms Remember that Area represents Frequency! 10 8 Frequency Density 6 4 2 10 20 30 40 50 60 70 80 Speed (mph) Remember that Area represents Frequency! Group 5 is a 5 by 7 rectangle 5 x 7 = 35 So 35 people in the group Group 1 is a 40 by 0.25 rectangle 40 x 0.25 = 10 So 10 people in the group

Plenary Frequency Density 33g 0.5 2.2 5.3 103g 0.5 (4)

Plenary 6 Frequency Density 5 4 3 2 1 Egg Weight (g)

Summary We have learnt how to plot Histograms of sets of data We have seen how they are different to Bar Charts We have learnt what is meant by ‘Frequency Density’ We have shown that on a Histogram, area represents Frequency, not height!