Basics of histograms and frequency tables

Slides:



Advertisements
Similar presentations
Project Maths - Teaching and Learning Relative Frequency % Bar Chart to Relative Frequency Bar Chart What is the median height.
Advertisements

Creating a Histogram using the Histogram Function.
Chapter 1 Data Presentation Statistics and Data Measurement Levels Summarizing Data Symmetry and Skewness.
A frequency table is an organized count of items or values. In its simplest form a frequency table shows how frequently each particular value occurs in.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 2-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
LSP 121 Week 2 Intro to Statistics and SPSS/PASW.
Ch. 2: The Art of Presenting Data Data in raw form are usually not easy to use for decision making. Some type of organization is needed Table and Graph.
Chapter 2 Graphs, Charts, and Tables – Describing Your Data
Histograms & Summary Data.  Summarizing large of amounts of data in two ways: Histograms: graphs give a pictorial representation of the data Numerical.
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.
Intro to Statistics and SPSS. Mean (average) Median – the middle score (even number of scores or odd number of scores) Percent Rank (percentile) – calculates.
Objective: to make and interpret frequency tables and histograms.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
June 21, Objectives  Enable the Data Analysis Add-In  Quickly calculate descriptive statistics using the Data Analysis Add-In  Create a histogram.
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.
1 David Kilgour Presenting Data in Tables and Charts.
AP Statistics. Chapter 1 Think – Where are you going, and why? Show – Calculate and display. Tell – What have you learned? Without this step, you’re never.
Statistics and Organization of Data Statistics: The gathering, organizing, analyzing, and presentation of numerical information Variable: Any particular.
Frequency Tables and Histograms
Graphing skills.
AP Biology: Standard Deviation and Standard Error of the Mean
Describing, Exploring and Comparing Data
AP CSP: Cleaning Data & Creating Summary Tables
Find the favourite fruits of some children and make a pictogram.
Charts & Graphs CTEC V
GCSE: Histograms Dr J Frost
MAT 135 Introductory Statistics and Data Analysis Adjunct Instructor
Exploring Computer Science Lesson 5-9
Main Idea and New Vocabulary Example 1: Construct a Histogram
Ch. 4 – Displaying Quantitative Data (Day 1)
CHAPTER 1 Exploring Data
All you’ll ever need to know about histograms…
Chapters 1 and 2 What Is (Are?) Statistics?
Chapter 2 Describing Data: Graphs and Tables
Relative Frequency 11/13/13.
how often something occurs
Advantages and disadvantages of types of graphs
Advantages and disadvantages of types of graphs
Warm up How do outliers effect the mean, median, mode, and range in a set of data? Based on your answer to number one, which do you think would be.
Data Analysis – Charts & Graphs
The facts or numbers that describe the results of an experiment.
AP Biology: Standard Deviation and Standard Error of the Mean
8.3 Frequency Tables and Histograms
What is the difference between quantitative data and categorical data?
Sexual Activity and the Lifespan of Male Fruitflies
Chapter 1: Exploring Data
©G Dear 2010 – Not to be sold/Free to use
Organizing and Visualizing Data
Categorical Data National Opinion Research Center’s General Social Survey In 2006 a sample of 1928 adults in the U.S. were asked the question “When is.
CHAPTER 1 Exploring Data
Histograms © T Madas.
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Data Management & Graphing
The facts or numbers that describe the results of an experiment.
Single Variable Statistics
Displaying Quantitative Data
Histograms.
Displaying Data – Charts & Graphs
Quantitative Data Who? Cans of cola. What? Weight (g) of contents.
Chapter 3.3 Displaying Data.
Chapter One Univariate Data Student Notes
Histograms.
Chapter 1: Exploring Data
Data Distribution - Histograms
Statistical Models or Quality Control Improvement
Organizing & Visualizing Data
Reading, Constructing, and Analyzing Graphs
Categorical Data By Farrokh Alemi, Ph.D.
Presentation transcript:

Basics of histograms and frequency tables

Overview What are frequency tables and histograms? Discrete data Continuous data Why histograms are different from bar charts

Frequency tables versus histograms A table with counts of the number times each unique value appears in the dataset. Histogram: A graphical display of a frequency table, usually using bars to present counts. Note: Frequency tables are sometimes called histograms.

An example of a frequency table Frequency table: A table with counts of the number times each unique value appears in the dataset. FREQUENCY TABLE EXAMPLE: A researcher asks 100 people a survey question and wants to analyze the response. The question has 5 possible answers: a, b, c, d, and e. Data: a, b, a, a, a, c, d, e, … Value Count a 40 b 20 c 15 d 30 e 5 Notes: The values don’t have to be numerical. Here the possible values are discrete, that is, they are easy to enumerate or list. The total of the Count column is the number of data values.

Histogram for survey responses Histogram: A graphical display of a frequency table, usually using bars to present counts. FREQUENCY TABLE Value Count a 40 b 20 c 15 d 30 e 5 Note: Don’t use a bar chart directly on the data. Compute the counts first!

Continuous data Continuous data: Takes on any value within a range. EXAMPLE: A researcher measures the height in cm of 100 corn plants in a particular field a certain number of days after planting in order to predict crop yields. Input: 3.01, 5.2, 3.02, 1.101, … Issues: There are many more values… What are the unique values? Is 3.02 really different from 3.01? Solution: Bin the data

How to “bin” continuous data Binning the data means dividing up the data range into subintervals and counting how many data values fall in each subinterval. FREQUENCY TABLE Range Bin Count [0,1] 1 30 [1,2] 2 20 [2,3] 3 15 [3,4] 4 [4,5] 5 [5,6] 6 7 [6,7] [7,8] 8 Input: 3.01, 5.2, 3.02, 1.101, … 1 2 8 Bin: 3 4 5 6 7 Values: 8 1 2 3 5 6 7 4 Min: 0 Max: 8 Range: 8 – 0 = 8

Displaying the histogram Input: 3.01, 5.2, 3.02, 1.101, … FREQUENCY TABLE Range Bin Count [0,1] 1 30 [1,2] 2 20 [2,3] 3 15 [3,4] 4 [4,5] 5 [5,6] 6 7 [6,7] [7,8] 8

Histograms versus bar charts Input: 3.01, 5.2, 3.02, 1.101, … Histogram Bar chart