Histograms. Histograms have some similar characteristics as other graphical representations... Shape: Left skewed, right skewed, symmetric, unimodal,

Slides:

Advertisements

Similar presentations

Histograms Bins are the bars Counts are the heights Relative Frequency Histograms have percents on vertical axis.

Advertisements

Very simple to create with each dot representing a data value. Best for non continuous data but can be made for and quantitative data 2004 US Womens Soccer.

Analyzing Data (C2-5 BVD) C2-4: Categorical and Quantitative Data.

CHAPTER 1 Exploring Data

Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 2 Exploring Data with Graphs and Numerical Summaries Section 2.2 Graphical Summaries.

+ Chapter 1 Section 2 By Abby Chopoorian and Morgan Smith.

By the end of this lesson you will be able to explain/calculate the following: 1. Histogram 2. Frequency Polygons.

Histogram A frequency plot that shows the number of times a response or range of responses occurred in a data set.

Histogram A frequency plot that shows the number of times a response or range of responses occurred in a data set.

Objective To understand measures of central tendency and use them to analyze data.

 Multiple choice questions…grab handout!. Data Analysis: Displaying Quantitative Data.

REPRESENTATION OF DATA.

Slide 4- 1 CUSSing & BS-ing practice Center: This distribution of quiz scores appears to have two modes, one at around 55, and another at around 80. Shape:

Chapter 2:.  Come up to board and write the number of different types of social media YOU have used TODAY  If you are male, please use a blue marker.

1.1 Displaying Distributions with Graphs

Welcome to Math 6 Statistics: Use Graphs to Show Data Histograms.

Univariate Data Chapters 1-6. UNIVARIATE DATA Categorical Data Percentages Frequency Distribution, Contingency Table, Relative Frequency Bar Charts (Always.

Analyzing The Shape of Data Example’s 1.Describe the shape of the graphed data.Do you notice any gaps in the data? 15, 20, 25, 30, 35, 40, 45, 50, 55,

Section 1 Topic 31 Summarising metric data: Median, IQR, and boxplots.

Wednesday, May 13, 2015 Report at 11:30 to Prairieview.

Visual Displays for Quantitative Data

1)Construct a box and whisker plot for the data below that represents the goals in a soccer game. (USE APPROPRIATE SCALE) 7, 0, 2, 5, 4, 9, 5, 0 2)Calculate.

Displaying Quantitative Data Graphically and Describing It Numerically AP Statistics Chapters 4 & 5.

Chapter 4 Displaying Quantitative Data *histograms *stem-and-leaf plots *dotplot *shape, center, spread.

Essential Statistics Chapter 11 Picturing Distributions with Graphs.

Displaying Distributions with Graphs. the science of collecting, analyzing, and drawing conclusions from data.

Revision Analysing data. Measures of central tendency such as the mean and the median can be used to determine the location of the distribution of data.

Chapter 2:.  Come up to board and write the number of different types of social media YOU have used TODAY  If you are male, please use a blue marker.

Statistics Review of Visual Representation of Data.

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.

More Univariate Data Quantitative Graphs & Describing Distributions with Numbers.

Chapter 2:.  Come up to board and write the number of different types of social media YOU have used TODAY; write anywhere; no need to organize in any.

Chapter 11 Displaying Distributions with Graphs. Turning Quantitative Data Into Information u Shape of the data u Center of the data u Spread of the data.

Chapters 1, 2, & 3 Yellow Stickie Questions… …from 02/22/16.

Statistics Unit Test Review Chapters 11 & /11-2 Mean(average): the sum of the data divided by the number of pieces of data Median: the value appearing.

Chapter 2:.  Come up to board and write the number of different types of social media YOU have used TODAY; write anywhere; no need to organize in any.

Unit 1 - Graphs and Distributions. Statistics 4 the science of collecting, analyzing, and drawing conclusions from data.

Interpreting Categorical and Quantitative Data. Center, Shape, Spread, and unusual occurrences When describing graphs of data, we use central tendencies.

1.2 Displaying Quantitative Data with Graphs.  Each data value is shown as a dot above its location on the number line 1.Draw a horizontal axis (a number.

Introduction Data sets can be compared by examining the differences and similarities between measures of center and spread. The mean and median of a data.

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.

Describing Distributions

Describing Distributions with Graphs Section 1.1

Describing Distributions

Chapter 1: Exploring Data

SOCS: Box Plots & Stem Plots

Statistical Reasoning

Distributions and Graphical Representations

3.4 Histograms.

Displaying Distributions with Graphs

Displaying Quantitative Data

NUMERICAL DATA (QUANTITATIVE) CHAPTER 4.

The Shape and Spread of Data

CHAPTER 1 Exploring Data

Identifying key characteristics of a set of data

Basic Practice of Statistics - 3rd Edition

QUANTITATIVE DATA chapter 4 (NUMERICAL).

Basic Practice of Statistics - 3rd Edition

Describing Distributions

Methods of Acquiring Information

Adapted from Ms. Namad.

Histograms and Measures of Center vs. Spread

Honors Statistics Review Chapters 4 - 5

CHAPTER 1 Exploring Data

Shape, Center, Spread.

Describing Data Coordinate Algebra.

Lesson Plan Day 1 Lesson Plan Day 2 Lesson Plan Day 3

Math 341 January 24, 2007.

Biostatistics Lecture (2).

Presentation transcript:

Histograms

Histograms have some similar characteristics as other graphical representations... Shape: Left skewed, right skewed, symmetric, unimodal, bimodal, gaps ? Outlier(s): Are there value(s) that are far apart of all other data? Center: Where is most of the data? (usually use mean to describe center of histograms) Spread: Is the distribution bunched up or spread out? (usually standard deviation to describe spread in histograms)

Mean & Standard Deviation

Practice: Describe the below histogram using SOCS

(1) Do we know the original data? (2) How do we determine the width of the vertical bars?

Is this a histogram? Why or why not?

What can we say about this distribution?

How can we best describe this data set?

Describe this histogram and suggest how it could be better?

Key components & observations for histograms: Numerical data SOCS Labeled (context) Evenly scaled on axes All vertical bars same width

Comparing Box Plots & Histograms

Histogram vs. Box Plot

Discussion/Exit Card: Which graphical representation is better: the box plot or the histogram?