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Histograms Bins are the bars Counts are the heights Relative Frequency Histograms have percents on vertical axis
Stem-Leaf Plot Contain same information as a histogram but also preserve individual data valves.
Dot Plots Places a dot along an axis for each case in the data. Great for small data sets.
Time Plots Dots arranged in data order. Lines connect the dots.
Describing Histograms Center (mean or median) Unusual features (outliers and/or gaps) Shape (Normal? Skewed? Modes?) Spread (range, IQR or SD)
Approximately Normal Distribution
Histogram: Skewed to the right
Skewed to the Left
Skewed to the ?
Outlier with a gap
Univariate Data Chapters 1-6. UNIVARIATE DATA Categorical Data Percentages Frequency Distribution, Contingency Table, Relative Frequency Bar Charts (Always.
Visual Displays for Quantitative Data each response is a numerical value Dot plot…. Stemplot………………………. Histogram………………………………..
Chapter 4 Displaying Quantitative Data *histograms *stem-and-leaf plots *dotplot *shape, center, spread.
More Univariate Data Quantitative Graphs & Describing Distributions with Numbers.
A frequency plot that shows the number of times a response or range of responses occurred in a data set. HISTOGRAM.
Chapter 3: Displaying and Summarizing Quantitative Data Part 1 Pg
Histogram A frequency plot that shows the number of times a response or range of responses occurred in a data set.
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.
Displaying Quantitative Data Graphically and Describing It Numerically AP Statistics Chapters 4 & 5.
Created by Daniel Ho and Sachin Mehta Betters 2 nd period AP STATISTICS CHAPTER 4 REVIEW.
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.
ALL ABOUT THAT DATA UNIT 6 DATA. LAST PAGE OF BOOK: MEAN MEDIAN MODE RANGE FOLDABLE Mean.
Chapter 4: Displaying Quantitative Data Akshat Patel, Velocity Brown.
Histograms. Histograms have some similar characteristics as other graphical representations... Shape: Left skewed, right skewed, symmetric, unimodal,
Descriptive Statistics Summarizing, Simplifying Useful for comprehending data, and thus making meaningful interpretations, particularly in medium to.
Section 1.2 Displaying Quantitative Data with Graphs Mrs. Daniel AP Statistics.
CHAPTER 4 Displaying & Summarizing Quantitative Data.
Interpreting Categorical and Quantitative Data. Center, Shape, Spread, and unusual occurrences When describing graphs of data, we use central tendencies.
Module 8 Test Review. Find the following from the set of data: 6, 23, 8, 14, 21, 7, 16, 8 Five Number Summary: Answer: Min 6, Lower Quartile 7.5, Median.
Slide 4-1 Copyright © 2004 Pearson Education, Inc. Dealing With a Lot of Numbers… Summarizing the data will help us when we look at large sets of quantitative.
Copyright © 2014 Pearson Education, Inc. All rights reserved Chapter 2 Picturing Variation with Graphs.
Unit 4 Statistical Analysis Data Representations.
So What Do We Know? Variables can be classified as qualitative/categorical or quantitative. The context of the data we work with is very important. Always.
Objectives Chapter 4: Displaying Quantitative Data What are some ways in which we can effectively display quantitative data? What are some ways in which.
It’s an outliar!. Similar to a bar graph but uses data that is measured.
+ Chapter 1 Section 2 By Abby Chopoorian and Morgan Smith.
Unit 1 - Graphs and Distributions. Statistics 4 the science of collecting, analyzing, and drawing conclusions from data.
Analyzing Data (C2-5 BVD) C2-4: Categorical and Quantitative Data.
Chapter 4 Histograms Stem-and-Leaf Dot Plots Measures of Central Tendency Measures of Variation Measures of Position.
Chapter 4 Displaying Quantitative Data Describing One Quantitative Variable Distribution of variable –Summary of different values observed for the variable.
Stem and Leaf Display Stem and Leaf displays are an “in between” a table and a graph – They contain two columns: – The left column contains the first digit.
Displaying Distributions with Graphs. the science of collecting, analyzing, and drawing conclusions from data.
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.
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.
Bellwork 1. If a distribution is skewed to the right, which of the following is true? a) the mean must be less than the median b) the mean and median must.
1.1 EXPLORING STATISTICAL QUESTIONS Unit 1 Data Displays and Number Systems.
Chapter 4 Displaying Quantitative Data. Graphs for Quantitative Data.
Introduction to Summary Statistics. Statistics The collection, evaluation, and interpretation of data Statistical analysis of measurements can help verify.
Analyzing Data Week 1. Types of Graphs Histogram Must be Quantitative Data (measurements) Make “bins”, no overlaps, no gaps. Sort data into the bins.
Histograms & Stemplots for Quantitative Data. Describing Data using Summary Features of Quantitative Variables Center — Location in middle of all data.
Displaying Quantitative Data AP STATS NHS Mr. Unruh.
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 4 Displaying and Summarizing Quantitative Data.
Section 2.1 Visualizing Distributions: Shape, Center and Spread.
Describing Data Week 1 The W’s (Where do the Numbers come from?) Who: Who was measured? By Whom: Who did the measuring What: What was measured? Where:
5-Analyzing trends in categorical data Dot plots and frequency tables 1-Ways to represent data Data 4.
Displaying and Summarizing Quantitative Data Copyright © 2010, 2007, 2004 Pearson Education, Inc.
Copyright © 2009 Pearson Education, Inc. Chapter 4 Displaying and Summarizing Quantitative Data.
Histograms & Stemplots for Quantitative Data Describing Data using Summary Features of Quantitative Variables Center — Location in middle of all data.
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