'Relative frequency histogram' presentation slideshows

Chapter 2

Chapter 2. Descriptive Statistics. Chapter Outline. 2.1 Frequency Distributions and Their Graphs 2.2 More Graphs and Displays 2.3 Measures of Central Tendency 2.4 Measures of Variation 2.5 Measures of Position. Section 2.1. Frequency Distributions and Their Graphs.

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Lecture Unit 2 Graphical and Numerical Summaries of Data

Lecture Unit 2 Graphical and Numerical Summaries of Data UNIT OBJECTIVES At the conclusion of this unit you should be able to: 1) Construct graphs that appropriately describe data 2) Calculate and interpret numerical summaries of a data set.

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Chapter 1 Section 1.1

Chapter 1 Section 1.1. Displaying Distributions with Graphs. Statistics. the science of collecting, analyzing, and drawing conclusions from data. Main Types of Statistics. Descriptive Inferential. Descriptive Statistics. the methods of organizing & summarizing data. Inferential Statistics.

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Last lecture summary

Last lecture summary. Probability. long-term chance that a certain outcome will occur from some random (stochastic) process how to get probabilities? classical approach (combinatorics) relative frequencies simulations

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Chapter 2

Chapter 2. Descriptive Statistics. Chapter Outline. 2.1 Frequency Distributions and Their Graphs 2.2 More Graphs and Displays 2.3 Measures of Central Tendency 2.4 Measures of Variation 2.5 Measures of Position. Section 2.1. Frequency Distributions and Their Graphs.

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Sect. 2-1 Frequency Distributions and Their graphs

Sect. 2-1 Frequency Distributions and Their graphs. Objective SWBAT construct a frequency distribution including limits ,boundaries , midpoints, relative frequencies, and cumulative frequencies

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Displaying & Summarizing Quantitative Data

Displaying & Summarizing Quantitative Data. Chapter 4. Objectives. Look at histograms, stem-and-leaf plots, and dotpots Summarize the spread and center of distribution Look at mean, median, range, and interquartile range Examine mean and standard deviation. Words of Advice.

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CHAPTER 4 Displaying and Summarizing Quantitative Data

CHAPTER 4 Displaying and Summarizing Quantitative Data. Slice up the entire span of values in piles called bins (or classes) Then count the number of values that fall in each bin The bins and the counts in each bin give the distribution of the quantitative variable. Histogram.

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Exploratory Data Analysis

Exploratory Data Analysis. Statistics 2126. Introduction. If you are going to find out anything about a data set you must first understand the data Basically getting a feel for you numbers Easier to find mistakes Easier to guess what actually happened Easier to find odd values.

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What is a frequency distribution?

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The Normal Probability Distribution

The Normal Probability Distribution. Some Basic Ideas. Review relative frequency histogram. Values of a variable, say test scores. 1/10 2/10 4/10 2/10 1/10. 60 70 80 90. In this example 10 people took a test. The height of each

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Section 2.2

Section 2.2. Graphical Displays of Data 2.2b(ii ) - Histogram. Example 2.12: Constructing a Histogram. Construct a histogram of the 3-D TV prices from the previous section. The frequency distribution of the data is restated here. Example 2.12: Constructing a Histogram (cont.). Solution.

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Histograms, Frequency Polygons, and Ogives

Histograms, Frequency Polygons, and Ogives. Section 2.3 . Represent data in frequency distributions graphically using histograms, frequency polygons, and ogives . . Objectives. To convey the data to the viewers in pictorial form

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Standard Normal Distribution

Standard Normal Distribution. The following frequency distribution represents the heights (in inches) of eighty randomly selected 5-year olds. Construct a relative frequency histogram Draw a normal density curve on relative frequency histogram. Construct a relative frequency histogram.

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T02-03 Histogram (Equal Classes)

T02-03 Histogram (Equal Classes).

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Stat 13, Tue 4/24/12. 1. Review list. 2. Examples of studies. 3. Summary of probability rules.

Stat 13, Tue 4/24/12. 1. Review list. 2. Examples of studies. 3. Summary of probability rules. 4. General probability strategy. 5. Probability examples. Hw3 is due Thur, 4/26, and Midterm 1 is Thur, 4/26.

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Get out the Assignment from Yesterday and have questions ready!

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Histograms

Histograms. Lesson 1.5. Definitions. Histogram: Frequency Histogram: Relative Frequency Histogram:. A bar graph that shows the frequency of data from the Heights of the bars. The bars ARE ALWAYS connected. Displays the number of values that fall into each interval.

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Displaying Quantitative Data

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