'Class intervals' presentation slideshows

The Examination of Residuals

The Examination of Residuals. where is an observation and is the corresponding fitted value obtained by use of the fitted model. The residuals are defined as the n differences :.

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Presentation of Data

Presentation of Data. Prepared by: Ms. Bernabeth Jo T. Tendero. Textual Presentation. Presented in paragraph or in sentences Includes : - enumeration of important characteristics - emphasizing the most significant features - highlighting the most striking attributes of the set of data

1.66k views • 67 slides

Week 4 ETEC 668 Quantitative Research in Educational Technology

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Descriptive Statistics

Descriptive Statistics. Textual and Graphical Representations. In Class Survey. Call out your height in inches Call out your undergraduate major I will write on board. Descriptive Statistics. Descriptive Statistics is nothing more than a fancy term for numbers that summarize a group of data

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STAT131 Week7 L1a Exponential Distribution

STAT131 Week7 L1a Exponential Distribution. Anne Porter alp@uow.edu.au. Lecture Outline. Review Poisson Introduction to the Exponential Context/assumptions Probability Centre Spread Calibration of the model Goodness of fit. Poisson. Video Clip : Blowhole.

661 views • 43 slides

ASSOCIATION BETWEEN VARIABLES: SCATTERGRAMS

ASSOCIATION BETWEEN VARIABLES: SCATTERGRAMS. Topic #11. Like Father, Like Son. Though it is not especially relevant to political science, suppose we want to research the following bivariate hypothesis that involves two interval and continuous variables .

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Development of a Valid Model of Input Data

Development of a Valid Model of Input Data. Collection of raw data Identify underlying statistical distribution Estimate parameters Test for goodness of fit. Identifying the Distribution. Histograms Notes: Histograms may infer a known pdf or pmf.

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Stick Tossing and Confidence Intervals

Stick Tossing and Confidence Intervals. David Sklar San Francisco State University dsklar@sfsu.edu. Bruce Cohen Lowell High School, SFUSD bic@cgl.ucsf.edu http://www.cgl.ucsf.edu/home/bic. Asilomar - December 2006. Ver. 0.5. Estimating a Probability. An Old Problem:

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Understanding and Interpreting Statistics in Assessments Clare Trott and Hilary Maddocks

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ORGANISING THE DATA

ORGANISING THE DATA. What is data ?. Data is a collection of facts , such as values or Measurements. It can be numbers, words , measurements, observations or even just description of things. why do we organize data?.

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Excel Histogram Tutorial

Excel Histogram Tutorial. Example 2-5 Histograms Capital Credit Union. Issue: Analyze credit card balances for Capital Credit Union customers using a frequency distribution and histogram. Objective:

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Chapter 2

Chapter 2. Organization and description of data. Box on Page 24 Describing a Data Set of Measurements. Types of data. Qualitative or categorical data Numerical or measurement data

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Chapter 3 Displaying Data Tables and Graphing

Chapter 3 Displaying Data Tables and Graphing. The Value of Charts. Visual learners will understand concepts and data more easily if they are portrayed graphically. There are many commonly used graphical techniques used in statistics.

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Inequalities

Inequalities. Recap. Inequalities are:. <. Less Than. Equal to or Less Than. >. Greater Than. Equal to or Greater Than. - 6 < x 4. 0. 0. 0. 0. -10. -10. -10. -10. 1. 1. 1. 1. 2. 2. 2. 2. 3. 3. 3. 3. 4. 4. 4. 4. 5. 5. 5. 5. 6. 6. 6. 6. 7. 7. 7. 7. 9.

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Review for Exam One

Review for Exam One. Level of Measurement Frequency Distributions Measures of Central Tendency Measures of Dispersion. Level of Measurement.

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Find Mean, Median, Modal Class from Grouped Data

Find Mean, Median, Modal Class from Grouped Data. Mean from a Frequency Table. Calculating the Mean : If there are large amounts of data, it is easier if it is displayed in a frequency table . Example 1.

5.15k views • 14 slides

Histograms

Histograms. By Ryan Beil and Chris Carlson. Definition and Explanation. A Histogram is a representation of a frequency distribution by means of rectangles whose widths represent class intervals and whose areas are proportional to the corresponding frequencies.

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Histograms

Histograms. Objectives:. A Grade Construct and interpret a histogram with unequal class intervals. Prior knowledge:. Draw a frequency diagram. Rearrange equations. Be able to calculate the area of a rectangle. Histograms. Summary of column graphs so far.

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From Cloud Top Temperature to Rainfall; Blending MSG and TRMM

From Cloud Top Temperature to Rainfall; Blending MSG and TRMM. Ben Maathuis Department of Water Resources ITC-Enschede The Netherlands. From temperature to rainfall (1).

254 views • 11 slides

Cumulative Frequency Graphs

Cumulative Frequency Graphs. Estimating the median and inter-quartile range. 56 72 79 80. x co-ordinates Remember these are the END POINTS of the class intervals. y co-ordinates. 56 72 79 80. 80 70 60 50 40 30 20 10 0. cumulative frequency.

243 views • 6 slides