'Numerical summaries' presentation slideshows

Chapter 4

Chapter 4. Displaying and Summarizing Quantitative Data . Objectives. Histogram Stem-and-leaf plot Dotplot Shape Center Spread Outliers Mean Median. Range Interquartile range (IQR) Percentile 5-Number summary Resistant Variance Standard Deviation.

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III. Model Building

III. Model Building. Model building: writing a model that will provide a good fit to a set of data & that will give good estimates of the mean value of y and good predictions of y for given values of the explanatory variables.

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Chapter 6 Probability Distributions

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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 - Exploring Data AP Statistics Amanda Carter Borrowed from Brian Hamilton & Jason Molesky

Chapter 1 - Exploring Data AP Statistics Amanda Carter Borrowed from Brian Hamilton & Jason Molesky. Chapter 1 Section 1 Displaying Distributions with Graphs. HW: 1.1(a, b), 1.2, 1.3, 1.4, 1. 5, 1.6 1.8, 1.9, 1.10, 1.11 1.13, 1.14, 1.16. Exploratory Data Analysis.

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Stor 155, Section 2, Last Time

Stor 155, Section 2, Last Time. Distributions (how are data “spread out”?) Visual Display: Histograms Binwidth is critical Time Plots = Time Series Course Organization & Website http://stat-or.unc.edu/webspace/postscript/marron/Teaching/stor155-2007/Stor155-07Home.html.

522 views • 42 slides

Math Alliance Project 4 th Stat Session

Math Alliance Project 4 th Stat Session. Analyzing Quantitative Data. Review. GAISE Statistical problem solving steps: 1. formulate a statistical question 2. design and implement a plan to collect data analyze the data interpret the results in the context of the original question.

454 views • 35 slides

Stat 226

Stat 226. Note Set 1 James D. Abbey. Statistics?. The age old question of all courses: What is ______? For our purposes, we need to know what statistics does for us. Perhaps we will have an answer by the end of the course!

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Lecture 2

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Excursions in Modern Mathematics Sixth Edition

Excursions in Modern Mathematics Sixth Edition. Peter Tannenbaum. Chapter 14 Descriptive Statistics. Graphing and Summarizing Data. Descriptive Statistics Outline/learning Objectives. To interpret and produce an effective graphical summary of a data set.

474 views • 31 slides

Ch 2 The Normal Distribution

Ch 2 The Normal Distribution. 2.1 Density Curves and the Normal Distribution 2.2 Standard Normal Calculations. We have a clear strategy for exploring data on a single quantitative variable Plot Data, usually Histogram or Stemplot Calculate numerical summaries Describe the CUSS New step:

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Lesson 3 Exploring Data with Graphs and Numerical Summaries

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Exploring Data

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Data collection for demographic & vital statistics

Data collection for demographic & vital statistics. (Session 01). Module Objectives. At the end of this module, you will be able to Explain basic concepts of routine demographic and epidemiological data collection procedures

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Chapt. 6 The Standard Deviation and the Normal Model

Chapt. 6 The Standard Deviation and the Normal Model. Standardizing It makes possible to compare values that are measured on different scales with different units or for different populations Standardized Values or z-scores

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Snacks

Snacks. Nathan G aines Robert White. What we is studying. The type of snacks the school would like to see in machines. The Questions. What snacks would you like to see in snack machines in the school?. Type of snacks. Butterfingers Popcorn Reese Cups Hot Fries Plain Chips

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