'Categorical data' diaporamas de présentation

Medical Statistics: Hypothesis Testing

Medical Statistics: Hypothesis Testing. Nimrod Lavi, MD Adhir Shroff, MD, MPH. Agenda. Types of variables Descriptive statistics What is a hypothesis Definition of a p-value Sample vs. universe Comparative statistics T-tests Chi-square. Agenda. Types of variables

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An Introduction to Data Mining

An Introduction to Data Mining. Prof. S. Sudarshan CSE Dept, IIT Bombay Most slides courtesy: Prof. Sunita Sarawagi School of IT, IIT Bombay. Why Data Mining. Credit ratings/targeted marketing :

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Economic Reasoning Using Statistics

Economic Reasoning Using Statistics. Econ 138 Dr. Adrienne Ohler. How you will learn. . Textbook: Stats : Data and Models 2 nd Ed ., by Richard D. DeVeaux , Paul E. Velleman , and David E. Bock Homework: MyStatLab brought to by www.coursecompass.com. The rest of this class.

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Beyond MDG Dashboards: Consideration of Joint Distribution in Measuring Poverty

Beyond MDG Dashboards: Consideration of Joint Distribution in Measuring Poverty Evidence and Measures of Progress in International Development RSS 2013 International Conference, Newcastle UK Suman Seth September 5, 2013. Outline.

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Below Average Above Average Above Average Average Above Average Average Above Average

Categorical Data. Guests staying at Marada Inn were asked to rate the quality of their accommodations as being excellent , above average , average , below average , or poor . The ratings provided by a sample of 20 guests are:. Example: Marada Inn. Above Average Above Average

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Psychology 302 Quantitative Methods

Psychology 302 Quantitative Methods. Review Quiz. 1. Which of the following frequency distributions if positively skewed?. A. A B C. B. C. 1. Which of the following frequency distributions if positively skewed?. A. A B C. B. C. 2. Which of the following is measurement data?.

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Ch2 Data Preprocessing part2

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AP Exam

AP Exam . Thursday, May 17, 2018 Report at 11:30 to Vince Meyer Learning Center. Exploring Data: Describing Patterns and Departures from Patterns. We started by describing univariate (that means one variable) data graphically and numerically. Graphically:. Dotplot. Stemplot.

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Final Stat Project Working Out and Gyms

Final Stat Project Working Out and Gyms. Tori DeCesare and Abby Cummings. Summary of topic. We were interested to see what gender and age groups were most likely to go to the gym to workout

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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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Section 4.3.1 2-Way Tables and Marginal Distributions

Section 4.3.1 2-Way Tables and Marginal Distributions. AP Statistics www.toddfadoir.com/apstats. What about Categorical Data?. Whenever we have looked at data so far, it has quantitative vs. quantitative What tools do we use if we are faced with categorical data?. 2-Way Tables.

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TOTAL QUALITY MANAGEMENT

TOTAL QUALITY MANAGEMENT. TOOLS OF TQM (2) Abdulla Jassim Abdulla. The Seven Tools oF TQM. Flowcharts Cause and effect Diagram (Ishikawa) Check sheets Pareto Charts Histograms Run Charts and Control charts Scatterplots and correlation Analysis. Pareto Charts.

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Analyzing categorical data

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EOCT REVIEW DAY 2

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Sample Statistics are used to estimate Population Parameters

Sample Statistics are used to estimate Population Parameters. We will use two different statistics: For categorical data: the sample proportion, p For numeric data: the sample mean . Sample Statistics. Have sampling distributions

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Statistical Tools for Health Economics

Statistical Tools for Health Economics. Hypothesis Testing Difference of Means Regression Analysis Multiple Regression Analysis Statistical Inference in the Science and Social Sciences. Hypothesis Testing.

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The Chi-squared Test

The Chi-squared Test. A statistical test used to find out if the difference between observed categorical data and the expected data is significant. In peas the gene for seed colour (G = green g = yellow) and the gene for seed texture (R = round r = wrinkled)

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Introduction to Dot Plots

Introduction to Dot Plots. There are two types of data we will be looking at. Categorical Data - places someone or something into several groups or categories. For example: favorite color, job titles, names of students, etc.

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Warm up

Preliminary Activity. Notes. For Fun. Warm up. Activity. Summary Statistics. Back. Back. 1. Nato borrows $5500 to buy a car. The simple interest rate is 11.5% and he takes the loan over 4 years. Find: a) The interest on the loan b) the total to be repaid c) Nato's monthly repayment

177 views • 6 slides