'Symmetric distribution' diaporamas de présentation

Chapter 4: Summarizing & Exploring Data (Descriptive Statistics)

Chapter 4: Summarizing & Exploring Data (Descriptive Statistics). Graphics! Graphics! Graphics! (and some numbers). Slides prepared by Elizabeth Newton (MIT) with some slides by Jacqueline Telford (Johns Hopkins University) and Roy Welsch (MIT). Graphical Excellence.

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Section 3

Section 3. Probit and Logit Models. Dichotomous Data. Suppose data is discrete but there are only 2 outcomes Examples Graduate high school or not Patient dies or not Working or not Smoker or not In data, y i =1 if yes, y i =0 if no. How to model the data generating process?.

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Splash Screen

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Splash Screen

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Topic-3

Topic-3. Describing Data: Measures of Central Tendency. Average: A Measure of Central Tendency. Average : A single numerical characteristic that represents a specific feature of a set of data - the center of the values.

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Dataquest http://data1.cde.ca.gov/dataquest/

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STA 291 Spring 2010

STA 291 Spring 2010. Lecture 4 Dustin Lueker. Population Distribution. The population distribution for a continuous variable is usually represented by a smooth curve Like a histogram that gets finer and finer

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2.3 Measures of Central Tendency

2.3 Measures of Central Tendency. Mean , median, and mode Weighted mean of a data set and the mean of a frequency distribution Shape of a distribution as symmetric, uniform, or skewed. Mean. The mean of a data set is the sum of the data entries divided by the number of entries.

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Chapter 2

Chapter 2. Describing distributions with numbers. Chapter Outline. 1. Measuring center: the mean 2. Measuring center: the median 3. Comparing the mean and the median 4. Measuring spread: the quartiles 5. The five-number summary and boxplots 6. Measuring spread: the standard deviation

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Measuring Center

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Sample Mean-

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Statistics and Probability 13.2 Measures of Center and Spread

Essential Question: What are the different graphical displays of data?. Statistics and Probability 13.2 Measures of Center and Spread. 13.2 Measures of Center and Spread. Mean ? Average Example 1: Mean Number of Accidents

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Chapter 12, Part 2

Chapter 12, Part 2. STA 291 Summer I 2011. Mean and Standard Deviation. The five-number summary is not the most common way to describe a distribution numerically. The most common way is to use the mean to measure center and the standard deviation to measure spread. Mean.

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Survey

Warm-Up 5/08-09 . Determine whether each situation calls for a survey, an experiment, or an observational study. Explain your reasoning. A gaming company plans to test whether a new controller is preferable to the old one.

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Distributions: The nature or shape of the data within its range.

Distributions: The nature or shape of the data within its range. E ssentials: Distribution Shapes ( Lots of them , but we will focus on three main types.). Be able to explain what constitutes a distribution. Be able to identify Left, Right and Normal distributions (and a Uniform distribution).

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P(-1.96 < z < 1.96) = .95

P(-1.96 < z < 1.96) = .95. Shape of t Distributions for n = 3 and n = 12. Degrees of Freedom ( dof ). Example : If 10 students take a quiz with a mean of 80, we can freely assign values to the first 9 students, but the 10 th student will have a determined score.

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