'Standard error' diaporamas de présentation

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data. William Greene Department of Economics Stern School of Business. Econometric Analysis of Panel Data. 19. Limited Dependent Variables And Models for Count Data. Application: Major Derogatory Reports. AmEx Credit Card Holders N = 1310 (of 13,777)

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Econometric Analysis of Panel Data

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1.28k views • 60 slides

Guide to the PISA Data Analysis Manual

Computation of Standard Errors for Multistage Samples. Guide to the PISA Data Analysis Manual. What is a Standard Error (SE). In PISA, as well as in IEA studies, results are based on a sample Published statistics are therefore estimates

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Estimating the Discount Rate

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Things that May Affect the Estimates from the American Community Survey Updated February 2013

Things that May Affect the Estimates from the American Community Survey Updated February 2013. Overview . Definition of sampling error Measures associated with sampling error How to use measures associated with sampling error Non-sampling error Population controls Summary. 2.

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Auditory & Visual Attention: New Developments in Assessment Using CPTs

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Inferential Statistics

Inferential Statistics. Descriptive statistics (mainly for samples) Our objective is to make a statement with reference to a parameter describing a population Inferential statistics does this using a two-part process: (1) Estimation (of a population parameter) (2) Hypothesis testing.

1.22k views • 37 slides

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data. William Greene Department of Economics Stern School of Business. Agenda. Random Parameter Models Fixed effects Random effects Heterogeneity in Dynamic Panels Random Coefficient Vectors-Classical vs. Bayesian General RPM Swamy/Hsiao/Hildreth/Houck

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z Scores & the Normal Curve Model

z Scores & the Normal Curve Model. The normal distribution and standard deviations. The normal distribution and standard deviations. In a normal distribution:. Approximately 68% of scores will fall within one standard deviation of the mean. The normal distribution and standard deviations.

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Quantitative Methods PSY302 Quiz 6 Confidence Intervals

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Chapter 11- Confidence Intervals for Univariate Data

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Getting More from your Data

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Linear Discriminant Analysis and Logistic Regression

Linear Discriminant Analysis and Logistic Regression. Background. Linear Discriminant Analysis predicts a categorical variable based on one or more metric independent variables. Example.

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Statistics (cont.)

Statistics (cont.). Psych 231: Research Methods in Psychology. Quiz 10 is due on Friday at midnight Class experiment final drafts due in labs this week Please remember to include your commented first draft. Announcements. Inferential statistics used to generalize back. Population.

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AP Biology Calculations: Standard Deviation and Standard Error

AP Biology Calculations: Standard Deviation and Standard Error. Standard Deviation: A measure of how spread out the data is from the mean. Lower standard deviation: Data is closer to the mean

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No Intercept Regression and Analysis of Variance

No Intercept Regression and Analysis of Variance. Example Data Set. Estimate two models. Model with y-intercept Y = a + b * X. Model no y-intercept Y = b * X. Observations. The model with a y-intercept is more complex than the model with no y-intercept.

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The t-test for two independent samples

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- Statistical Analysis 2 -

Topic 9 - Statistical Analysis 2 - T-test & Z-test Deal with only one metric question Test the hypothesis about the mean Whether to use T-test or Z-test? Depend on the sample size If n>30, use Z-test If n<30, use T-test Determine whether the test is one-tailed or two-tailed

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Prevalence of Self-Reported Obesity Among U.S . Adults by State and Territory

Prevalence of Self-Reported Obesity Among U.S . Adults by State and Territory. Definitions Obesity: Body Mass Index (BMI) of 30 or higher.

450 views • 10 slides