'Central limit theorem' presentation slideshows

Paired-Samples T-Test of Population Mean Differences Key Points about Statistical Test Sample Homework Problem Solving the Problem with SPSS Logic for Paired-Samples T-Test of Population Mean Differences Power Analysis Paired-samples T-Test: Purpose

Computing Waves in the Face of Uncertainty. E. Bruce Pitman Department of Mathematics University at Buffalo pitman@buffalo.edu. Part of a large project investigating geophysical mass flows. Interdisciplinary research project funded by NSF (ITR and EAR) UB departments/people involved:

UCLA STAT 100A Introduction to Probability. Instructor : Ivo Dinov , Asst. Prof. In Statistics and Neurology Teaching Assistants: Romeo Maciuca , UCLA Statistics University of California, Los Angeles, Fall 2002 http://www.stat.ucla.edu/~dinov/.

Chapter 18. Sampling Distribution Models. Demonstration. Observe in class SPSS demonstration related to sampling distribution models. Demonstration Summary. First, we examined the distribution of state appropriations for education given the entire population of U.S. states.

Two-Level Full Factorials. DOE – Process and design construction Step-by-step analysis (popcorn) Popcorn analysis via computer Multiple response optimization Advantage over one-factor-at-a-time (OFAT). Mark Anderson and Pat Whitcomb (2000), DOE Simplified , Productivity Inc., chapter 3.

The Sampling Distribution. Introduction to Hypothesis Testing and Interval Estimation. Outline. Distinctions Sampling Distribution The Central Limit Theorem Confidence Intervals. Random Sampling. Key things to keep in mind. Population- what we want to talk about

One-way Analysis of Variance and Post Hoc Tests. Key Points about Statistical Test Sample Homework Problem Solving the Problem with SPSS Logic for One-way Analysis of Variance with Post Hoc Tests Power Analysis. One-way Analysis of Variance: Purpose.

Normal Distribution. The Bell Curve. Questions. What are the parameters that drive the normal distribution? What does each control? Draw a picture to illustrate. Identify proportions of the normal, e.g., what percent falls above the mean? Between 1 and 2 SDs above the mean?

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.

Week 4. Bivariate Regression, Least Squares and Hypothesis Testing. Lecture Outline. Method of Least Squares Assumptions Normality assumption Goodness of fit Confidence Intervals Tests of Significance alpha versus p. Recall . . .

An introduction to the Bootstrap method. Hugh Shanahan University College London November 2001. I know that it will happen, Because I believe in the certainty of chance The Divine Comedy. Outline. Origin of Statistics Central Limit Theorem Difficulties in “Standard Statistics”

SPSS does not calculate confidence intervals for proportions. The Excel spreadsheet that I used to calculate the proportions can be downloaded from Kay’s Excel spreadsheets. . The introductory statement in the question indicates: The data set to use: GSS2000R.SAV

Sampling Distributions. Sampling Distribution Introduction. In real life calculating parameters of populations is prohibitive because populations are very large.

Estimating Population Parameters. Estimating Population Proportion. The sample is a simple random sample The conditions for the binomial distribution are satisfied. There are at least 5 successes and 5 failures. Requirements:.

Estimating Parameters. Parameter Estimation. We use statistics to estimate parameters, e.g., effectiveness of pilot training, psychotherapy. We want to know how good our estimates are.

Linear Regression. Statistical Anecdotes: Do hospitals make you sick? Student’s story Etymology of “regression”. Andy Jacobson July 2006. Linear Regression. Statistical Anecdotes: Do hospitals make you sick? Student’s story Etymology of “regression”. Andy Jacobson July 2006.

Evacuating the Comfort Zone: (Via Curriculum Reform…). Comfy Topics. Logical data models and languages Query optimization/execution Consistency models and mechanisms Storage architectures Enterprise IT applications. Moving Outside the Zone. Rethinking system architectures

Probability and Statistics Theme. MAA PREP Workshop July 10 th 2003 Maria G. Fung. NCTM Probability and Statistics Highlights. Collect, organize, and display data Use appropriate statistical methods to analyze data Develop inferences and predictions that are based on data

Interstellar Levy Flights. Collaborators: Stas Boldyrev (U Chicago: Theory) Ramachandran (Berkeley: Pulsar Observing) Avinash Deshpande (Arecibo, Raman Inst: More Pulsars) Ben Stappers (Westerbork: Crucial pulsar person). Outline of Talk: Gambling with Pennies Statistics

I. Basic Definitions II. Sampling Distribution of Sample Mean III. Sampling Distribution of Sample Proportion IV. Odds and Ends I. Basic Definitions Population and sample (N presidents and n presidents) Parameter and statistic Based on all (N) possible values of X: ,  and p