'90 confidence' diaporamas de présentation

Statistics for Performance Evaluation

Statistics for Performance Evaluation. Objectives. Provide intuitive conceptual background for some standard statistical tools. Draw meaningful conclusions in presence of noisy measurements . Allow you to correctly and intelligently apply techniques in new situations.

578 views • 50 slides

954 views • 50 slides

Section 8.1

Section 8.1. Day 4. What sample size should you use for a survey if you want the margin of error to be at most 2% with 90% confidence?. What sample size should you use for a survey if you want the margin of error to be at most 2% with 90% confidence?.

432 views • 43 slides

Chapter 2

Chapter 2. Statistical Inference Estimation -Confidence interval estimation for mean and proportion -Determining sample size Hypothesis Testing -Test for one and two means -Test for one and two proportions. Statistical Inference.

434 views • 42 slides

Inside the Mind of Wall Street Investors Developing Investment Confidence

526 views • 41 slides

CPE 619 Comparing Systems Using Sample Data

CPE 619 Comparing Systems Using Sample Data. Aleksandar Milenkovi? The LaCASA Laboratory Electrical and Computer Engineering Department The University of Alabama in Huntsville http://www.ece.uah.edu/~milenka http://www.ece.uah.edu/~lacasa. Part III: Probability Theory and Statistics.

421 views • 41 slides

Chapter 2

Chapter 2. Statistical Inference Estimation -Confidence interval estimation for mean and proportion -Determining sample size Hypothesis Testing -Test for one and two means -Test for one and two proportions. Statistical inference.

620 views • 40 slides

Reasoning in Psychology Using Statistics

Reasoning in Psychology Using Statistics. Psychology 138 2017. Inferential statistics used to generalize back. Population. Hypothesis testing Testing claims about populations (and the effect of variables) based on data collected from samples. Estimation

411 views • 40 slides

Comparing Systems Using Sample Data

Comparing Systems Using Sample Data. Andy Wang CIS 5930-03 Computer Systems Performance Analysis. Comparison Methodology. Meaning of a sample Confidence intervals Making decisions and comparing alternatives Special considerations in confidence intervals Sample sizes. What is a Sample?.

396 views • 39 slides

Chapter 2: Statistical Inference

Chapter 2: Statistical Inference. Chapter Outline 2.1 Estimation Confidence Interval Estimates for Population Mean Confidence Interval Estimates for the Difference Between Two Population Mean Confidence Interval Estimates for Population Proportion

574 views • 35 slides

422 views • 27 slides

Two Factor Full Factorial Design with Replications

Two Factor Full Factorial Design with Replications. Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu These slides are available on-line at: http://www.cse.wustl.edu/~jain/cse567-08/. Overview. Model Computation of Effects

294 views • 22 slides

Two Sources of Error

332 views • 21 slides

BIG FIVE continues

BIG FIVE continues. Openness to Experience. Alternately labeled culture, intellectance, openness. Which best fits depends in part on whether factors are derived lexically (intelligence) or via questionnaire (openness)

298 views • 20 slides

Confidence intervals and bivariate regression The limits of significance

Confidence intervals and bivariate regression The limits of significance. What is the probability that the Red Sox will hit 1, 2, 3, 4, 5, OR 6 or more homeruns in a game?. A. 0 B. 300 C. 1 D. 50%. What is the probability that the Red Sox will hit 1.38 or more homeruns in a game?. A. 0

281 views • 19 slides

Reviewing Confidence Intervals

Reviewing Confidence Intervals. Anatomy of a confidence level. A confidence level always consists of two pieces: A statistic being measured A margin of error. The margin of error can be determined by many different methods depending on what kind of distribution we are using:

267 views • 16 slides

259 views • 16 slides

Rocky Mountain Power - Utah

Rocky Mountain Power - Utah. Workgroups I and II Load Research and Peak-Hour Forecasting. Presented by UTAH INDUSTRIAL ENERGY CONSUMERS Salt Lake City, Utah August 12, 2010. How the Rocky Mountain Power Residential Sample Size is Calculated.

284 views • 8 slides

Advanced Math Topics

Advanced Math Topics. 9.2/9.3 Estimating the Population Mean From a Large Sample. Remember this from last chapter?. How would you find the limits of the sample means that lie in the middle 95% of the normal distribution?. .475. .475. ? x. Lower Limit. Upper Limit.

168 views • 7 slides

Chapter 7 Review

73 views • 7 slides