'Confidence interval' presentation slideshows

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8-5 Estimating mean differences

8-5 Estimating mean differences

8-5 Estimating mean differences. Comparing two populations. Are two populations different? Really? Just a little? What if I wanted to compare the mean test grades of two classes. How different might they be? Independent samples are completely unrelated to each other.

By bernad
(1098 views)

Assessing agreement for diagnostic devices

Assessing agreement for diagnostic devices

Assessing agreement for diagnostic devices. FDA/Industry Statistics Workshop September 28-29, 2006 Bipasa Biswas Mathematical Statistician, Division of Biostatistics Office of Surveillance and Biometrics Center for Devices and Radiological Health, FDA

By paul
(1249 views)

Chapter 6

Chapter 6

Chapter 6. Introduction to Inference. Motivational Scenario. A market research agency has been given the task to estimate the average number of hours per week that young adults spend surfing the web.

By erika
(225 views)

Chapter 20 Testing Hypothesis about proportions

Chapter 20 Testing Hypothesis about proportions

Chapter 20 Testing Hypothesis about proportions. Example: Metal Manufacturer Ingots 20% defective (cracks) After Changes in the casting process: 400 ingots and only 17% defective Is this a result of natural sampling variability or there is a reduction in the cracking rate?. Hypotheses.

By ostinmannual
(309 views)

CHAPTER 9 Testing a Claim

CHAPTER 9 Testing a Claim

CHAPTER 9 Testing a Claim. 9.2 Tests About a Population Proportion. Tests About a Population Proportion. STATE and CHECK the Random, 10%, and Large Counts conditions for performing a significance test about a population proportion. PERFORM a significance test about a population proportion.

By Faraday
(442 views)

Welcome to Econ 420 Applied Regression Analysis

Welcome to Econ 420 Applied Regression Analysis

Welcome to Econ 420 Applied Regression Analysis. Study Guide Week Six. The F-Test of Overall Significance of Equation. Testing to see if, in general, our equation is any good at all. Step 1: State the null and alternative hypotheses.

By Thomas
(278 views)

Modern Approaches

Modern Approaches

Modern Approaches. Multiple Comparisons. Multiple Comparisons. Why multiple comparisons? Post hoc comparisons: Dealing with problems A priori comparisons and Trend analysis. The situation. One-way ANOVA What does it tell us? Group means are different In what manner? Don’t know

By Leo
(250 views)

Measurement Concepts & Interpretation

Measurement Concepts & Interpretation

Measurement Concepts & Interpretation. Scores on tests can be interpreted:. By comparing a client to a peer in the norm group to determine how different the client is from the norm group (inter-individual) Scores provided in norm tables

By johana
(463 views)

Using Stata 9 to Model Complex Nonlinear Relationships with Restricted Cubic Splines

Using Stata 9 to Model Complex Nonlinear Relationships with Restricted Cubic Splines

Using Stata 9 to Model Complex Nonlinear Relationships with Restricted Cubic Splines. William D. Dupont W. Dale Plummer. Department of Biostatistics Vanderbilt University Medical School Nashville, Tennessee. Timer. Given.

By daniel_millan
(1102 views)

Biostatistics course Part 9 Comparison between two means

Biostatistics course Part 9 Comparison between two means

Biostatistics course Part 9 Comparison between two means. Dr. Sc Nicolas Padilla Raygoza Department Nursing and Obstetrics Division Health Sciences and Engineering Campus Celaya-Salvatierra University of Guanajuato, Mexico. Biosketch. Medical Doctor by University Autonomous of Guadalajara.

By Anita
(379 views)

Energy Risk Management Credit Rating Perspective

Energy Risk Management Credit Rating Perspective

Energy Risk Management Credit Rating Perspective. Energy Trading & Marketing Credit Rating Methodology. Our Objective: Understand an energy companies’ risks and how well those risks are managed Both quantitative and qualitative analysis tools are used to evaluate risks

By niveditha
(345 views)

Making Inferences: Clinical vs Statistical Significance

Making Inferences: Clinical vs Statistical Significance

If you are viewing this slideshow within a browser window, select File/Save as… from the toolbar and save the slideshow to your computer, then open it directly in PowerPoint. When you open the file, use the full-screen view to see the information on each slide build sequentially.

By albert
(387 views)

Ob/ Gyn Journal Club Notes

Ob/ Gyn Journal Club Notes

Ob/ Gyn Journal Club Notes. December 7, 2018 Martha A. Wojtowycz, PhD. Learning Objectives. Explain what is meant by allocation concealment and what purpose it serves in a randomized control study Disseminate the results of a RCT Interpret the Number Needed to Treat (NNT)

By Antony
(355 views)

Normal Distribution

Normal Distribution

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?

By Lucy
(856 views)

Dedicated to improving the care of the surgical patient and to safeguarding standards of care in an optimal and ethica

Dedicated to improving the care of the surgical patient and to safeguarding standards of care in an optimal and ethica

American College of Surgeons. Dedicated to improving the care of the surgical patient and to safeguarding standards of care in an optimal and ethical practice environment. What NSQIP Is. ______________________________. Web-Based data collection software Quality improvement tool

By paul2
(293 views)

Inference for a Population Mean

Inference for a Population Mean

Statistics 111 - Lecture 13. Inference for a Population Mean. Confidence Intervals and Tests with unknown variance and Two-sample Tests . Administrative Notes. Homework 4 due Wednesday Homework 5 assigned tomorrow The final is ridiculously close (next Thursday). Outline. Review:

By Albert_Lan
(344 views)

Learning Leadership Matters: Teachers’ experiences of innovatively and conventionally prepared principals

Learning Leadership Matters: Teachers’ experiences of innovatively and conventionally prepared principals

Learning Leadership Matters: Teachers’ experiences of innovatively and conventionally prepared principals. Paper presented by: Terry Orr, Bank Street College Stelios Orphanos, Stanford University AERA, Chicago, April 2007. Purpose.

By Antony
(271 views)

RANDOM SAMPLING:

RANDOM SAMPLING:

RANDOM SAMPLING:. Topic #2. Key Definitions Pertaining to Sampling. Population : the set of “units” (in survey research, usually either individuals or households ), that are to be studied, for example ( N = size of population): The U.S. voting age population [ N = ~ 200m]

By Jimmy
(563 views)

Karlis TRUSINSKIS Interventional Cardiologist Pauls Stradins Clinical University Hospital Riga, LATVIA

Karlis TRUSINSKIS Interventional Cardiologist Pauls Stradins Clinical University Hospital Riga, LATVIA

ANTIAGREGANTS IN ACUTE CORONARY SYNDROME. Karlis TRUSINSKIS Interventional Cardiologist Pauls Stradins Clinical University Hospital Riga, LATVIA. Dual Antiplatelet Therapy. ASA + Clopidogrel I Class of evidence in treatment of ACS

By johana
(576 views)

Confidence Intervals

Confidence Intervals

Confidence Intervals. Rate your confidence 0 - 100. Name my age within 10 years? within 5 years? within 1 year? Shooting a basketball at a wading pool, will make basket? Shooting the ball at a large trash can, will make basket? Shooting the ball at a carnival, will make basket?.

By paul2
(306 views)

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