PPT-For the same confidence level, narrower confidence interval

Sample size and experimental design You may need a certain margin of error eg drug trial manufacturing specs In many cases the population standard deviation s is fixed but we can choose the number of measurements . : . How . Large is the Effect. ?. Chapter 2. Chapter Overview. So far, we can only say things like . “We have strong evidence that the long-run probability . Buzz . pushes the correct button is larger than 0.5.” . Chapter 19 Rocks!. Formulaic Consequences. In our formula, . fractionwise. , z-star is in the top and n is in the bottom.. The terms for these are directly proportional (for z-star) and inversely proportional (for n).. When I cover the entire population I get to know the truth – precisely.. That means that when my sample size is high I get a more precise answer.. That means that when my sample size increases my preciseness increases. Excel. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Estimates. We are often asked to predict the future!. When will you complete your team project?. When will you make your first million dollars?. . Interval. You. . sample. 36 . apples. . from. . your. . farm’s. . harvest. of . over. 200,000 . apples. . . The. . mean. . weight. of . the. . sample. is 112 . grams. (. with. 40 gram . GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Estimates. We are often asked to predict the future!. When will you complete your team project?. When will you make your first million dollars?. Intervals for Proportions. Ch. 19 . Notes. AP Statistics. Chapter 19 Textbook HW. p.455. #2,4,6,13 (Goal for Tonight). #7,8,14,18,22,26,30,32,35,36. P. 443 Graphs. Inference. To infer means to draw a conclusion.. Unit 4 – Inference from Data: Principles. Topic 16 . Confidence Intervals: Proportion. Topic 16 - Confidence Interval: Proportion. The estimated standard deviation of the sample . statistic pˆ is called the . http://pballew.blogspot.com/2011/03/100-confidence-interval.html. Statistical Inference. 2. Sampling. Sampling Variability. What would happen if we took many samples?. 3. Population. Sample. Sample. Sample. 16. . Thursday. , October . 13, . 2016. Textbook: Sections . 9.3, 9.4. , 10.1, 10.2. • Define standard error, relate it to both standard deviation and sampling distribution ideas.. • . Describe the sampling distribution of a sample proportion. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Estimates. We are often asked to predict the future!. When will you complete your team project?. When will you make your first million dollars?. Section 8.1. Confidence Intervals: The Basics. After this section, you should be able to…. INTERPRET a confidence level. INTERPRET a confidence interval in context. DESCRIBE how a confidence interval gives a range of plausible values for the parameter. Confidence Intervals on . and. An interval estimator is a formula that tells us how to use sample data to calculate an interval that estimates a population parameter.. The confidence coefficient is the probability that an interval estimator encloses the population parameter.. Chapter 6 Confidence Intervals Sections 6-1 and 6-2 Confidence Intervals for Large and Small Samples   VOCABULARY: Point Estimate – A single value estimate for a population parameter.