PPT-Sample Size and Confidence Interval

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. Summary From Last Time. Normal/Gaussian distribution.  . .  . mean.  . standard deviation.  .  . .  . Central Limit Theorem: . Sums of . independent random variables . tends to normal distribution as you add many. Recitation 12. (4/2/2013). TA: Zhen Zhang. zhangz19@stt.msu.edu. Office hour: (C500 WH) 3-4 PM Tuesday. (. office . tel.: . 432-3342). Help-room: (A102 WH) . 9:00AM-1:00PM. , . Monday. Class meet on Tuesday: . 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 . Manual. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. 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.. 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. Chapter 23. Inference About Means . Getting Started. Now that we know how to create confidence intervals and test hypotheses about proportions, . it would . be nice to be able to do the same for means. 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.. (b) . The 95% confidence interval is 0.56 to 0.62. We are 95% confident that the interval from 0.52 to 0.62 captures the true proportion of those who would like to lose weight. . (c) . If we were to repeat the sampling procedure many times, about 95% of the confidence intervals computed would contain the true proportion of those who would like to lose weight.. 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. Confidence Intervals for a Population Proportion Section 8.3 Objectives Construct a confidence interval for a population proportion Find the sample size necessary to obtain a confidence interval of a given width Essential Statistics 2E William Navidi and Barry Monk Confidence Intervals for a Population Proportion Section 7.3 Objectives Construct a confidence interval for a population proportion Find the sample size necessary to obtain a confidence interval of a given width