PPT-Penny for your thoughts Take a sample of size 5 from the population

Penny for your thoughts Take a sample of size 5 from the population Calculate p the proportion of pennies minted in the 2000s Calculate the mean year of the pennies as well KEEP THIS DATA WHERE YOU CAN USE IT AGAIN. Jed Friedman, World . Bank. SIEF Regional Impact Evaluation Workshop. Beijing, China. July 2009. Adapted from slides by Esther . Duflo. , J-PAL. Planning Sample Size for . Randomized Evaluations. General question: . . Testing. Two siblings, . Arlen . and an . Robin agree . to resolve their disputed ownership of an . Ert´e. . painting by . tossing a penny. Arlen produces a penny and, just as Robin is about . to toss . Statistics. Dr. Mohammed Alahmed. Ph.D. in . BioStatistics. alahmed@ksu.edu.sa. (011) 4674108. 2. 3. Inferential . Statistics. 4. Statistical inference . is the act of generalizing from a . sample . to a . Presented by :Dr. . Reshma.S. . Moderator : Dr. . Subodh. S Gupta. Why do we need sample size calculation?. When should we calculate sample size?. Basic principles for sample size calculation. Derivation of sample size formula. MTH 494. Lecture-15. Ossam Chohan. Assistant Professor. CIIT Abbottabad. How to draw a Stratified Random Sample. First step is to clearly specify the strata.. Place each sampling unit of population in its appropriate stratum. . 1. SAMPLING DISTRIBUTIONS —. SAMPLING DISTRIBUTIONS. Population and samples, parameters and statistics. A . POPULATION. is the set of . all possible subjects . of a given . experiment. or . study. thickness. A histogram of . the measured thickness of . 100 new . pennies (which haven't been worn appreciably and should all be the same thickness) using a crude . micrometer. The . average thickness for this sample is 1.42mm and the RMS of the distribution is 0.07mm. 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. SAMPLING DISTRIBUTIONS & STANDARD . ERRORS. (And Possible Effects on Results of Teaching Evaluation). VARIABLE & DISTRIBUTION. A function or . rule that . maps or associates . with . each element in a domain . Review of Type I & Type II Errors. When we conduct a test of any hypothesis regardless of the test used we make one of two possible decisions:. Reject the null (H. o. ) in favor of the alternative (H. Background. We have learned ways to display, describe, and summarize data, but have been limited to examining the particular batch of data we have.. To make decisions, we need to go beyond the data at hand and to the world at large.. Important in evaluating the health of ecosystem:. Is organism threatened or endangered….need protection? Wolves. Over-running habitat….. Should Population be thinned ? Deer. Count Individuals. Best for stationary organisms. attached to them The computer using a procedure called random digit dialing RDD actually creates phone numbers from those exchanges then generates telephone samples from those In essence this procedur for . clinical. . trials. Dr Greg Fox. University. of Sydney, . Australia. Overview. Selecting a suitable study population to answer our research question: where? who’s in? who’s out?. Minimising.