PPT-Sample Size

Excel GrowingKnowingcom 2011 1 GrowingKnowingcom 2011 Sample size How big should a sample be for a valid study Why phone 10000 students if phoning 50 is enough Large samples take longer and cost more. brPage 1br Sample brPage 2br Sample brPage 3br Sample brPage 4br Sample brPage 5br Sample brPage 6br Sample brPage 7br Sample brPage 8br Sample x x x x Dr. . Papia. Sultana. Associate Professor. Department of Statistics. University of . Rajshahi. 20/04/2012. 1. Dr. Papia Sultana. Sampling. The sample. The population. 20/04/2012. 2. Dr. Papia Sultana. 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. New aid in Feature Selection. Gustavo Sosa-Cabrera . 1. . Miguel García-Torres . 2. Santiago Gómez . 1. Christian E. Schaerer . 1. Federico Divina . 2. November, 2016. Séminaire Math AmSud ● Montevideo, Uruguay. November 17, . 2015. Allen Kunselman, MA. Division of Biostatistics and Bioinformatics. Department of Public . H. ealth Sciences. Quotes. An approximate answer to the right question is worth a good deal more than an exact answer to the wrong question.. 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. What if a sample of 50 is not enough, you need 51 for a valid study?. 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! Sample headline. Sample Accent Copy. Sample headline. Sample bullet copy. Second sample . bullet copy. Third . sample . bullet . copy. Fourth . sample . bullet copy. Second column of sample bullet copy. Sampling error is acknowledgedClaims/Inferences indicate that a sample may or may not be representative of the larger population Interpretations include the difference between two groups with differe 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 David Morgan (King’s College, London / Consultant – formerly Ipsen). Nilani. . Liyanage. (Ipsen). Alison Langley (Consultant – formerly Ipsen). PSI Scientific Meeting on Sample Size Re-estimation: London: 2 November 2016. Plan. Review of hypothesis testing. Power and sample size . Basic concepts. Formulae for common study designs. Using the software. When should you think about power & sample size?. Start thinking about statistics when you are planning your study. Binary, Ordinal and . Contingency Table Data. Ronan Fitzpatrick. Lead Statistician. nQuery. Webinar. Host. Agenda. Categorical Data Overview. Binary Data Methods & Sample Size. Ordinal Data Methods & Sample Size. Correlation, Agreement, and Diagnostic Measures. Denis Desmond. Research Statistician. nQuery. Webinar. Host. Agenda. Correlation Methods and Sample Size. Agreement Methods and Sample Size. Diagnostic Testing Methods and Sample Size.