Shiny Application and Reproducible Pitch

• The following Shiny Application was built for the course: Developing Data Products as part of the Coursera Data Science Specialization.
• The shiny app developed for this assignment is avalilable in the following link: https://m/
• The source code of ui.R and server.R are available on the my GitHub repository: https://githu

• The application is a Sample Size Calculator.
• You can use it to estimate a sample size for a given population and other parameters, such as margin of error, confidence level, response distribution and expected non response rate.
• It uses the standard formulas for estimation of sample size for proportions, as shown in the next slide.
• The application is based on the sample size calculator of Raosoft (http://www.raosoft.com/samplesize.html). The application adds an expected non response rate and a plot to find margin of errors for a given sample size.

The formulas used in this application are the following:

\[ \begin{aligned} x & = Z_{(c/100)}^{2}r(100-r) \\ n & = N\frac{x}{(N-1)E^2 + x} \\ E & = \sqrt{\frac{(N - n)x}{n(N-1)}} \end{aligned} \]

Where: \( N \) is the population size, \( r \) is the fraction of responses that you are interested in, and \( Z(c/100) \) is the critical value for the confidence level \( c \).

• Better user interface.
• Add Power Analysis.
• Allow for more complex sample designs, such as stratified and clusters.