Pie Chart: It plots the sample size against the number of invitations required. Waffle Chart: It allows you to represent the percentage of the sample size compared to the size of the population. The results displayed by XLSTAT are a summary table with the population size, the margin of error, the confidence interval, the sample size, and the number of invitations required. What are the results of the XLSTAT sample size calculator? Then enter the estimated response rate (in %).Ĭalculate: Click this button to display the result in the Results area of the dialog box. Number of respondents (in the case of calculating the margin of error): Enter the number of people who responded to your survey.Ĭonfidence interval: Enter the size of the desired confidence interval (in %).Įstimated response rate: Select this option if you want to calculate the number of invitations required to reach the correct sample size. Margin of error (in case of sample size calculation): Enter the margin of error that you accept for your study (in %). Population Size: Enter the size of the study population. Goal: Choose between the calculation of the sample size and the calculation of the margin of error (depending on this choice, the following fields will be different). How to compute the size of a sample in XLSTAT?ĭifferent arguments are available in the XLSTAT sample size calculator: If you already know the size of your sample, XLSTAT also allows you to check its margin of error. XLSTAT makes it possible, with this tool, to calculate the right number of people to be interviewed in order to obtain a sample size that is neither too large (which would make the study more complex and expensive), or too small (which would generate erroneous results). In order to obtain reliable results, it is necessary to have a sample that is as representative as possible of the population. ![]() When conducting a statistical study or a market study involving research on groups of populations, it becomes important to wonder about of the sample size. Tests can be performed to check if the survival curves have arisen from identical survival functions. It includes more than 100 key statistical tools to help you gain in-depth insights into your data. The Basic solution is the perfect package to get started with data analysis. For example, it can be of interest to compare the survival times of two samples of the same product produced in two different locations. XLSTAT-LatentClass is a reduced version of Statistical Innovations highly acclaimed LatentGOLD® package, which can help you discover the segments hidden in your data. ![]() Why do we need to determine the sample size for a survey? The Kaplan-Meier analysis allows you to compare populations, through their survival curves.
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