The larger the sample size, the more certain you can be that the estimates reflect the population, so the narrower the confidence interval. By watching what happens to the alternative scenarios you can see how each input is related to the sample size and what would happen if you didn’t use the recommended sample size. You can use the Alternative Scenarios to see how changing the four inputs (the margin of error, confidence level, population size and sample proportion) affect the sample size.
The above sample size calculator provides you with the recommended number of samples required to estimate the true proportion mean with the required margin of error and confidence level. Biostatistics: A Foundation for Analysis in the Health Sciences. The following reference explains how the FPC is used to adjust a variance estimate when sampling without replacement (see pages 141-142).ĭaniel WW (1999).
Note that a Finite Population Correction has been applied to the sample size formula. for a confidence level of 95%, α is 0.05 and the critical value is 1.96), MOE is the margin of error, p is the sample proportion, and N is the population size. This calculator uses the following formula for the sample size n:Īnd Z α/2 is the critical value of the Normal distribution at α/2 (e.g.
If, however they know from previous studies that they would expect a conversion rate of 5%, then a sample size of 73 would be sufficient. N, mean and sum of squares of the sample set.Ĭalculate the percentage weight of two or three numbers that make up a total sum of the sample set.Ĭalculate the z-score using one of three methods including for a set of data.If a retailer would like to estimate the proportion of their customers who bought an item after viewing their website on a certain day with a 95% confidence level and 5% margin of error, how many customers do they have to monitor? Given that their website has on average 10,000 views per day and they are uncertain of their current conversion rate, then they would need to sample 370 customers. Generate one or more random numbers or random letter sets from a range of numbers or letters.Ĭalculate the standard deviation and variance for a set of data.įormulas include the basic descriptive statistics to calculate the minimum, maximum, range, sum, count, mean, median, mode, standard deviation, variance, midrange, percentiles, quartiles, outliers, sum of squares, mean deviation, absolute deviation, root mean square, standard error of the mean, skewness, kurtosis, kurtosis excess, and coefficient of variation.Ĭreate stem and leaf plots, or stemplots, for sets of data values and calculate basic statistics including the minimum, maximum, sum, count, mean, median, mode, standard deviation and variance.Ĭalculate variance, standard deviation and variables needed to calculate variance including sample size Pick a randomly generated number between 1 and 100. Pick a randomly generated number between 1 and 10. Generate one or more random numbers from a custom range of numbers you select with or without repeats and sorting. Sort a list of names or generate multiple picks with repeats. Randomly pick a name or multiple names from a list. PIN numbers of 1 to 100 digits long with or without repeats.ĭraw 1 to 52 cards randomly from a shuffled deck of playing cards. Mean = sum of data / number of data valuesĬalculate the statistical mean, median and mode for a set of data.Ĭonvert "odds of winning" an event into a percentage chance of success.Ĭalculate any percentile and get a table of every 5th percentile for a given data set.Ĭalculate first, second and third quartiles, the interquartile range, and minimum and maximum for a data set.
Calculate the minimum, maximum, range, sum, count, mean, median, mode, standard deviation, variance, midrange, quartiles, sum of squares, mean deviation, absolute deviation, root mean square, standard error of the mean, skewness, kurtosis, coefficient of variation and frequency for a set of data.Ĭalculate the grade you need on the final exam to get a desired grade for the course.Ĭalculate grade point average and cumulative grade point averages.Ĭalculate the mean of a set of data.
#Absolute max and min calculator plus#
Average is the same as mean.Īverage = sum of data / number of data valuesĬalculate the minimum, maximum, sum, count, mean, median, mode, standard deviation and variance for a data set.Ĭalculations include the basic descriptive statistics plus additional values.
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