180 likes | 231 Views
Learn about calculating sample sizes with confidence intervals, standards for studies, and factors influencing sample size decisions. Utilize online tools to ensure statistical precision.
E N D
Sample Size (Click icon for audio) Dr. Michael R. Hyman, NMSU
Determine Size for Probability Sample—Practical Issues • Financial • Statistical • Managerial (how confident needed)
Ways to Determine Sample Size • Blind guess • Available budget • Bayesian considerations • Rules of thumb • Main group n > 100 • Subgroups 20 < n < 100 • Standards for comparable studies • Statistical precision
Statistical Precision Must know: • Variability of population and individual stratum • Acceptable level of sampling error • Needed level of confidence • Type of distribution (if non-normal)
Online Sampling Calculators From DSS Research: • Sample Size http://www.dssresearch.com/toolkit/sscalc/size.asp • Sample Error http://www.dssresearch.com/toolkit/secalc/error.asp
Sample Size Formula where: n = sample size z = confidence interval in standard error units s = standard error of the mean E = acceptable magnitude of error
Sample Size Formula:Example #1 Suppose a survey researcher, studying expenditures on lipstick, wishes to have a 95% confident level (Z) and a range of error (E) of less than $2.00. The estimate of the standard deviation is $29.00.
Sample Size Formula:Example #2 Suppose, in the same example as the one before, the range of error (E) is acceptable at $4.00. By how much is sample size is reduced?
2 2 é ù é ù ( 2 . 57 )( 29 ) ( 2 . 57 )( 29 ) = = n n ê ú ê ú 4 2 ë û ë û 2 2 é ù é ù 74 . 53 74 . 53 = = ê ú ê ú 4 2 ë û ë û ] [ [ ] 2 2 = = 6325 18 . 37 . 265 = = 347 1389 Calculating Sample Size 99% Confidence
2 z pq = n 2 E Where: n = number of items in samples Z2 = square of confidence interval in standard error units p = estimated proportion of success q = (1-p) or estimated the proportion of failures E2 = square of maximum allowance for error between true proportion and sample proportion, or zsp squared.
= p . 6 2 ( 96 )(. 1. ) (. 6 4 ) = n = ( . 035 ) 2 q . 4 ( 3 . 8416 )(. 24 ) = 001225 . 922 = . 001225 = 753 Calculating Sample Size at the 95% Confidence Level