Examples of Error margin in a sentence
In contributions, the following contributions discuss how uncertainties in specifications can be used as reference for determination of distribution Error margin for TEG [7, 13]Uncertainty specified for TRP location used as the range [17]Applicability of over-bounding Gaussian formula on error sources are discussed in [1, 2, 3 11, 14].
To determine sample size Taro Yamane mathematical formula was used as shown below: Where:n = Sample size;N= Total number members in EIC-ES&CCA; e = Error margin, fixed as 7% (0.07);n = 761 / 1 + 761 (0.07)2 = 161Based on the above sample size calculation, 161 sample members were obtained.
N (e)2Wheren = Sample sizeN = Populatione = Error margin 5%The population size of 2453 was used in this study.n = 2453 / (1+2453 (0.05)2) and thus, n = 344 (sample size)Thus, 344 questionnaires copies were administered to customers of many banks in south- south, Nigeria.
Accordingly, a 95% confidence and p=0.5 the sample size would be; Where; n= sample size N= the population size got from the TRA registered facilities e= Error margin allowed in the sampling (Yamane, 1967).
The computation of the revised IP sets energy consumption is as indicated below: Revised Specific Consumption for FY19 Sl.No. Revised Sales to IP sets by adding 10% Error margin Sl No ParticularsAs computed by the CommissionFor FY18For FY19 Details of month-wise consumption considered for computing the Specific Consumption is as follows: TABLE - 4.6Month-wise Consumption in MESCOM Month * By adding a sampling error margin of 10%.
Proportional allocation was also computed for each manager and non- manager employees per selected levels.n = N 1+N (e) ^2n= Desired sample size, N = Total number of target employees, e = Error margin The study assumes that the margin of error 5% and confidence level or error free of 95%.
Error margin: is the percentage that describes the closeness of the outcome of the sample to the “true value” in the population.
To determine a representative sample size, the study adopted a formula by [15] for estimating a sample size, n, from a known population size, N, and a coefficient of variation (CV) of 50%.n= NC2C2+ (N-1) C2Where,n= Sample Size N= Population sizeC= Coefficient of variation which is 50%℮= Error margin which is 0.05 n= 1020(0.5)2(0.5)2+ (1020-1)0.052n = 90Data Analysis and PresentationData analysis is a process in which raw data is ordered and organized so that useful information can be extracted from it.
Some uncertainty must be addressed considering the poorly instrumented gas turbine B and upgrading these instruments are recommended.
Error margin = 5% = 0.05.N = 1.96 2 x 0.5 x 0.6 / 0.052 = 0.9264556224/ 0.0025 = 370.However, considering a non-response rate of 10%, the sample size for the study will be increased as follows: n = N/1-fn= 371/1-0.1 =371/0.9 = 412.22; n is approximately 412 households.