Effects of Sample Size in the Determination of the True Number of Haplogroups or ESUs Within a Species with Phylogeographic and Conservation Purposes: The Case of Cebus albifrons in Ecuador, and the Kinkajous and Coatis Throughout Latin America

Author(s):  
Manuel Ruiz-García ◽  
María Fernanda Jaramillo ◽  
Sebastián Sánchez-Castillo ◽  
María Ignacia Castillo ◽  
Christian Miguel Pinto ◽  
...  
1966 ◽  
Vol 49 (3) ◽  
pp. 511-515 ◽  
Author(s):  
R W Henningson

Abstract Bath level, sample temperature, rate of stirring, degree of supercooling, sample size, sample isolation, and refreezing of the sample were the variables in the thermistor cryoscopic method for the determination of the freezing point value of milk chosen for study. Freezing point values were determined for two samples of milk and two secondary salt standards utilizing eight combinations of the seven variables in two test patterns. The freezing point value of the salt standards ranged from –0.413 to –0.433°C and from –0.431 to –0.642°C. The freezing point values of the milk samples ranged from –0.502 to –0.544°C and from –0.518 to –0.550°C. Statistical analysis of the data showed that sample isolation was a poor procedure and that other variables produced changes in the freezing point value ranging from 0.001 to 0.011°C. It is recommended that specific directions be instituted for the thermistor cryoscopic method, 15.040–15.041, and that the method be subjected to a collaborative study.


2000 ◽  
Vol 66 (9) ◽  
pp. 4149-4151 ◽  
Author(s):  
Wan-Ling Tsai ◽  
Cynthia E. Miller ◽  
Edward R. Richter

ABSTRACT Both 25-g single-size ground beef samples and 375-g composite ground beef samples were tested by a method combining an immunomagnetic separation (IMS) technique with a sandwich enzyme-linked immunosorbent assay (ELISA) system (IMS-ELISA). The results demonstrated that IMS-ELISA could detect the target, Escherichia coliO157:H7, at the level of 10−1 CFU/g of sample in either the 25- or 375-g sample size.


2016 ◽  
Vol 17 ◽  
pp. 384-390 ◽  
Author(s):  
V. Varsha ◽  
Gaurav H. Pandey ◽  
K. Ramachandra Rao ◽  
B.K. Bindhu

2017 ◽  
Vol 3 (1) ◽  
pp. 87-100
Author(s):  
Karsono , ◽  
Denok Kurniasih ◽  
Dyah Retna Puspita

Abstract: Employee performance is very important for an organization to achieve its goals. This study aims to analyze the influence of work culture, on employee performance, leadership on employee performance, work discipline on employee performance, compensation on employee performance and work culture, leadership, work discipline, compensation on employee performance at PT. KAI Daop 5 Purwokerto. The study population is all employees of PT. KAI Daop 5 Purwokerto as many as 623 employees. Determination of sample size with Slovin formula obtained by 86 respondents. The data used is the primary data obtained from the questionnaires distributed to respondents.Tehnik data analysis used is a quantitative approach. The data of the research were analyzed using multiple regression analysis. The results showed that: Work culture affect the performance of employees means that if the work culture increases then the performance of employees will increase. Leadership affects the performance of employees means that if the existing leadership is conducive to work then the performance of employees will increase, work discipline does not affect the performance of employees means employees who discipline work high and employees who work discipline less have the same performance height, Compensation effect on the performance of meaning if the compensation increases then employee performance will increase, work culture, leadership, work discipline and compensation together affect the employee's performance, meaning that if work culture, leadership, work discipline and compensation together increase the employee performance will increase. Keywords: Working Culture, Leadership, Work Discipline, Compensation, Employee Performance. Abstrak: Kinerja pegawai merupakan hal yang sangat penting bagi organisasi untuk mencapai tujuannya. Penelitian ini bertujuan untuk menganalisis pengaruh budaya kerja, terhadap kinerja pegawai, kepemimpinan terhadap kinerja pegawai, disiplin kerja terhadap kinerja pegawai, kompensasi terhadap kinerja pegawai dan budaya kerja, kepemimpinan, disiplin kerja, kompensasi terhadap kinerja pegawai di PT. KAI Daop 5 Purwokerto. Populasi penelitian adalah semua karyawan PT. KAI Daop 5 Purwokerto sebanyak 623 orang karyawan. Penentuan ukuran sampel dengan rumus Slovin diperoleh sampel sebanyak 86 responden. Data yang digunakan adalah data primer yang diperoleh dari kuisioner yang dibagikan kepada responden.Tehnik analisis data yang digunakan adalah pendekatan kuantitatif. Data hasil penelitian dianalisis menggunakan analisis regresi berganda. Hasil penelitian menunjukkan bahwa: Budaya kerja berpengaruh terhadap kinerja pegawai artinya apabila budaya kerja meningkat maka kinerja karyawan akan meningkat. Kepemimpinan berpengaruh terhadap kinerja pegawai artinya apabila kepemimpinan yang ada sangat kondusif untuk bekerja maka kinerja karyawan akan meningkat, Disiplin kerja tidak berpengaruh terhadap kinerja pegawai artinya pegawai yang disiplin kerjanya tinggi dan pegawai yang disiplin kerjanya kurang memiliki kinerja yang sama tingginya, Kompensasi berpengaruh terhadap kinerja artinya apabila kompensasi meningkat maka kinerja karyawan akan meningkat, Budaya kerja, kepemimpinan, disiplin kerja dan kompensasi secara bersama-sama berpengaruh terhadap kinerja pegawai, artinya apabila budaya kerja, kepemimpinan, disiplin kerja dan kompensasi  secara bersama-sama mengalami peningkatan maka kinerja karyawan akan meningkat. Kata Kunci:  Budaya Kerja, Kepemimpinan, Disiplin Kerja, Kompensasi, Kinerja   Pegawai.


1997 ◽  
Vol 119 (1) ◽  
pp. 57-60
Author(s):  
S. Qin ◽  
G. E. O. Widera

When performing inservice inspection on a large volume of identical components, it becomes an almost impossible task to inspect all those in which defects may exist, even if their failure probabilities are known. As a result, an appropriate sample size needs to be determined when setting up an inspection program. In this paper, a probabilistic analysis method is employed to solve this problem. It is assumed that the characteristic data of components has a certain distribution which can be taken as known when the mean and standard deviations of serviceable and defective sets of components are estimated. The sample size can then be determined within an acceptable assigned error range. In this way, both false rejection and acceptance can be avoided with a high degree of confidence.


Sign in / Sign up

Export Citation Format

Share Document