scholarly journals The Estimation of Finite Population Variance Under Stratified Sampling Technique

2021 ◽  
Author(s):  
Uzma Yasmeen ◽  
Muhammad Noor-ul-Amin
Keyword(s):  
Finite Population ◽  
Auxiliary Information ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Stratified Sampling ◽  
Auxiliary Variables ◽  
Population Variance ◽  
Variance Estimators ◽  
Usual Estimator ◽  
Study Population

The efficiency of the study variable can be improved by incorporating the information from the known auxiliary variables. Usually two techniques ratio and regression estimation are used with the help of auxiliary information in different approaches to acquire the high precision of the estimators. Considering the very heterogeneous population to get the size of the sample it may be originating impossible to get a sufficiently accurate and precise estimate by taking the simple random sampling technique from the complete population. Occasionally taking sample issue may differ significantly in different part of the entire population. For example, under study population consists of people living in apartments, own homes, hospitals and prisons or people living in plain regions and hill regions so in such situations the stratified sampling is one of the most commonly used approach to get a representative sample in survey sampling from different cross units of the population. The present study is set out on the recommendation of generalized variance estimators for finite population variance incorporating stratified sampling scheme with the information of single and two transformed auxiliary variables. The expressions of bias and mean square error (MSE) are obtained for the advised exponential type estimators. The conditions are obtained for which the anticipated estimators are better than the usual estimator. An empirical and simulation study is conducted to prove the superiority of the recommended estimator.

scholarly journals Estimation of finite population distribution function with dual use of auxiliary information under non-response

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243584
Author(s):  
Sardar Hussain ◽  
Sohaib Ahmad ◽  
Sohail Akhtar ◽  
Amara Javed ◽  
Uzma Yasmeen
Keyword(s):  
Distribution Function ◽  
Finite Population ◽  
Population Distribution ◽  
Auxiliary Information ◽  
Simple Random Sampling ◽  
Auxiliary Variable ◽  
Distribution Functions ◽  
Auxiliary Variables ◽  
Sample Mean ◽  
Sample Distribution

In this paper, we propose two new families of estimators for estimating the finite population distribution function in the presence of non-response under simple random sampling. The proposed estimators require information on the sample distribution functions of the study and auxiliary variables, and additional information on either sample mean or ranks of the auxiliary variable. We considered two situations of non-response (i) non-response on both study and auxiliary variables, (ii) non-response occurs only on the study variable. The performance of the proposed estimators are compared with the existing estimators available in the literature, both theoretically and numerically. It is also observed that proposed estimators are more precise than the adapted distribution function estimators in terms of the percentage relative efficiency.

scholarly journals IDENTIFIKASI GAYA BELAJAR MAHASISWA

2016 ◽  
Vol 15 (1) ◽  
pp. 56
Author(s):  
Jeanete Ophilia Papilaya ◽  
Neleke Huliselan
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Visual Learning ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Survey Method ◽  
Guidance And Counseling ◽  
Auditory Learning ◽  
Study Population ◽  
Survey Results

The objective of this study was to identify learning styles of students. The approach used in this study is a quantitative approach with survey method. The variable in this study is a single variable , namely the identification of student learning styles. The study population is students of Guidance and Counseling FKIP Pattimura University totaling 388 people. Samples were used as samples in the amount of 10% of the population of 39 people. The sampling technique using Simple Random Sampling. Learning styles questionnaire prepared based on the opinion of De Poter & Hernacki is used as a data collection tool. Learning styles identified as visual learning style, auditorial learning style, and kinesthetic learning style. Data analysis techniques in this study is the descriptive statistical analysis methods. Based on the survey results revealed that students of guidance and counseling FKIP Pattimura University has a tendency to one learning style. Of the 39 students found that 6 students had a tendency visual learning style, 20 students have a tendency to auditory learning style, 1 student has a tendency kinestheticlearning style, and 12 students have a tendency to mix between learning styles and learning styles visual auditorylearning styles.

scholarly journals PENERAPAN MODEL PEMBELAJARAN STAD DAN DISCOVERY LEARNING BERBANTUAN MACROMEDIA FLASH UNTUK MENINGKATKAN HASIL BELAJAR SISWA

2020 ◽  
Vol 10 (2) ◽  
pp. 155
Author(s):  
Dewi Syafriani ◽  
Siti Aminah Br Bancin
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Reaction Rate ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Student Learning Outcomes ◽  
Discovery Learning ◽  
Student Collaboration ◽  
Study Population ◽  
Student Team

This study aims to determine learning outcomes using the Student Team Achievement Divisions (STAD) model assisted with macromedia flash compared to Discovery Learning assisted with macromedia flash on the reaction rate material. The study population was all students of class XI MIPA MAN 3 Medan. The sampling technique in this study is simple random sampling. The selected sample is Class XI MIPA 1 as an experimental class I which is treated with a Student Team Achievement Divisions (STAD) model assisted by macromedia flash and Class XI MIPA 3 as an experimental class II which is treated with a Discovery Learning model assisted by macromedia flash. This study uses test instruments that have been tested and are valid. Student learning outcomes data are first tested for normality and homogeneity, where the results obtained by both groups of samples are homogeneous and normally distributed. Hypothesis testing uses the Independent Sample T-Test, with the results of the research obtained a significance value of 0.047. Thus, there are significant differences in student learning outcomes taught using the Student Team Achievement Divisions (STAD) model with Discovery Learning assisted by macromedia flash with a result of 14% using the STAD model better than Discovery Learning.Keywords: Learning Outcomes, Student Collaboration, Student Team  Achievement Divisions (STAD), Discovery Learning, Reaction Rate 

scholarly journals On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Saddam Hussain ◽  
Mi Zichuan ◽  
Sardar Hussain ◽  
Anum Iftikhar ◽  
Muhammad Asif ◽  
...  
Keyword(s):  
Random Sampling ◽  
Mean Squared Error ◽  
Population Distribution ◽  
Auxiliary Information ◽  
Simple Random Sampling ◽  
Auxiliary Variable ◽  
Distribution Functions ◽  
Supplementary Information ◽  
Auxiliary Variables ◽  
Estimation Of Distribution

In this paper, we proposed two new families of estimators using the supplementary information on the auxiliary variable and exponential function for the population distribution functions in case of nonresponse under simple random sampling. The estimations are done in two nonresponse scenarios. These are nonresponse on study variable and nonresponse on both study and auxiliary variables. As we have highlighted above that two new families of estimators are proposed, in the first family, the mean was used, while in the second family, ranks were used as auxiliary variables. Expression of biases and mean squared error of the proposed and existing estimators are obtained up to the first order of approximation. The performances of the proposed and existing estimators are compared theoretically. On these theoretical comparisons, we demonstrate that the proposed families of estimators are better in performance than the existing estimators available in the literature, under the obtained conditions. Furthermore, these theoretical findings are braced numerically by an empirical study offering the proposed relative efficiencies of the proposed families of estimators.

scholarly journals A Study on the Chain Ratio-Type Estimator of Finite Population Variance

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Yunusa Olufadi ◽  
Cem Kadilar
Keyword(s):  
Finite Population ◽  
Numerical Comparison ◽  
Mean Square ◽  
Auxiliary Variables ◽  
Population Variance ◽  
Two Phase ◽  
First Order ◽  
Phase Sampling ◽  
The Mean ◽  
Two Phase Sampling

We suggest an estimator using two auxiliary variables for the estimation of the unknown population variance. The bias and the mean square error of the proposed estimator are obtained to the first order of approximations. In addition, the problem is extended to two-phase sampling scheme. After theoretical comparisons, as an illustration, a numerical comparison is carried out to examine the performance of the suggested estimator with several estimators.

scholarly journals Pengaruh Kompensasi Terhadap Kinerja Karyawan Pada PT Mora Telematika Indonesia Jakarta

2020 ◽  
Vol 2 (1) ◽  
pp. 27-32
Author(s):  
Mia Hardina ◽  
Resista Vikaliana
Keyword(s):  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Correlational Research ◽  
Study Population ◽  
Independent Variable ◽  
And Performance ◽  
Moderate Relationship

This research was conducted because the performance of employees at PT Mora Telematics Indonesia is not optimal so it is suspected that there is an effect of compensation on employee performance at PT Mora Telematics Indonesia Jakarta. This research uses a quantitative approach with correlational research. The study population was 150 employees with a sample of 60 respondents who were taken using simple random sampling technique and data collection techniques using a questionnaire. Simple Linear Regression and Hypothesis Testing were used in this study. Based on the results of the analysis, it is known that there is a positive and significant influence between compensation and performance. Thus H1 is accepted and H0 is rejected. The effect of compensation on performance is indicated by the regression equation Y =. The results also show a correlation coefficient or r of 0.452, which means that there is a moderate relationship between the independent variable, namely compensation to the dependent variable, namely employee performance. Meanwhile, the coefficient of determination or r-square of 0.204 shows that compensation for performance has an effect of 20.4% and the remaining 79.6% is influenced by other variables not observed in this study

scholarly journals Cohesivity Fisheries Community in the Face of Climate Change on the Coast of Western Java

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Galuh Adriana ◽  
Nurmala K. Pandjaitan ◽  
Arya Hadi Dharmawan
Keyword(s):  
Climate Change ◽  
Collective Action ◽  
Collective Efficacy ◽  
Sense Of Community ◽  
Random Sampling ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Economic Interests ◽  
The Face ◽  
Study Population

<p>ABTRACT<br />The conditions of fishermen is very dependent with nature. Climate change that happening makes nature more difficult to predict. That can make the living of fishermen more vulnerabel. Communities that have a strong cohesiveness will have a collective action to deal with climate change. The purpose of this study is to see the level of cohesiveness fisherman in the face of climate change. The method used is mix method using questionnaire, observation and in-depth interviews. The number of respondents was 100 people. The selection of respondents was done by simple random sampling technique, where the study population are members of “raskin” program from government. The results are fisheries community have a strong social capital, sense of community and community collective efficacy, which is produced strong cohesiveness. However, in reality what is perceived is not necessarily reflected in everyday life. Collective action found only in activities that support public facilities. However, collective action for the economic interests only occurs in certain interest groups. According the results can be argued that the level of fishing community cohesiveness is high, but only produce preparadness for climate change.<br />Keywords: social cohesion, collective action, fisheries community</p><p><br />ABSTRAK<br />Kehidupan nelayan sangat bergantung dengan alam. Perubahan iklim yang terjadi membuat alam semakin sulit untuk diprediksi. Kondisi tersebut membuat kehidupan nelayan semakin vulnerabel. Komunitas yang memiliki kohesivitas yang kuat akan memiliki aksi kolektif untuk menghadapi perubahan iklim. Penelitian ini bertujuan untuk melihat derajat kohesivitas komuitas nelayan dalam mengahadapi perubahan iklim. Metode yang digunakan adalah mix method dengan menggunakan kuesioner, observasi dan wawancara mendalam. Jumlah responden adalah 100 orang. Pemilihan responden dilakukan dengan teknik simple random sampling, dimana populasi penelitian adalah anggota komunitas penerima program beras raskin dari pemerintah. Hasil penelitian adalah komunitas nelayan memiliki modal sosial, sense of community dan community collective efficacy yang kuat, yang akan menghasilkan kohesivitas yang kuat. Akan tetapi, apa yang dirasakan belum tentu tercerimin pada kehidupan sehari-hari. Aksi kolektif hanya terdapat pada kegiatan yang mendukung fasilitas umum. Akan tetapi aksi kolektif untuk kepentingan ekonomi hanya terjadi pada kelompok-kelompok kepentingan tertentu. Berdasarkan hasil dapat dikatakan bahwa tingkat kohesivitas komunitas nelayan tinggi, tetapi hanya menghasilkan kesiapan untuk menghadapi perubahan iklim.<br />Kata kunci: kohesivitas, aksi kolektif, komunitas pesisir</p>

scholarly journals PENGARUH SUPERVISI KEPALA SEKOLAH TERHADAP KINERJA GURU DI SMP NEGERI 1 PARUNG KECAMATAN PARUNG KABUPATEN BOGOR

2017 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Darmawati Darmawati ◽  
R. Akhmad Munjin ◽  
G. Goris Seran
Keyword(s):  
Teacher Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Field Studies ◽  
Significance Test ◽  
Average Score ◽  
Performance Variables ◽  
Key Word ◽  
Study Population

The research method was associative. The data collection techniques used was literature and field studies. The study population amounted to 47 respondents. The sampling technique used was simple random sampling. Determination of the sample used Yamane formula so the result sampling was 32 respondents. To determine the degree of correlation was used Pearson Product Moment Correlation. The results of research recapitulation variable supervision showed the average score of 3.2 which categorized medium and the recapitulation teacher performance variables obtained an average score 4.45 which categorized very good, the product moment correlation significance test for n = 32 , standard error of 5%, then the value of rtable=0.349. then   rcount  0.195 the count was less than rtable=0.349, so 0.195 was a significant correlation coefficient. The research conclusion showed that the influence of principal supervising toward teacher performance by 19.5% and the remaining 80.5% was determined other factors, such as the assessment of teachers by students, delivery of teaching material according to the students opinion, incentives, teacher certification.   Key word: Supervision, Performance, Teacher.

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