scholarly journals Analisis Dampak Produk Domestik Regional Bruto (PDRB) Berdasarkan Harga Konstan Terhadap Pendapatan Masyarakat Kabupaten Bone 2011-2015

2019 ◽  
Vol 1 (2) ◽  
pp. 176-179
Author(s):  
Muhammad Sabil ◽  
H. Firdaus H. Firdaus
Keyword(s):  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Linear Regression Analysis ◽  
A Value ◽  
Three Samples ◽  
Independent Variable ◽  
The Impact ◽  
Domestic Products ◽  
Collection Methods ◽  
Constant Prices

This research is to analyze the Impact of Gross Regional Domestic Product (GRDP) Based on Constant Prices on Community Revenues Bone District 2011-2015. In this study, researchers took 3 samples from 17 sectors in Gross Regional Domestic Products at Constant Prices as populations, namely Agriculture, Forestry, and Fisheries. The reason the researchers took these three samples, because in Bone District were the three superior sectors. Data collection methods used through the documentation method. The data taken was analyzed by Simple Lienear Regression with the help of SPSS 16.0 software. with regression expression Y = a + bx. The results of this study indicate that the results of linear regression analysis produce a regression equation Y = 0.984 + 0.372, where the constant (a) is 0.984 and the coefficient of the independent variable (X) is 0.372. Once at GRDP = 0, then Community Revenue has a value of 0.984 and if GRDP (X) experiences a 1% increase, then Community Income (Y), will increase by 0.372 to 1.356 as well if GRDP is at 4% Community Revenue as much as 2.47%. This means that there is a relationship between GDP (X) and Community Income variable (Y) or rejecting the null hypothesis (H0) and accepting the alternative hypothesis (Ha) with a significant level of 0.05 or 5% where Sig. 0.05 or tcount ttable . (Sig. = 0.620 0.05, or 0.551 3.182) and the determinant coefficient of 9.2% or 9%.

scholarly journals Effect of Economic Growth on Poverty in Bima City

2020 ◽  
Vol 1 (2) ◽  
pp. 59-64
Author(s):  
Anggun Aisatun Zahroh ◽  
Puji Muniarty ◽  
Julaiha Julaiha
Keyword(s):  
Economic Growth ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
The Past ◽  
Comprehensive Picture ◽  
Independent Variable ◽  
The Impact ◽  
The Relationship ◽  
The City ◽  
Constant Prices

Natural disasters and inflation that occurred in the city of Bima caused economic growth to slow down and cause the impact of social inequality that causes poverty. This study aims to analyze the effect of independent variables on the dependent variable. The independent variable in this study is economic growth while the dependent variable is poverty in the City of Bima for the period 2012-2018. The sample in this study is economic growth in the form of GDRP data based on constant prices and poverty over the past 7 years, from 2012 to 2018. The data used in this study are in the form of a list of tables on economic growth in the form of GDRP based on constant prices and poverty during 7 years obtained from the Central Statistics Agency office in Bima City. The data used are secondary data and the method used is simple linear regression analysis, simple correlation coefficient, simple linear determination and t test (2 parties) using SPSS Version 21.0 to obtain a comprehensive picture of the relationship between one variable with another variable. The results showed that economic growth had no effect and was not significant on poverty in the Bima city.

Hypothesis testing with error correction models

2021 ◽  
pp. 1-9
Author(s):  
Patrick W. Kraft ◽  
Ellen M. Key ◽  
Matthew J. Lebo
Keyword(s):  
Hypothesis Testing ◽  
Error Correction ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Correction Coefficient ◽  
Correction Model ◽  
Long Run ◽  
Independent Variable ◽  
The Right ◽  
General Error

Abstract Grant and Lebo (2016) and Keele et al. (2016) clarify the conditions under which the popular general error correction model (GECM) can be used and interpreted easily: In a bivariate GECM the data must be integrated in order to rely on the error correction coefficient, $\alpha _1^\ast$ , to test cointegration and measure the rate of error correction between a single exogenous x and a dependent variable, y. Here we demonstrate that even if the data are all integrated, the test on $\alpha _1^\ast$ is misunderstood when there is more than a single independent variable. The null hypothesis is that there is no cointegration between y and any x but the correct alternative hypothesis is that y is cointegrated with at least one—but not necessarily more than one—of the x's. A significant $\alpha _1^\ast$ can occur when some I(1) regressors are not cointegrated and the equation is not balanced. Thus, the correct limiting distributions of the right-hand-side long-run coefficients may be unknown. We use simulations to demonstrate the problem and then discuss implications for applied examples.

scholarly journals USING SUBSTUTION DRILL TECHNIQUE TO IMPROVE STUDENTS’ PRONUNCIATION ABILITY

2014 ◽  
Vol 3 (2) ◽  
pp. 178
Author(s):  
Maharida Maharida
Keyword(s):  
Experimental Method ◽  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Good Classification ◽  
Tenth Grade ◽  
Post Test ◽  
Back Vowel ◽  
Independent Variable ◽  
The Mean ◽  
Teaching Pronunciation

This research aimed to find out the improvement of the students’ pronunciation ability by using Substitution Drill that focused on English Consonants which consisted of dental and palato alveolar consonants and English Vowel which consisted mid-front,mid-central and mid-back vowel. The researcher applied Pre-Experimental method with one group pretest-posttest design and collected the data by giving pre-test and post-test. The sample of the research was class X IPA of SMA Negeri 1 Galesong Selatan which consisted of 33 students. The sample was taken by using the purposive technique. The research variables were teaching pronunciation by using Substitution Drill as an independent variable and dependent variable were English Consonants and English Vowel. The result of the research showed that the tenth-grade students of SMA Negeri 1 Galesong Selatan had fair score in the pre-test. After treatment, their pronunciation ability significant improved. The result of the research was the mean score obtained by the students through pre-test was 5.77 which was classified as fair classification and the mean score of the students on the post-test was 7.32 which was classified as good classification and the value of t-test was greater than t-table (16.48 > 2.037). It indicated that the alternative hypothesis (H1) was accepted and the null hypothesis (H0) was rejected. It was concluded that the use of Substitution Drill was effective to improve the students’ pronunciation ability.Keywords: improvement, pronunciation, substitution drill, dental, palato alveolar

scholarly journals FENOMENA MIGRASI TENAGA KERJA DAN PERANNYA BAGI PEMBANGUNAN DAERAH ASAL: STUDI EMPIRIS DI KABUPATEN WONOGIRI

2009 ◽  
Vol 10 (1) ◽  
pp. 84
Author(s):  
Didit Purnomo
Keyword(s):  
Marital Status ◽  
Labor Migration ◽  
Linear Regression Analysis ◽  
Level Of Education ◽  
Independent Variables ◽  
Logistic Analysis ◽  
Regional Origin ◽  
Independent Variable ◽  
The Impact

This research analyzes (a) patterns of labor migration from Wonogiri Regency, (b) the impact of migration on the welfare level by taking into account the income level of migrant Wonogiri Regency, and (c) the role of migrants seen from homelands conditions. The results of binary logistic analysis showed that the variables age, education, and marital status, have a significant effect on intention nomads to settle in the overseas area. Based on survey findings in the field, 88.8 percent of Wonogiri nomads do not want to settle in the overseas regions. The economic analysis through linear regression analysis to explain the role of the nomads and the impact on the regional origin that shows only one independent variable that is used has a significant influence on the local nomads income overseas, namely: level of education, while the other independent variables are family dependents, ownership of property in the area of origin, length of stay in overseas, and marital status had no significant effect.

scholarly journals Research on the Correlation between Capitalized R&D Expenditure and Enterprise Performance ——Research Based on Statistical Analysis Tools

2021 ◽  
Vol 292 ◽  
pp. 02042
Author(s):  
Yajie Zhao
Keyword(s):  
Corporate Performance ◽  
Linear Regression Analysis ◽  
Value Added ◽  
Multiple Linear Regression Analysis ◽  
Point Of View ◽  
Enterprise Performance ◽  
Current Period ◽  
A Value ◽  
The Impact ◽  
Performance Research

Innovation is the source of power for the development of an enterprise. The enterprise aims to increase investment in research and development to maintain technological innovation capabilities, thereby enhancing its own competitive advantage. In order to explore the impact of capitalization intensity on corporate performance, this paper selects 2,829 Chinese non-financial listed companies from 2008 to 2020 as research samples, establishes a regression model of R&D expenditure capitalization intensity and corporate performance, and conducts multiple linear regression analysis. The research in this paper finds that the capitalization of R&D expenditure has both a value depreciation effect and a value appreciation effect. From the direct impact point of view, the accounting treatment of capitalization of R&D expenditure reduces the company’s “tax-saving” cash flow and affects the company’s internal resource allocation, thereby reducing the current financial performance; and from the perspective of future effects, capitalized R&D expenditure has passed to the market The signal of R&D “success”, the higher the degree of capitalization of R&D expenditure, the stronger the value-added ability of R&D expenditure in the current period and in the future period.

scholarly journals Pengaruh Latihan Multiball Terhadap Keterampilan Smash Forehand Tenis Meja Pada Club Pade Angen Mataram Tahun 2020

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Nurdin Nurdin ◽  
Aminullah Aminullah
Keyword(s):  
Data Analysis ◽  
Null Hypothesis ◽  
Sampling Technique ◽  
Problem Formulation ◽  
Table Tennis ◽  
A Value ◽  
External Variables ◽  
Independent Variable ◽  
The Right ◽  
Tennis Skills

The focus of the problem in this study is that this research is motivated by the low accuracy of the forehand smash. Table tennis at Club Pade Angen Mataram in 2020. The research objectives to be achieved based on the predetermined problem formulation are as follows: To find out the effect of multiball training on the smash forehand table tennis skills at Club Pade Angen Mataram in 2020. The research design in use is an experimental research "One-Group Pretest-posttest Design". This experiment still has external variables that influence the formation of the dependent variable. So the experimental results which are the dependent variable (bound) are not merely influenced by the independent variable (free). Table Tennis Forehand Drive Accuracy Instrument To make it easier to understand below is a picture of a table marking sign of two targets on the right side of the testicle, namely the area of 30cm x 30cm, both of which are 60cm x 60cm. . Table Sampling technique using a population study of 12 players. Based on data analysis, getting the t-count obtained a value of 10.30 then the t-table with degrees of magnitude N - 1 = 11 at a significant level of 5% shows a number that is 1.796. This result means that the t-count> t-table, namely (3.995> 1.796) or in other words the t-count obtained is greater than the limit of the rejection of the null hypothesis (Ho), it is necessary that the t-value is equal to or greater than the t value. -table.

scholarly journals Why Bayesian “Evidence for H1” in One Condition and Bayesian “Evidence for H0” in Another Condition Does Not Mean Good-Enough Bayesian Evidence for a Difference Between the Conditions

2020 ◽  
Vol 3 (3) ◽  
pp. 300-308
Author(s):  
Bence Palfi ◽  
Zoltan Dienes
Keyword(s):  
Null Hypothesis ◽  
Alternative Hypothesis ◽  
Bayes Factors ◽  
Sufficient Evidence ◽  
Frequentist Statistics ◽  
Shiny App ◽  
Bayesian Evidence ◽  
Independent Variable ◽  
Condition B

Psychologists are often interested in whether an independent variable has a different effect in condition A than in condition B. To test such a question, one needs to directly compare the effect of that variable in the two conditions (i.e., test the interaction). Yet many researchers tend to stop when they find a significant test in one condition and a nonsignificant test in the other condition, deeming this as sufficient evidence for a difference between the two conditions. In this Tutorial, we aim to raise awareness of this inferential mistake when Bayes factors are used with conventional cutoffs to draw conclusions. For instance, some researchers might falsely conclude that there must be good-enough evidence for the interaction if they find good-enough Bayesian evidence for the alternative hypothesis, H1, in condition A and good-enough Bayesian evidence for the null hypothesis, H0, in condition B. The case study we introduce highlights that ignoring the test of the interaction can lead to unjustified conclusions and demonstrates that the principle that any assertion about the existence of an interaction necessitates the direct comparison of the conditions is as true for Bayesian as it is for frequentist statistics. We provide an R script of the analyses of the case study and a Shiny app that can be used with a 2 × 2 design to develop intuitions on this issue, and we introduce a rule of thumb with which one can estimate the sample size one might need to have a well-powered design.

scholarly journals PENGARUH PENGELUARAN DANA PROGRAM KEMITRAAN USAHA DAN RELAWAN TERHADAP PENGHIMPUNAN DANA ZAKAT (Studi Lembaga Amil Zakat Baitulmaalku Karawang Periode 2017 - 2019)

2021 ◽  
Vol 6 (01) ◽  
pp. 40-46
Author(s):  
Muhammad Hamdan 'Ainulyaqin Hamdan ◽  
Hendro Lutin
Keyword(s):  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Financial Reports ◽  
Business Partnership ◽  
A Value ◽  
Independent Variable ◽  
Management Institutions ◽  
Partnership Program

The very positive potential of zakat in Indonesia triggers competition betweem many amil zakat institutions to gain muzakki‟s trust. In zakat management institutions the activities of collecting (fundraising) zakat funds are very important for amil zakat institutions to cary out institutional activities. This study aims to analyze the effect of business and volunteer partnership programs on the collectionbof zakat funds. Volunteer and business partnership program as an independent variable and zakat fund collection as the dependent variable. The object of research at the Baitulmaalku Karawang amil zakat intitute. The research method uses quantitative methods of data collection with secondary data in the form of financial reports. The subject of this research is the Baitulmaalku Karawang amil zakat institution. The number of samples is 36, the analysis method used is multiple linear regression analysis, classical assumption test, and hypothesis testing. The analysis results obtained partially, the business partnership program has a value of 4,214 and a significance value of 0,00 and volunteeers have a t value of 1,616 and a significance value of 1,16. simultaneously get the F value count 122,528 and a significance value of 0,00. The business partnership program has a positive and significant effect on the collection of zakat fund. Whilw volnteers do not have a positive and significant effect on the collection of zakat funds. Simultaneously partnership of business and volunteers affects the collection of zakat funds.

scholarly journals THE EFFECT OF INTERNAL AUDIT ON THE IMPLEMENTATION OF GOOD CORPORATE GOVERNANCE (GCG) IN PT. BANK XYZ IN SURABAYA

2019 ◽  
Vol 20 (1) ◽  
pp. 42-57
Author(s):  
R. Bima Satya Wiratama ◽  
Iga Aju Nitya Dharmani
Keyword(s):  
Alternative Hypothesis ◽  
Linear Regression Analysis ◽  
Internal Audit ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Significance Level ◽  
Good Corporate Governance ◽  
Internal Audit Function ◽  
Independent Variable

To improve the Bank's performance, protect the stakeholder’s needs, and improving compliance with the applicable laws and generally accepted ethical values ​​in the banking industry, the Bank should conduct its operations in GCG. One of them is the assessment of the GCG’s implementation between the Internal Audit function. The research aims to determine the Internal Audit’s role in the implementation of GCG. The variable of this research is the Internal Audit (X) as an independent variable, and then implementation of GCG (Y) as the dependent variable. The research is using a simple linear regression analysis techniques to test the hypothesis. The data used in this research is primary data, where it was obtained through questionnaires. The population is 25 respondents, which means that all respondents were sampled. Respondents came from the Internal Audit Unit of PT. Bank XYZ. The Results are showing the coefficient of Internal Audit (X) on the application of GCG is 11,088 with a significance level is 0,00 < 0,05. So the null hypothesis (Ho) is rejected and then the alternative hypothesis (Ha) is accepted. In other words, it has a significant influence. Results of the test determination using the formula coefficient of determination, Internal Audit influenced 84% of GCG implementation. The rest was influenced by other factors that aren't included in this research.

scholarly journals Impact of Taxes on Unemployment of Pakistan.

2019 ◽  
Vol 2 (4) ◽  
pp. 14-16
Author(s):  
Pooja Pohwani ◽  
Jawad Raza Khoso ◽  
Vinesh Kumar
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Labor Force ◽  
Linear Regression Analysis ◽  
Unemployment Rates ◽  
High Unemployment ◽  
Tax Revenues ◽  
Independent Variable ◽  
Impact Data ◽  
The Impact

This study focuses to find out the impact of taxes on unemployed labor force of Pakistan. Since Pakistan is among the countries which have high unemployment rates, this study is conducted to find whether taxes have an impact on unemployment of Pakistan or not. The independent variable of study includes tax revenues while the dependent variable includes unemployed labor force of Pakistan. To find out this impact, data on both the mentioned variables is collected for the period of 36 years that is from year 1980 to 2016-17. Results from Linear Regression Analysis shows that tax revenues have positive and significant impact on unemployed labor force of Pakistan, which means; with the increase in taxes the unemployment of Pakistan also increases.

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