scholarly journals Determination of factors involved in the rejection of bananas (Musa acuminata) intended for international commercialization

2020 ◽  
Vol 1 (1) ◽  
pp. 48-53
Author(s):  
Jesus R. Melendez ◽  
Alberto Peñalver ◽  
Paola Pincay Figueroa ◽  
Nelly L. Pulgar ◽  
Mayra Cayo
Keyword(s):  
Null Hypothesis ◽  
Business Models ◽  
Management Practices ◽  
Abiotic Factors ◽  
Musa Acuminata ◽  
P Value ◽  
Sustainable Business ◽  
Significance Level ◽  
Export Sector ◽  
Export System

Rendering production and trade more sustainable can be accomplished via promoting innovation and sustainable business models. This paper addresses sustainable production and international trade in the banana agro-export sector of Ecuador. This activity provides millions of dollars in income, but with this development, a series of quality standards have been established to enter the competitive export system. These criteria contributed to establishing good post-harvest production and management practices that guarantee optimal banana and plantain production. The objective of this study is to determine the factors involved in the rejection of bananas (Musa acuminata) intended for international commercialization. Our methodology considered the design modality of non-experimental transactional research, using a quantitative approach. Methodological design was developed in three phases at Finca 6 Hermanas, located in the Barraganete sector of the San Juan parish in the Puebloviejo canton of the Los Ríos Province, Ecuador. Results highlight that 79.55 % of reasons for banana rejection are abiotic factors (damage, dry latex, scar, insect damage, broken neck, and overgrowth), while biotic factors ( twins, diseases, and short finger) cause 20.45%. Over the 6-week duration of our investigation the average rejection was 6,361 fingers and 1,269 kg. The analysis of variance turned out to be significant for variable 1 (biotic and abiotic). In this case the null hypothesis (Ho) is rejected; with the criterion of p-value < 0.0001 and F (9; 45) = 2.10., F = 13.17> F critical. For variable (2) “work weeks”, Ho is accepted for p-value of 0.7694 and F (5; 45) = 2.4. As F = 0.51 < F critical, one can conclude, that with a significance level of 5% the null hypothesis is accepted. It is also established that these figures enable strategies that systemically mitigate the damages via correcting the causes that lead to the deterioration of banana and, by this, increase the economic gains of commercialization.

Determination of factors involved in the rejection of bananas (Musa acuminata) intended for international commercialization

2020 ◽  
Keyword(s):  
Management Practices ◽  
Abiotic Factors ◽  
Quality Standards ◽  
Musa Acuminata ◽  
P Value ◽  
Biotic Factors ◽  
Significance Level ◽  
Export Sector ◽  
Export System

The banana agro-export sector in Ecuador provides millions of dollars in income for this concept, but with this development, a series of quality standards have been established that must be met to enter the export system. This has contributed to establishing good post-harvest production and management practices that guarantee the optimal production of bananas and plantains. The objective of this study was to determine the factors involved in the rejection of bananas (Musa acuminata) destined for international commercialization. The methodology considered the design modality of non-experimental transactional research, with a quantitative approach. The methodological design was developed in three phases at Finca 6 Hermanas located in the Barraganete sector of the San Juan parish in the Puebloviejo canton of the Los Ríos Province, Ecuador. The results highlight that the main causes for which banana rejection is generated are due to abiotic factors (damage, dry latex, scar, insect damage, broken neck, overgrowth) in a higher percentage of 79.55 % and biotic factors ( twins, diseases, short finger) by 20.45 %. The average rejection was 6 361 fingers and1 269 Kilograms (K) over the 6-week study duration. The analysis of variance turned out to be significant for variable 1 (biotic and abiotic). Ho is rejected; with the criterion of p-value < 0.0001 and F (9; 45) = 2.10., F = 13.17> F critic. In the case of variable (2) “work weeks”, Ho is accepted with the criteria obtained of p-value of 0.7694 and F (5; 45) = 2.4., As F = 0.51 < F critic, it is concludes, that with a significance level of 5% the null hypothesis is accepted. It is concluded that these figures lead to the elaboration of strategies that systemically mitigate the damages, by correcting each one of the causes that cause the deterioration of the banana and increasing the economic gains of the commercialization process.

scholarly journals Does the P Value Have a Future in Plant Pathology?

2015 ◽  
Vol 105 (11) ◽  
pp. 1400-1407 ◽  
Author(s):  
L. V. Madden ◽  
D. A. Shah ◽  
P. D. Esker
Keyword(s):  
Data Analysis ◽  
Null Hypothesis ◽  
Posterior Probability ◽  
Prior Probability ◽  
Statistical Significance ◽  
Statistical Testing ◽  
P Value ◽  
Significance Level ◽  
Continued Use ◽  
Null Hypothesis Statistical Testing

The P value (significance level) is possibly the mostly widely used, and also misused, quantity in data analysis. P has been heavily criticized on philosophical and theoretical grounds, especially from a Bayesian perspective. In contrast, a properly interpreted P has been strongly defended as a measure of evidence against the null hypothesis, H0. We discuss the meaning of P and null-hypothesis statistical testing, and present some key arguments concerning their use. P is the probability of observing data as extreme as, or more extreme than, the data actually observed, conditional on H0 being true. However, P is often mistakenly equated with the posterior probability that H0 is true conditional on the data, which can lead to exaggerated claims about the effect of a treatment, experimental factor or interaction. Fortunately, a lower bound for the posterior probability of H0 can be approximated using P and the prior probability that H0 is true. When one is completely uncertain about the truth of H0 before an experiment (i.e., when the prior probability of H0 is 0.5), the posterior probability of H0 is much higher than P, which means that one needs P values lower than typically accepted for statistical significance (e.g., P = 0.05) for strong evidence against H0. When properly interpreted, we support the continued use of P as one component of a data analysis that emphasizes data visualization and estimation of effect sizes (treatment effects).

scholarly journals Fishbowl Technique towards the Students’ Speaking Skill

2020 ◽  
Vol 7 (1) ◽  
pp. 35-42
Author(s):  
Raisa Anakotta ◽  
Nursalim Nursalim ◽  
Reka Judahida Latuheru
Keyword(s):  
Experimental Design ◽  
Null Hypothesis ◽  
Quantitative Research ◽  
P Value ◽  
Significance Level ◽  
T Score ◽  
Tenth Grade ◽  
Speaking Skill ◽  
Design Type ◽  
The One

The objective of this research is to describe whether or not fishbowl technique can improve students’ speaking of tenth grade of IPS 1 in SMA N 2 Sorong Regency. In this study, the researcher conducted the quantitative research using the method pre-experimental design type of the one group pre-test. Therefore, the researcher took 30 students as the sample from the population. The researcher used SPSS Analysis Version 20.0, the researcher gave the interpretation   towards “t” score by comparing t-value with t-table. The researcher interpretation that t-value is 3.048 with the significance value is 0.05. The score of t-table is 2.045 with the significance level of 0.05 with df 29. P-value is 0.0005 < 0.05, it is known that t-value > t-table ( 3.048  >  2.045 ). Meanwhile, the alternative (H1) is accepted and null hypothesis (Ho) is rejected. It means that using fishbowl technique can improve students speaking skill at the tenth of SMAN 2 Sorong Regency. But this technique is not effective towards students’ speaking skill, because it is not achieve score of KKM that is > 68.

scholarly journals Service Sector as an Engine of Growth: Empirical Analysis of Rwanda

2021 ◽  
Vol 7 (2) ◽  
pp. 47
Author(s):  
Jean Bosco Harelimana ◽  
Beline Mukarwego
Keyword(s):  
Empirical Analysis ◽  
Null Hypothesis ◽  
Service Sector ◽  
Phillips Curve ◽  
P Value ◽  
Chi Square ◽  
Significance Level ◽  
Cointegrating Vector ◽  
Long Run ◽  
Level Of Significance

This research was econometrically analyzing Service sector as an engine of growth: empirical analysis of Rwanda from 1995 to 2020. The data were collected from BNR and were analyzed using Eviews7. The study used different opinions of economists concerning the Philips curve, by constructing short-term and long-term Philips curves in Rwanda by making some conclusions about the results at the end. We pay special attention in our research to the study of Phillips curve made by some economists of the last period the findings of this study indicate the following results: *, ** and *** indicates rejection of the null hypothesis of unit root at 10, 5% and 1% significant level, respectively. The SERV, FDI, LR, GR series are not stationary at level, and then we should test the Stationarity at the first difference. (*), (**) & (***) represent respectively 10%, 5% and 1% level of significance.The results give an indication for the existence of long-run relationship between SERV and growth. The max and trace values statistic strongly reject the null hypothesis for “none “cointegration vector in favor of at least one cointegrating vectors at the 1 percent significance level. The cointegrating vector representing the long run relationship between service and growth. The above is endogenous because its probability of chi-square 0.000025 is less than 5% level of significance and it answers the second hypothesis of a Variable that can help national bank of Rwanda to control money supply in the short-run.The P- value of chi-square which is 0.0791 and this is greater than 0, 05 level of significant therefore, there is no short run causality between variables running from SERV, FDI, LR and GR at 5% level of significant. The results revealed out from the above table; LSERV, LFDI, LLR and LGR does Granger Cause LSERV at 10% level of significant due to their probability of 0.0284 which is less than 0.10 level of significance but LSERV does not Granger Cause LSERV, LFDI, LLR and LGR at 10% level of significant due to their probability of 0.1224 which is greater than 0.10 level of significance.

scholarly journals Quality Management Practices and Competitiveness of Manufacturing Firms in Nairobi

2020 ◽  
Vol 4 (1) ◽  
pp. 27
Author(s):  
Jacqueline Wangui Muiruri ◽  
Dr. Magutu Obara Peterson
Keyword(s):  
Quality Management ◽  
Management Practices ◽  
Research Study ◽  
Manufacturing Firms ◽  
P Value ◽  
Significance Level ◽  
Quality Management Practices ◽  
Adoption And Implementation ◽  
Operational Activities ◽  
Strategic Quality Management

Purpose: The main objective of this study was to establish the influence of quality management practices on competitiveness of manufacturing firms in Nairobi.Methodology: The research adopted a descriptive survey research design in trying to focus on manufacturing firms operating in Nairobi. This study used the list of manufacturing firms in Nairobi as provided in the KAM directory that showed a total of 499 manufacturing firms operating in Nairobi. The research study used stratified random sampling. The sample size of the research study was 50 manufacturing firms. The data was collected by use of structured questionnaires. It was done from operations managers, quality assurance managers and supply chain managers or their equivalents since they were deemed to be well versed and had good understanding of strategic quality management practices and operational activities of manufacturing firms. The information from the analysis was presented by use of pie charts, graphs, bar charts and tables to search for any correlation between strategic quality management practices and firms’ competitiveness.Results and conclusion: The results revealed that bench marking and competitiveness were positively and significantly correlated (r=0.578, p=0.000). The results further showed that continuous improvement and competitiveness were positively and significantly related (r=0.620, p=0.000). It was additionally verified that supplier partnering and competitiveness were positively and significantly related (r=0.510, p=0.000). Equally, the results showed that six sigma and competitiveness were positively and significantly related (r=0.529, p=0.000). Finally, the results revealed that quality management practices and competitiveness were positively and significantly related (r=0.642, p=0.000). The results indicated that the overall model was statistically significant. Further, the results imply that the independent variables are good predictors of firm competitiveness. This was reinforced by an F statistic of 21.769 and the reported p value (0.000) which was less than the conventional probability of 0.05 significance level. Policy recommendation: The author recommended that manufacturing firms should institute and involve the support of strategic leadership to monitor the adoption and implementation of quality management practices as a way of improving their competitiveness in their respective industries. Further, firms should come up with as many benchmarking approaches and to also hold several of them so as to increase on adoption of effective mechanism that makes firms more competitive

scholarly journals Quality Management Practices and Competitiveness of Manufacturing Firms in Nairobi

2020 ◽  
Vol 4 (1) ◽  
pp. 27-45
Author(s):  
Jacqueline Wangui Muiruri ◽  
Dr. Magutu Obara Peterson
Keyword(s):  
Quality Management ◽  
Management Practices ◽  
Research Study ◽  
Manufacturing Firms ◽  
P Value ◽  
Significance Level ◽  
Quality Management Practices ◽  
Adoption And Implementation ◽  
Operational Activities ◽  
Strategic Quality Management

Purpose: The main objective of this study was to establish the influence of quality management practices on competitiveness of manufacturing firms in Nairobi.Methodology: The research adopted a descriptive survey research design in trying to focus on manufacturing firms operating in Nairobi. This study used the list of manufacturing firms in Nairobi as provided in the KAM directory that showed a total of 499 manufacturing firms operating in Nairobi. The research study used stratified random sampling. The sample size of the research study was 50 manufacturing firms. The data was collected by use of structured questionnaires. It was done from operations managers, quality assurance managers and supply chain managers or their equivalents since they were deemed to be well versed and had good understanding of strategic quality management practices and operational activities of manufacturing firms. The information from the analysis was presented by use of pie charts, graphs, bar charts and tables to search for any correlation between strategic quality management practices and firms’ competitiveness.Results and conclusion: The results revealed that bench marking and competitiveness were positively and significantly correlated (r=0.578, p=0.000). The results further showed that continuous improvement and competitiveness were positively and significantly related (r=0.620, p=0.000). It was additionally verified that supplier partnering and competitiveness were positively and significantly related (r=0.510, p=0.000). Equally, the results showed that six sigma and competitiveness were positively and significantly related (r=0.529, p=0.000). Finally, the results revealed that quality management practices and competitiveness were positively and significantly related (r=0.642, p=0.000). The results indicated that the overall model was statistically significant. Further, the results imply that the independent variables are good predictors of firm competitiveness. This was reinforced by an F statistic of 21.769 and the reported p value (0.000) which was less than the conventional probability of 0.05 significance level. Policy recommendation: The author recommended that manufacturing firms should institute and involve the support of strategic leadership to monitor the adoption and implementation of quality management practices as a way of improving their competitiveness in their respective industries. Further, firms should come up with as many benchmarking approaches and to also hold several of them so as to increase on adoption of effective mechanism that makes firms more competitive

Maternal Knowledge Factor, Maternal Age and Maternal Parity Associated with Genesis of Normal Delivery at Palembang Hospital of Bari Year 2017

2018 ◽  
Vol 1 (1) ◽  
pp. 43-50
Author(s):  
Juliana Widyastuti Wahyuningsih
Keyword(s):  
Maternal Age ◽  
World Health ◽  
Survey Method ◽  
P Value ◽  
Maternal Knowledge ◽  
Cross Sectional ◽  
Normal Delivery ◽  
Significance Level ◽  
Birth Canal ◽  
Maternal Parity

Childbirthis a processLabor of opening and depleting the cervix and the fetus down into the birth canal. Birth is a process in which the fetus and amniotic are pushed out through the birth canal. (Sarwono, 2008). According to the World Health Organization (WHO) estimates more than 585,000 mothers annually die during pregnancy or childbirth. Indonesia Health Demographic Survey (SDKI) Survey in 2012, Maternal Mortality Rate in Indonesia is still high at 359 per 100,000 live births. The purpose of this study is the knowledge of maternal knowledge, maternal age, and maternal parity associated with normal birth events at Palembang Bari Hospital 2017. This study used analytical survey method with cross sectional approach. The population in this study were all maternal mothers at the Palembang Bari Hospital in 2017. Sampling in the study was conducted non-randomly with the technique of "Accidental Sampling". Data analysis was done univariat and bivariate with Chi-Square statistical test with significance level α = 0,05. The result of this research shows that there is correlation between mother's knowledge with normal delivery incidence with p value 0,001, there is correlation between mother age with normal delivery incidence with p value 0,009, there is relation between mother parity with normal delivery incidence with p value 0,001. From result of this research hopes healthcare workers can improve normal delivery care services and more often to carry out maternal safety counseling.

Hubungan Religiusitas dengan Citra Tubuh pada Wanita Dewasa Awal

2018 ◽  
Vol 1 (1) ◽  
pp. 9-28
Author(s):  
Dessy Sumanty ◽  
Deden Sudirman ◽  
Diah Puspasari
Keyword(s):  
Body Image ◽  
Correlation Coefficient ◽  
Research Design ◽  
Calculation Result ◽  
The Body ◽  
Statistical Testing ◽  
P Value ◽  
Significance Level ◽  
Correlational Research

This research attempts to relate the body image phenomenon with the level of subject religiosity. This research used correlational research design that was involving 332 respondents. The statistical testing which is used to test the hypothesis Rank Spearman. The calculation result with the significance level of trust 95% (a = 0.05) show that the correlation coefficient is 0.083 and p-value is 0.129. It means that Ho is accepted and H1 is rejected. It can be concluded that there is no relationship between religiosity with body image.

Burden of Care Among Mothers Having Children with Congenital Heart Diseases

2020 ◽  
Vol 40 (2) ◽  
pp. 72-77
Author(s):  
Nita Sharma ◽  
Pratima Sharma ◽  
Tulashi Adhikari Mishra
Keyword(s):  
Heart Disease ◽  
Congenital Heart ◽  
Heart Diseases ◽  
Sampling Technique ◽  
Structured Interview ◽  
Health Condition ◽  
P Value ◽  
Burden Of Care ◽  
Cross Sectional ◽  
Significance Level

Introduction: Congenital Heart Disease (CHD) is a problem with structure and function of the heart that is present at birth.  Children with CHD require special care, treatment and follow up for a number of common conditions which may be quite straining to the care givers. The objective of the study was to find out the burden of care among mothers having children with CHD. Methods: This descriptive cross-sectional study was carried out in a cardiac centre of Nepal. A total of 95 mothers having children with CHD attending outpatient department of our institute were selected as the sample for the study using non-probability purposive sampling technique. A semi structured interview questionnaire consisting of the Modified Caregiver Strain Index was used to assess the burden of care among mothers having children with CHD. Frequency and percent were used to describe the variables and chi- square test at 0.05 significance level was used to analyse associations. Results: Most (77.9%) of the mothers were regularly strained to find that their children’s health condition was deteriorating due to CHD. Nearly half (44.2%) of the mothers always had financial constrain while giving care to the child, nearly half (40%) of the mothers had done emotional adjustments to take care of their children with CHD, another two-fifths (28.4%) of the mothers sometimes had disturbed sleep and almost half (46.3%) of the mothers were always upset due to some behaviour of their child with CHD. Half (50.5%) of the mothers had high level of burden of care. Statistically significant association were found between age of the mother and level of burden of care (p value = 0.05). Similarly, the type of family (p value = 0.005), age of the children (p value = 0.000) and type of CHD (p value = 0.002) were significantly associated with the level of burden of care among the mothers. Conclusion: The study concluded that mothers tend to feel less burden of care as the child grows older, mothers having children with cyanotic heart disease tend to experience more burden of care. Mothers of less than thirty years of age and living in a joint family also experience more burden of care.  

Sign in / Sign up

Export Citation Format

Share Document