Percentage of mean

The study investigates the attitudes and beliefs of pre-service teachers on home and school gardening as the basis for incorporating gardening activity in teacher education courses. Utilizing a descriptive research design, the data was gathered through a researcher-made survey and analyzed using various statistical methods such as percentage, mean, standard deviation, t-test for independent sample means, and Pearson r.

19p vialicene 02-07-2024 1 0   Download

The purpose of this study is to forecast the arrival of foreign tourists in Indonesia by using Artificial Neural Network and Holt-Winters approach esutilising the historical data from January 2011 to December 2017. From the calculation process, we found that MAPE (Mean Absolute Percentage Error) value of Artificial Neural Network and HoltWinters approaches are 5.60% and 5.43%, respectively. So it can be concluded that the HoltWinters approach is better than the Artificial Neural Network approaches in forecasting the foreign tourists arrival in Indonesia.

8p longtimenosee10 26-04-2024 1 1   Download

The purpose of this research is to find out the basic system in the supply chain, and the dynamic system of the brown sugar supply chain in Banyuwangi Regency. This research is a combination of explanatory research and causal research and uses a system dynamics approach by considering the GAP between supply and demand for local markets. Data analysis was performed using a dynamic system simulation using the powers program with a validation test through the calculation of Mean Absolute Percentage Error (MAPE).

7p longtimenosee04 06-03-2024 1 0   Download

This study sought to determine the work – related stress among healthcare workers in Ugep. Data were collected using primary and secondary source. 198 semi–structured questionnaires were designed/administered through purposive sampling. Data generated were analysed using descriptive statistics such as mean, percentages, and illustrative graphs.

12p vikissinger 21-12-2023 10 2   Download

In this paper, a short-term load forecasting model is proposed based on Long Short-Term Memory (LSTM) network combining linear regression algorithm and EVN-NLDC (National Load Dispatch Centre) data. Short-term load forecasting has an enormous impact on unit commitment, strategic power reserve for national power system and enhances the reliability of the power supply.

4p vijeff 01-12-2023 7 4   Download

This study develops and validates a short-term PV power forecasting model by using the combination of a genetic algorithm (GA) and Long Short Term Memory (LSTM). The performance of the proposed model is compared with LSTM baseline model by three errors (Root mean square error(RMSE), Mean absolute error (MAE), and Mean absolute percentage error (MAPE)) in two case studies.

6p vijeff 01-12-2023 4 3   Download

This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. The accuracy of the models was assessed using numerous performance indexes such as the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R2).

10p visharma 20-10-2023 3 3   Download

The learning objectives for this chapter include: Explain the concept of the normal curve; look for evidence of normally distributed data when you read research reports; read a frequency distribution and polygon; describe the differences among mean, median, and mode; explain how the standard deviation affects interpretation of the mean; accurately interpret tables that report data as frequencies and percentages.

13p haojiubujain04 27-07-2023 8 5   Download

Percentages of the grate (retained) and passed of the ground mineral are found for each sieve size by means of weight. The approximations of the retained and passed were calculated and found to intersect at 225 um. At the intersection, the percentage by weight passed through the sieve is 50 percent and the percentage by weight retained sieve is 50 percent, respectively.

15p vicedric 08-02-2023 5 3   Download

To compare an autoregressive integrated moving average (ARIMA) model with a model that combines ARIMA with the Elman recurrent neural network (ARIMA-ERNN) in predicting the incidence of pertussis in mainland China. Background: The incidence of pertussis has increased rapidly in mainland China since 2016, making the disease an increasing public health threat.

11p viferrari 28-11-2022 8 2   Download

The purpose of this study is to find out the export and import turnover of Vietnam in the future time when Vietnam joins as a part in the transactions of exchanging goods with other countries all over the world. The valuation of transporting products in the future from 2020 to 2023 will be predicted by grey forecasting method with the GM (1,1) model which bases on the historical time series during the period of 2012 to 2019.

8p alucardhellsing 04-05-2022 12 1   Download

The modernization of the world has considerably reduced the prime sources of energy such as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have been the main concentration nowadays to address the world’s energy demand as well as restrict global warming. Solar energy is the main source used to generate electricity through photovoltaic (PV) system. However, the output of PV power is normally intermittent.

4p vistephenhawking 26-04-2022 12 2   Download

This paper examined glutinous rice farming in households, as a food and for cultural security, and the extension services in areas producing glutinous rice. Data were collected from 400 local farmers based on interview schedules and statistical analysis using the percentage, arithmetic mean, and hypothesis testing with logistic regression.

7p guernsey 28-12-2021 14 0   Download

This study compares the price predictions of the Vanguard real estate exchangetraded fund (ETF) (VNQ) using the back propagation neural network (BPNN) and autoregressive integrated moving average (ARIMA) models. The input variables for BPNN include the past 3-day closing prices, daily trading volume, MA5, MA20, the S&P 500 index, the United States (US) dollar index, volatility index, 5-year treasury yields, and 10-year treasury yields. In addition, variable reduction is based on multiple linear regression (MLR).

16p mynguyenha 21-07-2021 18 1   Download

This paper presents a new approach by combining Holt-Winters and Walk-Forward Validation methodology to forecast the maximum power demand for Ho Chi Minh City, Vietnam. The data is divided into the training and test sets in many cases. The forecast accuracy of the mean absolute error (MAE) and the mean absolute percentage error (MAPE) are used to analyze the characteristic of forecast for each day of the week.

10p tunelove 12-06-2021 16 1   Download

The study is hospital-based and descriptive cross-sectional study. A two stage sampling method was used to select the 250 respondents and data collected using pretested questionnaires and analyzed with SPSS version 20.0. Quantitative variables were summarized using mean and standard deviation and categorical variables with frequencies and percentages.

15p nguaconbaynhay12 08-06-2021 10 1   Download

This paper presents a method in place of reducing surplus parts based on shifting the mean dimensional values and then grouping the mating parts based on their dimension tolerance and assembly characteristic. Examination case study of piston-cylinder assembly shows that by implementing this method, the percentage of surplus parts is reduced considerably (from 40.65% and 26.18% to 2.63%) and the clearance variation is minimized in comparison with the traditional ones. This method can be applied to manufacture and assemble products with high accuracy.

15p cothumenhmong11 05-05-2021 15 1   Download

The purpose of this paper is to forecast monthly gasoline prices in Jordan by applying Gaussian process regression on monthly prices of two types of gasoline (octane-90 and octane-95) during the period January 2008–December 2019. Accurately predicting gasoline prices have several fiscal policy implications concerning fuel subsidies and taxes. Also, they affect the consumption and the production of decisions. Moreover, they are crucial for designing and analyzing environmental policies.

8p caygaocaolon11 18-04-2021 10 1   Download

Quantitative computed tomography (CT) analysis has been proposed as a means of objectively assessing fibrotic interstitial pneumonia (IP) including idiopathic pulmonary fibrosis (IPF). We investigated whether percentages of high-attenuation areas (HAA%) and cystic areas (CA%) quantified from CT images were useful as indices of fibrotic IP.

10p vimontana2711 05-04-2021 10 1   Download

These characters may be proved as effective criteria for selection to improve seed yield in pearl millet whereas high heritability values with moderate genetic advance as percentage of mean were observed for days to maturity and protein content.

6p chauchaungayxua10 19-03-2021 18 2   Download