Misconceptions in Descriptive Statistics Among Postgraduates in Social Sciences

Zaidan, Arinah; Ismail, Zaleha; Yusof, Yudariah Mohammad; Kashefi, Hamidreza

doi:10.1016/j.sbspro.2012.06.100

Cited by 18 publications

(18 citation statements)

References 5 publications

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“…Descriptive statistics are commonly used in research as a basis of analyses and interpretations to represent the results [42]. The results of this analysis showed that the NPV of both LCCs have an approximately normal distribution pattern for presenting asymmetry (0.1) and kurtosis (2.8), which are close to 0 and 3, respectively.…”

Section: Resultsmentioning

confidence: 87%

Multibody Dynamic Stress Simulation of Rigid-Flexible Shovel Crawler Shoes

Frimpong

Thiruvengadam

2016

Minerals

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Abstract:The uncertainty in road transportation of wood is inherent to its operational costs, to the amount of transported wood, to the traveled distance, to its revenue, and more. Although it is not possible to measure this uncertainty fully, it can be quantified by the investment risk, which is the probability and degree of financial loss. The objective of this study is to quantify the financial risk of the investment in wood transportation through Monte Carlo simulation, which uses realistic situations to estimate the operational cost of vehicles used for road transportation of wood. We quantify these uncertainties by assessing financial risk and building pseudorandom scenarios with the Monte Carlo simulation method, in addition to the Net Present Value techniques, the Modified Internal Rate of Return, and the Profitability Index, all commonly used in financial investment projects. The results show that the estimated operational costs are equivalent to the actual ones, along with the evidence that the cost of fuel, the driver's manpower, and tires are components that mainly increase the degree of financial risk for an investment project in road transportation of wood. In contrast, optimizing the amount of transported wood and maximizing wood transportation cost have a significant and positive correlation with the volume of transported wood and the average price of wood transportation, leading to a reduction in the degree of financial risk.

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Section: Resultsmentioning

confidence: 87%

Multibody Dynamic Stress Simulation of Rigid-Flexible Shovel Crawler Shoes

Frimpong

Thiruvengadam

2016

Minerals

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“…, 2007 ); this is true both at the undergraduate ( Gormally et al. , 2012 ) and postgraduate ( Zaidan et al. , 2012 ) level.…”

Section: Introductionmentioning

confidence: 87%

“…, 2007 ; Huck, 2009 ; Glazer, 2011 ; Karpiak, 2011 ; Gormally et al. , 2012 ; Zaidan et al. , 2012 ), 2) studied recent student exams and assignments, and 3) spoke to faculty members with expertise in statistical reasoning to compile a list of specific examples of non–expert-like thinking that were affecting undergraduate students.…”

Section: Methodsmentioning

confidence: 99%

Development of the Statistical Reasoning in Biology Concept Inventory (SRBCI)

Deane

Nomme

Jeffery

et al. 2016

LSE

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“…Studies related to statistical reasoning have been carried out extensively in other countries (Karatoprak, Karagöz & Börkan, 2014;Martin, 2013;Tempelaar, 2004;Ulusoy & Altay, 2017;Wang, Wang, & Chen, 2009) but in Malaysia, studies related to this field is progressively new in this decade. The current literature reveals that the level of Malaysian students' statistical reasoning is still poor and unsatisfactory (Chan & Ismail, 2013;Foo, Idris, Mohamed, & Foo, 2014;Ismail & Chan, 2015;"Misconceptions in Inferential Statistics", 2018;Zaidan et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Reliability and Validity Analysis of Statistical Reasoning Test Survey Instrument using the Rasch Measurement Model

Saidi

Siew

2019

Int Elect J Math Ed

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This study is an assessment of the reliability and validity analysis of Statistical Reasoning Test Survey (SRTS) instrument using the Rasch Measurement Model. The SRTS instrument was developed by the researchers to assess students' statistical reasoning in descriptive statistics among Tenth Grade science-stream students in rural schools. SRTS was a combination of a subjective test and an open-ended format questionnaire which contained of 12 items. The respondents' statistical reasoning was assessed based on these four constructs: Describing Data, Organizing Data, Representing Data and Analyzing and Interpreting Data. The sample comprised of 115 (76%) girls and 36 (24%) boys aged 15-16 years old from a rural district in Sabah, Malaysia. Overall, the SRTS instrument was found to have a high reliability with a Cronbach's alpha value (KR-20) of 0.81. Results also showed that SRTS has an excellent item reliability and high item separation value of 0.99 and 9.57 respectively. SRTS also has a good person reliability and person separation value of 0.81 and 2.04 respectively. Meanwhile, the validity of the SRTS instrument was appropriately established through the item fit, person fit, variable map, and unidimensionality. In conclusion, this study indicates that the SRTS is a reliable and valid instrument for measuring the statistical reasoning of science-stream students from rural secondary schools.

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Misconceptions in Descriptive Statistics Among Postgraduates in Social Sciences

Cited by 18 publications

References 5 publications

Multibody Dynamic Stress Simulation of Rigid-Flexible Shovel Crawler Shoes

Multibody Dynamic Stress Simulation of Rigid-Flexible Shovel Crawler Shoes

Development of the Statistical Reasoning in Biology Concept Inventory (SRBCI)

Reliability and Validity Analysis of Statistical Reasoning Test Survey Instrument using the Rasch Measurement Model

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