“…To equip with the proper ability to process statistical data and information, students need to have more training on statistical applications that collect, organize, analyze and interpret data (Idris, 2018;Vlach & DeBrock, 2019). Statistics can be used in different fields including business, psychology, education and healthcare.…”
This paper discusses various types of misleading statistical information in marketing promotion and explains why it is harmful for customers. The paper also studies the customers’ attitudes to such misinformation and capabilities of managing it. A survey was used to collect data from 210 respondents’ attitudes to analyzing data when purchasing products and 2) studied whether these respondents could properly evaluate such information found in promotional messages. The respondents were students in a university and they were supposed to have sufficient mathematical and logical capabilities of managing statisical information. Respondents showed positive attitudes to data investigation involved in the purchase decision although they lacked the relevant knowledge to process the misleading statisical information. In general, they might not make correct decisions in various deceptive situations. Relevant product information is usually necessary for customers when they have to consider and buy important products. Statistical information can support objective decision making but the misleading one is harmful for customers. More statistical knowledge and other relevant skills are required to enhance the ability of processing misleading information in marketing promotion. The paper suggests a number ways to acquire such knowledge and skills.
“…To equip with the proper ability to process statistical data and information, students need to have more training on statistical applications that collect, organize, analyze and interpret data (Idris, 2018;Vlach & DeBrock, 2019). Statistics can be used in different fields including business, psychology, education and healthcare.…”
This paper discusses various types of misleading statistical information in marketing promotion and explains why it is harmful for customers. The paper also studies the customers’ attitudes to such misinformation and capabilities of managing it. A survey was used to collect data from 210 respondents’ attitudes to analyzing data when purchasing products and 2) studied whether these respondents could properly evaluate such information found in promotional messages. The respondents were students in a university and they were supposed to have sufficient mathematical and logical capabilities of managing statisical information. Respondents showed positive attitudes to data investigation involved in the purchase decision although they lacked the relevant knowledge to process the misleading statisical information. In general, they might not make correct decisions in various deceptive situations. Relevant product information is usually necessary for customers when they have to consider and buy important products. Statistical information can support objective decision making but the misleading one is harmful for customers. More statistical knowledge and other relevant skills are required to enhance the ability of processing misleading information in marketing promotion. The paper suggests a number ways to acquire such knowledge and skills.
“…Learner's meanings of statistical terms. Making connections to the students' prior experiences in statistical concepts (e.g., Hiedemann & Jones, 2010;Wiberg, 2009) has been suggested when designing learning materials for college statistics (Idris, 2018). More specifically, making connections among students' prior understanding of the terms and the specialized meanings in text would be helpful for students (Berenson, 1997).…”
Section: Linguistic Meanings Of Statistical Termsmentioning
This article develops an analytical framework for analysing college (tertiary) statistics textbooks in terms of text accessibility by integrating the text, the reader, and the content into the framework. Five accessibility attributes of science texts were adapted to conceptualize the accessibility of statistics texts. For each accessibility attribute, two components were proposed by referring to the literature on the readability of mathematics texts as well as the characteristics of statistics. The feasibility of the framework is demonstrated by analysing sample statistics texts. The contributions and potential of the framework are discussed.
“…Computer literacy, statistical logic, statistical thinking and the skill of mastering statistical procedures are prerequisites for research activities that are a condition for professional development, innovation of the teaching process and improvement of educational practice (Fullan, 1993). Research practice and statistical education imply theoretical knowledge and practical knowledge important for the selection and application of appropriate statistical procedures in research, as well as the presentation of results (Idris, 2018;Godino et al, 2008;Tishkovskaya & Lancaster, 2012). The desire for students to become acquainted with statistical thinking has led to the recent rise of research in statistical education.…”
Acquiring statistical education is a prerequisite for the professional and scientific work of every pedagogue. Institutional support for the statistical education of students is a fundamental starting point in the development of research competencies necessary for a future pedagogue. The subject of this study was focused on examining the effectiveness of the application of a program for statistical data processing in teaching. The research aimed to examine whether students gained adequate knowledge in the field of Statistics in Pedagogical Research by applying the experimental factor SPSS in teaching. This means that the use of the SPSS program may significantly facilitate the acquisition of theoretical and practical knowledge pertaining to the field of statistics in pedagogical researches. The objective was to analyze whether using the SPSS software as part of university education would yield better knowledge of statistics than teaching without it. This objective was accomplished by analyzing the differences in the respondents’ scores on the knowledge test using the pre-test and the post-test groups of students. Three generations of pedagogy students at the Faculty of Philosophy, the University of Nis in Serbia, participated in the experimental research. The results showed statistically significant differences in the participants’ achievement in the initial and final tests.
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