Stat decision starter kit (SDSK) v1.0: statistical analysis decision making / Nurul Bariyah Ibrahim ... [et al.]

• Main Authors: Ibrahim, Nurul Bariyah, Mohamed Zukri, Shamsunarnie, Hamzah, Nor Hazreeni, Mohd Fauzi, Noor Zafarina, Ibrahim, Nur Safwati, Jauhari, Nur Elini
• Format: Book Section
• Language: English
• Published: Universiti Teknologi MARA, Kedah 2023
• Subjects: Educational technology; Learning. Learning strategies; Learning ability
• Online Access: https://ir.uitm.edu.my/id/eprint/83515/1/83515.pdf; https://ir.uitm.edu.my/id/eprint/83515/

Recently, statistics approaches become more popular because most of the decisions are based on the statistical analysis that are provided by a statistician as a decision maker. An exactly selected statistical analysis will generate a good decision making. However, not all the researchers have enough knowledge on how to choose the appropriate statistical analysis in the certain kinds of the data especially the beginners. Statistical analysis aids can assist and lead the researchers to conduct a valid and choosing the correct analysis because this tool perhaps can eliminate or at least reduce analysis errors. Later, the researchers can confidently make decision for their future research. Hence, a statistical application called SDSK v1.0 was created and built using lonic Framework software by dint of these reasons. This application was released in the Google Play Store, and this innovation will be extremely beneficial to beginners, particularly in terms of cost and time savings. SDSK v1.0 is fitted with particular features that will assist the user, allowing the user to easily recognize the relevant statistical analysis. Aside from that, the user can utilize the application in a wide range of scenarios with little statistical knowledge. In conclusion, since SDSK v1.0 can be access easily anywhere, it will allow and assists the decision makers to identify the appropriate descriptive statistics, representing the data into the graphical illustration and make a correct decision on the appropriate statistical test to be used in the analysis.