This report provides a statistical analysis of the BORA (Brand Origin Recognition Accuracy) dataset using SPSS. The analysis begins with summarizing the characteristics of 100 survey respondents, including gender, age, and education level, using descriptive statistics such as mean, mode, and standard deviation. The report then summarizes the distribution of BORA_Country, BORA_UK, and BORA_non_UK figures. Inferential statistics, including one-way ANOVA and independent samples t-tests, are used to test hypotheses related to brand recognition accuracy based on respondent demographics. The ANOVA test examines the difference in recognition of UK and non-UK brands, while t-tests explore differences in recognition based on gender and age. The report concludes that there is no significant difference in brand recognition between males and females, but there is a significant difference between younger and older people. The report emphasizes the utility of SPSS for statistical analysis in economics.
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