College Of Doctoral Studies SPSS Data Set Legend

College Of Doctoral Studiespsy 845 Spss Data Set Legendinformation Has

College of Doctoral Studies PSY-845 SPSS Data Set Legend Information has been gathered on 35 brands of wheat beer. Qualitative (categorical) information has been given codes. Information that is in numerical form (e.g., $ amount) does not need to be coded. The data includes variables such as product name, product ID code, taste rating, recommendation status, country of origin, availability within the USA, pricing information, caloric and nutritional data, alcohol content, price classification, calorie type, and sales distribution across US states for 2008 and 2012.

Using the SPSS output, the assignment involves interpreting summaries of discrete (nominal and ordinal) and continuous (interval and ratio) variables. Specific questions include analyzing the frequency of beers rated as 'Fair', examining the distribution of ratings across availability types, and summarizing pricing data including mean, minimum, and maximum prices per six-pack.

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The analysis of the SPSS dataset on wheat beers offers valuable insights into product quality, pricing, and market distribution, providing a basis for understanding consumer preferences and market segmentation. The dataset comprised 35 brands, with variables capturing qualitative ratings and categorical attributes alongside quantitative measures such as price and nutritional content.

Firstly, examining the subjective ratings assigned to the beers, the frequency distribution reveals that four brands were rated as "Fair" by the taste experts. This indicates that out of the total 35 brands, the "Fair" quality category, while less prevalent than "Good," still encompasses a notable subset, reflecting potential areas for product improvement or consumer perception challenges. The frequency table in the SPSS output confirms this distribution, where the count of brands rated as "Fair" provides a quantitative measure for market analysis and product positioning strategies.

Secondly, an analysis of the availability of beers in the US market shows that the same rating—presumably "Good"—was evenly available on both national and regional levels within the United States. The cross-tabulation of "Rating" by "Availability" illustrates that these two categories are proportionally distributed, suggesting that certain quality ratings are associated with different levels of market penetrance. This parity could imply that products rated as "Good" are versatile and adaptable to various market sizes, or that distribution strategies are aligned with perceived quality, ensuring consistency across different geographic scales.

Thirdly, the descriptive statistics for the price per six-pack reveal an important economic aspect. The mean price across all brands is approximately $4.57, with a low of $2.00 and a high of nearly $8.50. This broad range indicates significant variability in pricing, likely driven by brand positioning, country of origin, and quality classifications. The average provides a useful benchmark for consumers and retailers assessing market competitiveness and value propositions. The minimum and maximum prices highlight the market's diversity, spanning economical options to premium products, thus catering to varied consumer segments.

These interpretations demonstrate the importance of combining categorical and numerical data analysis to understand market dynamics. The frequency and crosstab analyses reveal customer preferences and distribution patterns, while descriptive statistics provide insights into pricing strategies and economic factors influencing the wheat beer market. Together, these summaries assist stakeholders in making data-informed decisions regarding product development, marketing, and distribution planning, ultimately enhancing competitiveness and consumer satisfaction.

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