Three Hundred Consumers Between 21 And 49 Years Old Were Randomly Sele Three hundred consumers between 21 and 49 years old were randomly selected. After sampling a new wine cooler, each was asked to rate the appeal of the phrase: "Not sweet like wine coolers, not filling like beer, and more refreshing than wine or mixed drinks" as it relates to the new wine cooler. The rating was made on a scale from 1 to 5, with 5 representing "extremely appealing" and 1 representing "not at all appealing". As a manager overseeing the development of the concept, you bottle the wine cooler and placed it into distribution in one test store. Your manager has asked you to assess the data and determine the most likely customer based on the ratings. Additionally, your manager would like you to review sales in the test store. Use the Week 3 Data Set to create and calculate the following in Excel®: Estimate the probability that a randomly selected 21 to 49-year-old consumer:
Paper For Above instruction Introduction Understanding consumer preferences is critical for product success, especially in the competitive beverage industry. This analysis leverages a dataset of 300 consumers aged 21-49 to assess their perceptions of a new wine cooler, focusing on ratings and purchasing behavior. The goal is to identify the most probable customer segments and evaluate sales distribution to tailor marketing strategies effectively. Analysis of Consumer Ratings The first step involves calculating the probability that a randomly selected consumer within the age range rates the phrase as highly appealing or moderately appealing. Specifically, the probabilities of a rating of 5 and of a rating of 3 or higher are analyzed. Using the data, we determine that the number of consumers who rated the phrase a 5 is X. The probability P(rating = 5) is then calculated as X/300. Similarly, the number of consumers who gave a rating of 3 or higher (ratings 3, 4, or 5) is Y, and P(rating ≥ 3) = Y/300. Next, we examine the demographic distribution, specifically the likelihood that a consumer is in the 21-24 age group, based on frequency data, and then refine this to assess the chances of a male who gives a rating of 4, and a 35-49 year-old consumer who rates the phrase as 1. These probabilistic assessments help identify primary target groups. Target Demographic Identification