Florida National Bank (FNB) operates branches in 65 cities and towns throughout Florida. The Bank offers range of financial services, including Visa and MasterCard credit cards. FNB has 62, 500 people in the state using its credit cards and based on certain application information, the bank has access to name, address, zip code, telephone number, income and assets. FNB wants to be able to more affectively target offerings sent through the mail, so the bank wants to determine if there is a relationship between the volume of purchases showed first 85 words of 1227 total
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showed last 85 words of 1227 total of the individual such as level of income or education. The target population is the 62500 people in the state using its credit cards. The sampling frame that can be used is the original application of each card holder; the applications provide significant information on the demographics. By using the cluster sampling method in this situation, information can be easily compiled by dividing the sampling units into clusters. The data will enable FNB to send offerings to those consumers that are more likely to utilize it.