CASE STUDIES CASE 1: Pelican Stores Pelican Stores‚ a division of National Clothing‚ is a chain of women’s apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stares. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file named Pelican Stores. Table 2.17 shows a portion of the data
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Analysis of Data: Pelican Stores; National Clothing With the given data‚ it is feasible to find numerous comparisons and correlations in the within the numbers given. The most relevant data to the given case refers to the type of customer (whether or not the customer used the promotional coupon) as well as the number of purchases made using the various forms of payment mentioned within the data table. As the Case Problem introduction stated‚ there were 100 sales included in the data set‚ using
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Memorandum To: Pelican Stores Management From: Ashley N. Earl Date: September 10‚ 2007 Re: July Coupon Promotion Results – Specific Descriptive Statistics Coupon Promotion Results As a follow up to my previous memorandum‚ I have prepared specific descriptive statistics regarding the results of the previous coupon promotion period throughout the month of July. These descriptive statistics such as the relationship between net sales and descriptive statistics on net sales by
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Case 1: Pelican Stores Pelican stores‚ a division of National Clothing‚ is a chain of women’s apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stores. Data collected for sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file named “data pelican stores. The propriety card method of payment refers to charges
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Pelican Stores Course : Probability and Statistics Member : Sonsoem‚ Nattima Saldivar‚ Penelope Rice‚ Leslie Managerial Report 1. Percent frequency distribution for key variables. Frequency for Net Sales Maximum 287.59 Minimum 31.60 Range 255.99 # of Classes 6 Calc Width 42.665 Frequency for Type of Customer Status Freq Rel. Freq Regular 30 0.3 Promotional 70 0.7 Total 100 1 Frequency for Method of Payment AmEx 2 0.02 Discover 4 0.04 Mastercard 14 0.14 Visa 10 0.1 Proprietary Card
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To: Pelican Stores Management From: Michael Pitz Date: February 12‚ 2012 Subject: Pelican Stores Coupon Promotion Results Coupon Promotion Results I have prepared specific descriptive statistics regarding the results from the coupon promotion day. These descriptive statistics such as the relationship between net sales and descriptive statistics on net sales by various classifications of customers‚ as well as the descriptive statistics concerning the relationship between age and net sales can
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Chapter 4 Descriptive Statistics Upload the completed assignment using the file extension format Lastname_Firstname_Week3.doc. Assignment (32 points due by 11 pm October 14th) 1) The file ‘FastFood’ contains the amount that a sample of nine customers spent for lunch (in $) at a fast food restaurant. a) Compute the mean and the median. b) Compute the variance‚ standard deviation‚ range‚ and co-efficient of variation. c) Are the data skewed? If so‚ how? 2) The file ‘ChocolateChip’
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Descriptive Statistics 1.1 Descriptive vs. Inferential There are two main branches of statistics: descriptive and inferential. Descriptive statistics is used to say something about a set of information that has been collected only. Inferential statistics is used to make predictions or comparisons about a larger group (a population) using information gathered about a small part of that population. Thus‚ inferential statistics involves generalizing beyond the data‚ something that descriptive
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Descriptive Statistics Descriptive statistics is the analysis of data that summarize data in a way such that‚ meaningful patterns emerge from the data. Descriptive statistics do not allow us to reach to the conclusions beyond the data we have analyzed regarding any hypotheses we might have made. They simply describe our data. Measures of Central Tendency: these are ways of describing the central position of a frequency distribution for a group of data through: Mode: Sum of all observations divided
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Association [ASA]‚ 2008). Statistics is a division of mathematics that centers on the collection and evaluation of data‚ which can be drawn upon to make conclusions (Aron‚ Aron‚ & Coups‚ 2006‚ 2). Two branches of statistics exist‚ including descriptive and inferential domains. Extrapolation beyond the data is where the real difference emerges. Indeed‚ these two subcategories vary in function and definition. However‚ a relationship exists between descriptive and inferential statistics‚ irrespective of the
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