The Barcelona Mobile World Congress
Populations are usually too big to be observed in their entirety. What we do, in practice, is to draw a sample from the population, perform our statistical analysis on the sample and extrapolate our results to the population. This is an example of statistical inference.
The objective of the case is to illustrate a simple exercise of inference. The data set, supplied in an Excel file (mwc-data.xls), contains the results of a customer service satisfaction survey, which included five questions related to customers' satisfaction with different aspects of their experience at a hotel. Each question was answered using a 0-5 scale (from 0-bad to 5-excellent). The data is split into two groups: visitors who did not return the following year and those who did.
Students are expected to calculate confidence limits for the mean satisfaction of the groups of customers separately and to understand how to interpret the figures they obtain. Very basic knowledge of Excel or an analogous open source spreadsheet application is sufficient.
Data excel available on demand: iesep@iese.edu
Collection: IESE (España)
Ref: ADFC-1-E
Format: PDF
Number of pages: 3
Publication Date: May 23, 2014
Language: English
What material is included in this case:
Description
Populations are usually too big to be observed in their entirety. What we do, in practice, is to draw a sample from the population, perform our statistical analysis on the sample and extrapolate our results to the population. This is an example of statistical inference.
The objective of the case is to illustrate a simple exercise of inference. The data set, supplied in an Excel file (mwc-data.xls), contains the results of a customer service satisfaction survey, which included five questions related to customers' satisfaction with different aspects of their experience at a hotel. Each question was answered using a 0-5 scale (from 0-bad to 5-excellent). The data is split into two groups: visitors who did not return the following year and those who did.
Students are expected to calculate confidence limits for the mean satisfaction of the groups of customers separately and to understand how to interpret the figures they obtain. Very basic knowledge of Excel or an analogous open source spreadsheet application is sufficient.
Data excel available on demand: iesep@iese.edu
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Year: 2013
Industry Setting: Tourism, Restaurants and Entertainment
Learning Objective
This case illustrates the calculation and use of confidence limits for the mean. Students are not expected to have any previous knowledge of statistics.
The main points for the class discussion are: (a) the validity of inference, based on the sample being representative, (b) the sampling error and (c) the normal distribution as the basis for the formula of the confidence limits.
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"The Barcelona Mobile World Congress"
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