Titlebook: Quantitative Analysis and IBM? SPSS? Statistics; A Guide for Business Abdulkader Aljandali Book 2016 Springer International Publishing Swit

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Graphics and Introductory Statistical Analysis of Dataand cases with extreme values highlighted. It is always relevant to examine the data at a basic level and in a systematic fashion. It is most certainly incorrect to search haphazardly for statistical significance. Based upon such rudimentary investigations, initial hypotheses may be modified or anti

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Coding, Missing Values, Conditional and Arithmetic Operations, their levels of education or voting intentions. These data are called nominal as discussed in Sect. .. In data files, one way such items are entered is to assign numbers or symbols to the various responses. This allocation of labels is known as . and is discussed in the first section of this chapt

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Nonparametric Hypothesis Tests are not always at these levels of measurement. Market research regularly produces data at the . (e.g. “agree” versus “disagree” with a proposition about a product) and . (e.g. ranked preferences) levels. The study of consumer preference is a field in which data at nominal and ordinal levels are par

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Other Useful Features of IBM SPSS Statisticsrocedures have been described. These statistical procedures are but a fraction of the methods available on IBM SPSS Statistics. For example, there are many other nonparametric hypothesis testing methods available for one, two and k independent and related samples. The IBM SPSS Statistics graphics pr

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