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BUS105 Business Statistic Computing Assignment

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bus105 Business Statistics - Computing Assignment (bus105)

   

Added on  2020-05-16

BUS105 Business Statistic Computing Assignment

   

bus105 Business Statistics - Computing Assignment (bus105)

   Added on 2020-05-16

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Running Head: BUS105 COMPUTING ASSIGNMENTBUS105Computing AssignmentName of the StudentStudent NumberAllocated Sample: 116
BUS105 Business Statistic Computing Assignment_1
1BUS105 COMPUTING ASSIGNMENTExecutive SummaryThis study is mainly about the techniques for the comparison of different types of variables in adataset. The first section of the study involves the definitions of datasets, variables, and types ofvariables and how to compare different types of variables. Illustrations on comparison ofdifferent types of variables are described in the following sections.
BUS105 Business Statistic Computing Assignment_2
2BUS105 COMPUTING ASSIGNMENTTable of ContentsSection 1..........................................................................................................................................3Section 2..........................................................................................................................................5Section 3..........................................................................................................................................6Section 4..........................................................................................................................................8Section 5........................................................................................................................................10Section 6........................................................................................................................................11
BUS105 Business Statistic Computing Assignment_3
3BUS105 COMPUTING ASSIGNMENTSection 1A dataset is usually a collection of data. These data can be of items that are discrete andrelated. These can be assessed separately or together with other variables. Thus, data arrangedproperly and in the form of tables is known as a dataset. For example, there can be a collection ofnames, contact information, salaries, sales figures etc. in a file. This whole collection is known asa dataset and all these individual entities can be dealt with separately and also with relation ofother variables or even considering all the variables at the same time. A variable is termed as a value which changes from time to time. The changes aredependent on the conditions and the situations. Variables usually contain some values whichrepresent certain characteristics. Variables can be of two types, Categorical and Numerical.Categorical variables are qualitative variables and they represent some categories whereasnumerical variables contain numeric values. Numerical variables can be discrete and continuousas well. Example of a categorical variable is gender of a person which can be either male orfemale. Example of a discrete numeric variable is the number of phone calls received by a personin a day where the values are distinct and countable. An example of a continuous randomvariable is the income of people. There are certain ways to summarize datasets on the basis of the type of variables that areinvolved in the dataset. The relationship between two variables can be expressed in the followingways: If both the variables are quantitative or numerical, then the relationship between the twovariables can be expressed diagrammatically with the help of a scatterplot.
BUS105 Business Statistic Computing Assignment_4

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