Reference no: EM133254171
The Australian Government has developed a survey to enable it to gauge the views of the Australian public regarding "Climate Change". The survey consists of a sample of 400 Australian Citizens and Permanent Residents regarding their views on a wide range of Climate Change topics.
The Government intends to use the results of the survey to assist in the formulation of government policy for the next 30 years.
The variables used in the dataset are as follows:
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Variable Name
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Explanation
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Options
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News_Source
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Your preferred News Source to learn about Climate Change
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{Internet, Newspapers, Magazines, Research Journals, TV, Social Media, Other}
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Household size
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Number of persons living in your home
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Locality
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If you live in a city or the country
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{Urban, Rural}
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Awareness
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Awareness you have regarding Climate Change
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{Very Aware, Moderately Aware, Have a little knowledge, Have no Interest/Awareness}
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Up_Front_Payment
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Amount willing to pay up front ($) in order to have net zero electricity bills through renewable energy (e.g. Solar panels with battery)
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a) Below, write in the name of one variable selected from the list given above. (Some variables satisfy more than one question. Also, for some questions, but not all, there may be several suitable variables: ensure you choose one of the most suitable of these. If no variable is appropriate, write "Nil".) (5 points)
Nominal variable: .............................................................
Ordinal variable: ................................................................
Discrete variable: ...............................................................
Continuous variable: ........................................................
Dummy variable: ...............................................................
b) For each of the scenarios outlined below, describe a type of Visualisation (i.e. a Chart/Table/Graph) that would be appropriate for the following variables. Note: No actual calculations are required.
- To represent the variable News_Source.
- To identify if there is any relationship between Locality and Up_Front_Payment.
c) For each of the scenarios outlined below, describe a Statistical Technique that would be appropriate. Note: No actual calculations are required.
- To represent Up_Front_Payment.
- To estimate the proportion of all people who are Very Aware of Climate Change.