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Getting Your Hands Dirty with Data - Essay Example

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From the study "Getting Your Hands Dirty with Data" it was concluded that there indeed a difference in gender’s agreement or disagreement with the null hypothesis. A High percentage of women disagree that increased exposure to foreign films, music, and books is detrimental to the national cultures…
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Getting Your Hands Dirty with Data
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Getting Your Hands Dirty with Data

Download file to see previous pages... From Output 1, the 43 respondents who strongly agreed with the hypothesis contributed to about 3.7%. 127 of respondents agreed, and 257 individuals who had mixed reactions represented 21.8% of the sampled population. About 45.3% (533) of them disagreed while 277 respondents who represented to about 18.4% of the total sample population strongly disagreed with the hypothesis. Of those who participated, 38 of them could not choose whether to agree or disagree with the null hypothesis. The total sampled population was 57,061 with a mean of 3.64 and a standard deviation of 1.02.
3. Describe and discuss any recording of original variables that you did for this analysis
In creating a new culture music variable that has only two valid categories, all those who agreed with the hypothesis will be coded “1” and “1s” and “2s” would be combined with the original variable to identify them. Those who disagreed with the hypothesis would be coded “2” and the “3s”, “4s” and “5s” would be combined to categorize them. This new variable would be referred to as “FORCULT2”. This is followed by a click on the “Create Variables” button to reveal the option of “Recode,” “Compute,” or “List Created Variables.” I then click on the “Recode” button to provide a platform of filling in the required information that includes the name of the new variable that would be created by recording an existing variable FORCULT2.
This is preceded by labeling the new variable as “Agree for Culture Music”. ...Download file to see next pagesRead More
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