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The following assignment about Categorical Data Report and General Social Survey provides essential details. As such, people can learn about completing parts of the quantitative reasoning process. More so formulate problems, problem-solving, and examining the reasonableness of the method.

## Categorical Data Report: General Social Survey

Firstly, this report asks you to complete parts of the quantitative reasoning process. Thus, formulation of the problem, problem-solving, examining the reasonableness of the method. More so, explaining the results in the context of the problem.

Secondly, in this report, you will deal with one categorical variable with two categories.  Hence, you will select from the following list of categorical variables available from the General Social Survey (GSS).  Thus, More so, All of the questions below have the same set-up and same answer choices (about right, not about right).

#### Categorical Data Report: General Social Survey

·         Thirdly, I would like to talk with you about some things people think about today.  So, we experience many problems in this country. Hence, none of which can get solution easily or inexpensively.  Also, I’m going to name some of these problems. Thus, for each one I’d like you to tell me whether you think we’re spending about the right amount or not.

Available categorical data

 1. Firstly, Assistance for childcare [NATCHLD] 5. Highways and bridges [NATROAD] 2. Categorical Data Report: General Social Survey Secondly, Developing alternative energy sources [NATENRGY] 6. Supporting scientific research [NATSCI] 3. Thirdly, Mass transportation [NATMASS] 7. Finally, Social Security [NATSOC] 4. Fourthly, Parks and recreation [NATPARK]

#### Categorical Data Report: General Social Survey

After your variable selection is confirmed, you should hypothesize what the proportion of American adults who would respond that we’re spending about the right amount.  This will be your null hypothesis proportion.

Your report should include the following parts:

1)      An introduction to the problem: what question are you trying to answer about the variable that you chose in the context of the question, and an investigation of whether you believe the data is random and representative.