part 2 Submit the exact wording of your quantitative question you will ask.(How

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part 2
Submit the exact wording of your quantitative question you will ask.(How

part 2
Submit the exact wording of your quantitative question you will ask.(How many minutes does it take you to get ready to leave the house for the day?) Keep in mind that it is not OK to clarify questions for some people and not for others when collecting data, so your question should clearly reflect exactly what you mean to ask. Data collected from vaguely worded questions will raise questions about how the people in your sample are interpreting your question, which will undermine the purpose of drawing any conclusions from your sample.
Write the three sets of hypotheses (a null and alternative hypothesis) for each of the 3 parameters below. You will decide the sign (
< , >
,
≠
) in your alternative hypothesis based on what you expect your sample data to show. Use correct notation, and define any parameters.
1. The proportion of people that prefer paper books.
2. The difference in proportions of people that prefer paper books between the 18-29 age group and the 30 and over age group.
3. The difference in means for your quantitative variable between the 18-29 age group and the 30 and over age group.
For Part 3 of our project, you will upload a spreadsheet. The requirements for the spreadsheet are as follows:
The spreadsheet you submit must be in the .csv format. Instructions for how to save a Google Sheet as a .csv are found here Links to an external site..
The rows in your spreadsheet represent the cases in your dataset. You must have at least 30 usable* (see bottom of page) cases in the (18-29) age group and at at least 30 usable cases in the (30 or over) age group. This means that you will have at least 60 total usable cases.
The 3 columns in your spreadsheet will represent your variables: AgeGroup, BookType , and the third variable based on the question you devised in Part 2 of the project. AgeGroup and BookType are defined in part 1 of the project. You may include more variables if it was discussed with Mr.G.
Your quantitative variable column should consist of numbers only. No text. For example, if you have “45 minutes” as a data value, just enter 45.
The categorical variables AgeGroup and BookType , must consist of exactly two categories. Also, these categories must be consistently coded so that your variable is read correctly. See example below for clarification.
Example: If your categories for BookType are coded as E and P (for e-book and paper book), this must be consistent.
Below is an example of a correctly coded column of 5 entries. There are two categories, E and P.
BookType
E
P
P
E
P
Below is an example of an incorrectly coded column of 5 entries.
BookType
E
p
P
ebook
P
In the example above, the 2nd and 4th entry will be read as separate categories. In other words, the variable would be interpreted as having 4 categories, E,P, p, and ebook.

*We will only use data from participants that answer all 3 of your questions. If any one of your participants (cases) has missing data, this row will be deemed “unusable”, and you will remove this row from your data set.

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