Crosstabs Gender Vs Meal Dataset 1 Case Processing Summary

Crosstabs Gender Vs Mealdataset1case Processing Summarycasesvali

Crosstabs: gender vs meal [DataSet1] Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Row Column .0% 0 0.0% .0% Row Column Crosstabulation Column TotalMale Female Row Breakfast Count Expected Count Lunch Count Expected Count Dinner Count Expected Count Snack Count Expected Count Total Count Expected Count .1 13.9 27..4 40.6 79..9 40.1 78..6 13.4 26..0 108.0 210.0 Chi-Square Tests Value df Asymptotic Significance (2- sided) Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases 4.305a 3 ..319 3 ..222 1 . cells (0.0%) have expected count less than 5. The minimum expected count is 12.63.a. Crosstabs: gender vs dating apps [DataSet2] Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Row Column .0% 0 0.0% .0% Row Column Crosstabulation Column TotalMale Female Row Acceptable Count Expected Count Not_Acceptable Count Expected Count Total Count Expected Count .1 69.9 115..9 57.1 94..0 127.0 209.0 Chi-Square Tests Value df Asymptotic Significance (2- sided) Exact Sig. (2- sided) Exact Sig. (1- sided) Pearson Chi-Square Continuity Correctionb Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases 3.037a 1 ..561 1 ..035 1 .081 .089 ..022 1 . cells (0.0%) have expected count less than 5.

The minimum expected count is 36.88.a. Computed only for a 2x2 tableb. Crosstabs Title Active Dataset Case Processing Summary Row Column Crosstabulation Chi-Square Tests Crosstabs Title Active Dataset Case Processing Summary Row Column Crosstabulation Chi-Square Tests Project 2 Your task is to improve upon your program for Project 1 in two key ways: Replace the menu-driven interface with a GUI. The GUI should look like the image below (2 points) and support the following operations (1 point each): • Creating a new to-do item • Marking an item as in progress • Marking an item as completed • Removing completed items Support two different list orderings: The user should be able to switch between these listing the items alphabetically and listing them chronologically by deadline using radio buttons (1 point).

The first image below shows alphabetical ordering and the second shows the date-based ordering. Important note: If you had difficulty with Project 1 or simply want to start from a clean slate, you can request a working program that meets all of the requirements for Project 1 from the professor. Any new code you add to that for Project 2 is expected to be your own work.

Paper For Above instruction

The instructions provided above encompass two distinct tasks involving different datasets and programming projects. The first part involves analyzing data from two crosstabs: one examining the relationship between gender and meal choices from a dataset, and the other exploring the association between gender and dating app acceptability. The second part pertains to developing a graphical user interface (GUI) for a to-do list application, improving upon a previous menu-driven program.

In the first dataset analysis, the crosstabs reveal interesting insights into the distribution of meal choices among different genders and how gender influences acceptable dating app usage. The chi-square tests indicate the independence or association between these categorical variables. For example, the chi-square value for gender versus meal choices suggests some level of significance, though the exact p-value requires close examination. Similarly, the analysis of gender versus dating app acceptability indicates whether there is a statistically significant relationship.

The second project task emphasizes software development skills, requiring the replacement of a menu-based interface with an intuitive GUI. This interface must facilitate creating, updating, and removing to-do items, with specific functionalities: marking items as in progress or completed, and supporting two different list orderings—alphabetical and by deadline. The design must include radio buttons to switch between the two sorting methods, enhancing user interaction and usability. The project also suggests that starting from scratch or requesting a clean version of the initial program is permissible, provided that any added code aligns with the requirements and demonstrates original work.

Overall, these tasks highlight fundamental skills in data analysis using crosstabulation and chi-square testing, as well as practical software development involving GUI creation for task management applications. Both require careful attention to detail, accurate interpretation of statistical results, and user-centric design principles in application development.

References

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