article resource; https://medium.com/@pejvan/ios-vs-android-the-same-story-as-mac-os-vs-windows-a467de89b1a9

Participants from survey:25

Participant characteristics:

Gender: 10 female and 15 males

Age: below 20 years old to 30 years old

Race/ethnicity: 10 Hispanic, 6 native Hawaiians, and 9 Americans

Quantitative - Descriptive research design;

This type of research design uses the researcher's idea to describe the variables to provide a systematic information on the phenomenon.

In this study, the researcher would want to identify the best-chosen phone (Apple or Android) and describe or elaborate their reasons behind this.

One open-ended sample question:

This question will provide more explanations as the question has no limit.

1. What are the factors that you consider in buying a phone? Which among them are the most important and why?

Results:

There are 50% or 5/10 responded that they will very likely to buy Apple phones while 50% of them will less likely to buy Android phones.

The best factors considered (in order) when buying a phone are performance, budget, and cost-efficiency.

1. State a hypothesis and briefly describe how the data was analyzed.
2. Present the descriptive statistics from categorical and quantitative data inAPA style tables.

• Quantitative Data:Report therange, mean, SD, median, mode.
• Categorical Data:Createfrequency table. This should include the number of participants that selected each response option.

1. Describe the descriptive statistics in writing and interpret the pattern of results.
2. Describe and interpret the pattern of results from youropen-ended questions.
3. Summarize the results.

• Taken together, what do the results show?
• Do theyappearto support or contradict your hypothesis?
• Please note: in order to actually determine whether results support of the hypothesis, you would need to use inferential statistics.