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4 pages/β‰ˆ1100 words
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Style:
APA
Subject:
Mathematics & Economics
Type:
Research Paper
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English (U.S.)
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Topic:

Quantitative and Qualitative Data Analysis: Describing the Type of Data Used

Research Paper Instructions:

You will need the below dataset.
https://view(dot)officeapps(dot)live(dot)com/op/view.aspx?src=https%3A%2F%2Ftlc.trident.edu%2Fcontent%2Fenforced%2F191020-MHS506-2022OCT03FT-1%2FSLP%2520Dataset.xls%3F_%26d2lSessionVal%3DMEUFpUlFKhZsNbB74wO44Mpzp%26ou%3D191020&wdOrigin=BROWSEL
INSTRUCTIONS:
1. Open the dataset that will be used for the Session Long Project for this course. The variables are labeled across the top, one per column. There are 300 people in this dataset, with each row representing an individual's data. Label the types of variables in the project study and describe, in words, the possible values of each category. List and describe the types of data that may be collected in a study, including binary, categorical, nominal, ordinal, and continuous variables. For instance, "gender" is binary and possible values include "male" versus "female." Do this for all of the variables in the study.
2. Using the provided dataset, calculate the appropriate descriptive statistics for each of the variables in the dataset. Include a 2- to 3-page explanation of the descriptive statistics, including tables of the summarized data, similar to a "Results" section in a published manuscript or journal article.
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Length: SLP Assignment should be at least 4 pages (1000 words) in length.
References: At least four references from academic sources must be included (e.g., peer-reviewed journal articles). You may use any required readings from this module for your four references. Quoted material should not exceed 10% of the total paper (since the focus of these assignments is critical thinking). Use your own words and build on the ideas of others. When material is copied verbatim from external sources, it MUST be enclosed in quotes. The references should be cited within the text and listed at the end of the assignment in the References section (APA formatting recommended).
Organization: Subheadings should be used to organize your paper according to each question.
Format: APA formatting is recommended for this assignment. See Syllabus page for more information on APA formatting.
Thank you for your assistance. Selecting 8 hours wasn't an option, if possible, I need the paper by 2am. If you need the whole 12 hours, I understand. I was able to attach the Data needed. If it doesn't open, I have also attached the link. If you have any problems, please let me know soonest.

Research Paper Sample Content Preview:

Qualitative and Quantitative Data Analysis
Student’s Name
Affiliation
Course
Professor
Due Date
Section 1: List of Variables
The data collected from 300 study participants covered 15 major variables that had varying levels of measurements.
Gender is binary and the possible values that can be used to label a participant is either male or female.
Race is a nominal data that categorizes the participants into distinct categories without a natural order. It is collected using the values, “African Americans,” “Whites,” Asian American,” “Native Americans,” “Hispanics,” and “Others.” Bayoudh, Miclet, and Delhay (2007) describe nominal data as a data type that lack natural ordering.
Age is a continuous variable and is collected in numerical values that can range from zero to infinity. Volkovs et al. (2014) describes continuous data as the type of data that can be expressed in a combination of whole numbers and decimal numbers.
Salary is a continuous variable and is collected in numerical values that can range from zero to infinity.
Education is ordinal data type that codes for the level of education attained by a study participant using values “high school,” “professional,” “college” and “Masters” Ordinal data describes qualitative data made up of categories with a natural ordering (Jakobsson & Westergren, 2005).
Height is a continuous data collected using values ranging from zero to infinity.
Weight is continuous data collected using value ranging from zero to infinity.
Body Mass Index (BMI) is a continuous data collected using value ranging from zero to infinity.
Diabetes status is a binary data type that can be described using the values “yes” or “no.”
Allergy status is a binary data type that can be described using the values “yes” or “no.”
Family history of diabetes (family hx diabetes) status is binary data type that can be described using the values “yes” or “no.”
Family history of allergies (family hx allergies) status binary data type that can be described using the values “yes” or “no.”
“To feel depressed during winter” is a discrete variable in the sense that the participant can only give a whole number among the specified options (1, 2, 3, 4, or 5). Discrete data type is a continuous data type that uses only whole numbers (Wilson, 2014)
“To exercise during summer” discrete variable in the sense that the participant can only give a whole number among the specified options (1, 2, 3, 4, or 5)
“To overeat when stressed out” discrete variable in the sense that the participant can only give a whole number among the specified options (1, 2, 3, 4, or 5).
Section 2: Descriptive Statistics
Age
Of the 300 participants, 53 percent of them were female translating to 159 of the participants. Male participants were 47 percent, which translates to 47 percent of the participants.
Gender

Count

Percentage

female

159

53.00%

male

141

47.00%

Grand Total
Updated on
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