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2 pages/β‰ˆ550 words
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Style:
APA
Subject:
Health, Medicine, Nursing
Type:
Lab Report
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 9.72
Topic:

Variables that Affects Outcomes

Lab Report Instructions:

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.
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.
Required Readings
1. Australian Bureau of Statistics. (2013) Statistical language - Measures of central tendency. Retrieved from http://www(dot)abs(dot)gov(dot)au/websitedbs/a3121120.nsf/home/statistical+language+-+measures+of+central+tendency
2. Australian Bureau of Statistics. (2013). Statistical language - What are variables? Retrieved from http://www(dot)abs(dot)gov(dot)au/websitedbs/a3121120.nsf/home/statistical+language+-+what+are+variables
3. Hall, R.J. Introduction to statistics.Texas A&M University. Retrieved from http://bobhall(dot)tamu(dot)edu/FiniteMath/Module8/Introduction.html
4. Joseph, L. (2014). Statistics formula: Mean, median, mode, and standard deviation. Retrieved from https://blog(dot)udemy(dot)com/statistics-formula/
5. Khan Academy. (2016). Descriptive statistics. Retrieved from https://www(dot)khanacademy(dot)org/math/probability/descriptive-statistics
6. Laerd Statistics. (201.3) Types of variables. Retrieved from https://statistics(dot)laerd(dot)com/statistical-guides/types-of-variable.php
7. Lake Tahoe Community College. Mean, mode, median, and standard deviation. Retrieved from http://www(dot)ltcconline(dot)net/greenl/courses/201/descstat/mean.htm
8. StatTrek. (2016). One-way tables in statistics. Retrieved from http://stattrek(dot)com/statistics/one-way-table.aspx?Tutorial=Stat
StatTrek. (2016). Two-way tables in statistics. Retrieved from http://stattrek(dot)com/statistics/two-way-table.aspx?Tutorial=Stat

Lab Report Sample Content Preview:

‘
Biostatistics
Name
Course
Institution
Date
Variables
The ID, gender, age, race, salary, and higher education are the explanatory variables. These are variables affecting the outcomes. Gender is a binary variable when one is either a male or female. The respondents are (18-91) years. The BMI and diabetes variables are affected by other variables where the BMI depends on weight and height, and a high BMI is associated with diabetes. Additionally, having a family history with diabetes is associated with a higher risk of diabetes. 
* ID is a type of nominal data
* Gender- binary nominal measurement (male and female) 
* Race- nominal measurement (with racial)
* Age-Scale Interval data with scale values (18-91)
* Salary-Scale
* Education has string values and is a type of ordinal data (high school, college, masters, and professional)
* Height- Interval data with scale values
* Weight- Interval data with scale values
* BMI-Scale and categorical variable   
* Diabetes-Nominal and binary (Yes and No) 
* Allergies- Nominal and binary (Yes and No) 
* Family history diabetes- Nominal and binary (Yes and No)       
* Family history allergies- Nominal and binary (Yes and No)       
* To feel depressed during the winter-Ratio data
* To exercise during the summer- Ratio data
* To overeat when stressed out Ratio data ( 1 to 5)
Age
 
The measures of central ten...
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