NUR 705 Assignment 4.1: Organize Data in JASP
Grand Canyon University NUR 705 Assignment 4.1: Organize Data in JASP-Step-By-Step Guide
This guide will demonstrate how to complete the Grand Canyon University NUR 705 Assignment 4.1: Organize Data in JASP assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for NUR 705 Assignment 4.1: Organize Data in JASP
Whether one passes or fails an academic assignment such as the Grand Canyon University NUR 705 Assignment 4.1: Organize Data in JASP depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for NUR 705 Assignment 4.1: Organize Data in JASP
The introduction for the Grand Canyon University NUR 705 Assignment 4.1: Organize Data in JASP is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for NUR 705 Assignment 4.1: Organize Data in JASP
After the introduction, move into the main part of the NUR 705 Assignment 4.1: Organize Data in JASP assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for NUR 705 Assignment 4.1: Organize Data in JASP
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for NUR 705 Assignment 4.1: Organize Data in JASP
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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NUR 705 Assignment 4.1: Organize Data in JASP
Introduction
In this assignment, you will use the JASP statistical software. If you have not yet downloaded JASP, please download and install JASP. I also recommend that you download this free PDF guide to using JASP (PDF). It can help answer questions as they come up.
Assignment Guidelines
You will download the NUR705 Week 4 (CSV) dataset (Excel) file for use in this assignment. Save this file in an easily accessible location on your computer’s hard drive.
Note: The Edge browser sometimes makes it difficult to download files. Consider switching to Chrome (or another browser) if, when downloading the Health dataset, you get a screen with cryptic cyber-gibberish such as that shown in the following image.
Part One
Using the NUR705 Week 4 dataset, complete the following using JASP:
- Locate the three horizontal lines on the top left of the JASP page and use this dropdown menu to open a file on your computer.
- Choose the NUR705 Week 4 Dataset (it is a CSV file).
- Run descriptive statistics for the variable: age. Include the mean, median, mode, standard deviation, range, minimum, and maximum.
- Run a frequency distribution for the variable: Gender
- Run a frequency distribution for the variable: Race
- Run a histogram for the variable: number of drinks per week.
- Run a frequency distribution for the variable: Smoking/Use
For part one of the assignment, submit screenshots of the items 3, 4, 5, 6, 7 above. It is best to copy these and put them in a Word document.
Part Two
For part two of the assignment:
- Prepare a short narrative to describe the sample and your analysis. Your narrative should include the following: the use of APA formatting, the distribution of age ranges (also include the mean and standard deviation), gender, race, and smoking/tobacco use.
- This narrative should be approximately one paragraph, double-spaced.
Submission
Submit your assignment and review full grading criteria on the Assignment 4.1: Organize Data in JASP page.
Inferential Statistics vs. Descriptive Statistics
Review the video to learn more about the difference between descriptive and inferential statistics.
Inferential Statistics vs. Descriptive Statistics Transcript
Lecture: Normal Distributions
Review the lecture to learn more about normal distributions.
Lecture: Normal Distributions Transcript
Slide 1
Welcome everyone to week 3. In our first lecture this week we are going to talk about normal distributions. It’s a very important concept that we are going to carry with us throughout this class.
Slide 2
Now if you remember when we were talking about histograms I talked about these classic shapes that you can see, especially if you
observe a lot of histograms you notice these shapes appearing over and over again. The one in the lower right corner that I have highlighted, the symmetric distribution, that is very prevalent, and we are going to change the name and refer to that as normal distributions. It normal distributions are essential in statistics and a very important, and they are important for a number of reasons so I want to outline those for you now.
Slide 3
One reason that normal distributions are important is that they are prevalent. You can literally see them almost everywhere. Here are just some examples that I have pulled out, but first physical performance is normally distributed so how long it takes a high school student to run a mile. If you’ve got that population data or even a large randomly drawn sample you would find that is normally distributed. How long elderly women can hold their breath—normally distributed. The range of motion scores in arthritic males—normally distributed. Other human features like the weight of the femur, white blood cell counts—normally distributed. Mental performance—any type of exams, the ACT score, the nursing licensure exam— normally distributed. Items found in nature—so the leaves on a tree, the number of kernels on an ear of corn, the height of an oak tree normally distributed. They are important because they are prevalent. We see them in the natural world, and by the way even in the man-made world if you know anybody involved in manufacturing—where I work in Peoria, Illinois, is the home of Caterpillar tractor, much of what they measure in their manufacturing process is normally distributed.
Slide 4
The second reason that normal distributions are important to statistics is that this assumption that you are drawing from a normally distributed population is fundamental to inferential statistics. It is an assumption that you will see repeated over and over again, and since it is so prevalent it is a fair assumption.
Slide 5
The final reason I want to talk to you about normal distributions being so important is that if you take multiple samples from a population and record their mean scores and make a distribution of those mean scores, that distribution will be normally distributed. It is such an important concept it is given its own term. We call that—when you create this distribution from multiple mean scores drawn from multiple samples we refer to that is a sampling distribution, so normal distributions are important to statistics because sampling distributions are normally distributed. We will visit that concept with the central limit theorem here in a week or two.
Slide 6
Now when we talk about normal distributions there is really a family of distributions. They all have some characteristics that they share that we are going to review here in a second, but their shapes aren’t identical. They have this general—we call it a Bell shaped. It is a curved shape. It somewhat resembles a bell, so sometimes they are called Bell curves. We are going to revert to them as normal distributions, but they can take on different shapes—some tall, thin and spiky; some short, fat and spread out, but they are all normal distributions and they all share some important characteristics that we are going to take a moment and review.
Slide 7
There are several important characteristics of normal distributions we need to review. I think your book refers to them as useful characteristics, so we can call it that. The first characteristic we’ve already talked about. It has that classic bell shaped, so it has that curved look to it. Again, it can be tall and thin or short and squat but it has that classic shape. The second characteristic is that the mean, the median and the load are all the same value. They are all equivalent to one another, and that value is found at the center of the distribution since it is the median and that center is also the peak of the distribution since it is the mode is so mean equals median equals mode. The third characteristic is that the curve is symmetric about the mean. It is basically a fancy way of saying that the right side mirrors the left side. Finally, the total area under the curve equals 1, and 1 here really a proportion. We are really meaning 100%—the total area we are going to say equals 1. That will become an important characteristic that we are going to build on in our next lecture.
Slide 8
The book talks about four useful characteristics. I want to add a fifth. The curve is theoretically continuous in both directions, so in theory mathematically it never touches the horizontal axis so it extends to infinity on both sides. Now impractical areas depending on what your unit of measure is, it may end. It may be impossible to get a score beyond a certain area, but mathematically that normal curve stretches to infinity on both the right side and the left side.
Quantitative research studies must have a preliminary data analysis completed in order to convey to a research consumer the characteristics of the sample. Preliminary data analysis is also needed to ensure that the appropriate statistical test is conducted on the collected data.
Another key component of effectively analyzing and communicating the characteristics of the sample is to properly organize and display data. This week, you will explore descriptive statistics. You will also briefly examine inferential statistics and measures of central tendency.
Week 4 Introduction Transcript