Working With Descriptive Statistics This course helps you develop a basic understanding of statistics. This course addresses two distinct types, descriptive and inferential. In this assignment, you will have the opportunity to use a software program that makes it easy to analyze data using specific tests. This assignment will give you practice with mean, median, mode, frequency, range, and standard deviation. Be sure to review the Topic Material videos before undertaking this practice.General Requirements:…

**Solution**

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### Working with Descriptive Statistics

Nursing is progressively required to take the lead in evidence-based practice. With more emphasis being placed on the use of health statistics to verse and design evidence-based practices, it is imperative to understand how different statistical tools can be utilized to support the healthcare decision-making process (Kim et al., 2014). Statistics uses well-laid mathematical steps in the collection, analysis, interpretation, and presentation of data to gain insight, understand it and derive inferences on different phenomenon. The process breaks down astronomical data into smaller parts, which can be analyzed and interpreted within the context of a pre-established theoretical study background. There are two primary statistical forms; inferential and descriptive. While inferential statistics make predictions and inferences on a population, descriptive statistics provide descriptions of populations. Descriptive statistics is highly beneficial to nurses as it facilitates easier and better interpretation of any format of data.(Working with Descriptive Statistics) Instead of a nurse collecting and analyzing data from an entire population, say millions of people, they instead study the population sample, which is a careful selection of the part of the population. Through this sample, they can get descriptive statistics, which will represent the entire population. Moreover, descriptive statistics are best suited for presenting data characteristics. Hence, a nurse can use descriptive statistics to report, say the mean body temperature, age, and weight for a group of patients or population samples for study (Suresh, 2014).(Working with Descriptive Statistics) Furthermore, in nursing research, the primary study question asks whether there is a significant difference between the two study groups, or variables, or variable groups. The study also has an interest in determining whether a statistical difference between groups is due to chance. Before a decision is made on what test is to be employed, there are questions asked concerning the data set; is the data categorical or continuous? This is one of the possible asked questions. Some of the potential descriptive statistics nurses can apply during data analysis include t-test, analysis of variance, chi-square analysis, regression, and repeated measures ANOVA. In conclusion, an in-depth understanding of the basic statistical concepts is a requirement while incorporating any findings of empirical research in nursing practices.(Working with Descriptive Statistics) As you continue, premiumacademicaffiates.com has the top and most qualified writers to help with any of your assignments. All you need to do is place an order with us. (Working with Descriptive Statistics)Descriptive Statistics |
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N | Minimum | Maximum | Mean | Std. Deviation | |

Male | 8 | 21 | 505 | 178.00 | 182.031 |

Female | 8 | 61 | 390 | 118.50 | 113.339 |

Valid N (list wise) | 8 |

**References**Kim, M., & Mallory, C. (2014).

*Statistics for evidence-based practice in nursing*. Jones & Bartlett Publishers. Suresh, S. (2014).

*Nursing research and statistics*. Elsevier Health Sciences.

**Question**

Working With Descriptive Statistics
This course helps you develop a basic understanding of statistics. This course addresses two distinct types, descriptive and inferential. In this assignment, you will have the opportunity to use a software program that makes it easy to analyze data using specific tests. This assignment will give you practice with mean, median, mode, frequency, range, and standard deviation. Be sure to review the Topic Material videos before undertaking this practice.(Working with Descriptive Statistics)
**General Requirements:**Use the following information to ensure successful completion of the assignment:

- For assistance with accessing SPSS, refer to the resources “How to Use SPSS From the GCU Server” and “How to Install SPSS on Your Computer.”
- Before beginning this assignment, be sure to view the tutorial videos provided as Topic Materials: (1)
*SPSS for Beginners 1 – Introduction*; (2)*SPSS for Beginners 2a: Frequency Counts*; (3)*SPSS for Beginners 2b: Descriptive Statistics and Z-scores*; and (4)*Graphing and Descriptive Stats in SPSS With Dr. Ami Gates*.(Working with Descriptive Statistics) - Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
- You are not required to submit this assignment to LopesWrite.

**Directions:**

**Open SPSS and obtain an output (as in the tutorial videos) with the following results highlighted:**

*SPSS Output*- Determine the statistics for each gender as follows: Frequency Counts, Mean, Standard Deviation, Minimum, and Maximum.
- Graphing and Descriptive Stats in SPSS: Create a bar graph with gender (axis X) and blood sugar (axis Y).

**Use the following data set for this assignment:**

*Data Set*- You have a group of patients observed with a diagnosis of Diabetes and their blood sugar levels are listed below based on gender. Men: 74, 71, 75, 248, 388, 505, 42, 21.
- Female: 62, 68, 61, 71, 68, 80, 390, 148.

**Write a 250-500 word summary of your results and how this statistical analysis may be applied to your prospectus. Provide a bar graph with gender on the x-axis and blood sugar levels on the y-axis. Add your SPSS output as an Appendix to this summary.(Working with Descriptive Statistics)**

*Summary***Portfolio Practice Hours:**Practice immersion assignments are based on your current course objectives and is application based learning using your real-world practice setting. These assignments earn practice immersion hours and are indicated in the syllabus by a Portfolio Practice Hours statement, which reminds you, the learner, to enter in a corresponding case log in Typhon. Actual clock hours are entered, but the average hours associated with each practice immersion assignment is 10.(Working with Descriptive Statistics) You are required to complete your assignment using real-world application. Real-world application requires the use of evidence-based data, contemporary theories, and concepts presented in the course. The culmination of your assignment must present a viable application in a current practice setting. (Working with Descriptive Statistics)