Zarqa University

College of  Nursing

Zarqa University       Date: 20/04/2026

College of Graduate Reports Teacher:

Nursing Division              Dr. Anas Khalifeh

Recordsdata Management and Statistical Prognosis

Semester: 2^nd Semester                                                   Master Diploma in Nursing

Assignment Number 2 (10%) Administration

Recordsdata Entry, Make SPSS Dataset, and Behavior Descriptive Statistics

This task aims to present ride in increasing descriptive statistics. Birth with increasing the SPSS dataset, after that resolution the following questions. The task will be submitted through the ZU e-finding out gadget (Moodle) internal the time body.

Paper Well-known facets:

Initiate: Monday, April 20, 2026

Due date and time: Friday, April 24, 2026, at 23:59 (11:59 PM) Authorized format: PDF file handiest.

Activity weight: 10 Marks. Activity particular person.

Case Swear: Physique of workers Profile Prognosis of Nurses in Hospitals

As a part of your research accomplishing, you performed a descriptive, tainted-sectional look to detect the demographic and official characteristics of nurses working in both public and deepest hospitals. A whole of 30 nurses participated within the look, selected from four hospitals. This records entails:

• Age: Every participant’s age in years.

• Gender: “Male” or “Female”.

• Position of Work: Prince Hamzah Clinic, Al Basheer Hospitals, Abdali Clinical Middle, and Istishari Clinic.

• Skills Yr: The years of ride for every participant, indicating their total ride stage.

• Month-to-month Income: “501-750,” “751-1000,” and “Extra than 1000” Jordanian Dinars (JOD).

No. Participants	Age	Gender	Position of Work	Skills Yr	Month-to-month Income
1	44	Female	Istishari clinical institution	18	751-1000
2	36	Male	Prince Hamzeh Clinic	15	501-750
3	29	Female	Abdali Clinical Middle	9	Extra than 1000
4	29	Female	Abdali Clinical Middle	2	751-1000
5	28	Female	Istishari clinical institution	6	751-1000
6	34	Female		4	751-1000
7	25	Female	Abdali Clinical Middle	7	Extra than 1000
8	24	Female	Abdali Clinical Middle	3	Extra than 1000
9	28	Female	Prince Hamzeh Clinic	6	4
10	37	Male	Istishari clinical institution	14	Extra than 1000
11	35	Female	Abdali Clinical Middle	5	Extra than 1000
12	37	Male	Prince Hamzeh Clinic	1	Extra than 1000
13	32	Female	Prince Hamzeh Clinic	8	751-1000
14	41	Male	Prince Hamzeh Clinic	18	Extra than 1000
15	35	Female	Prince Hamzeh Clinic	13
16	34	Female	Prince Hamzeh Clinic	14	501-750
17	43	Female	Istishari clinical institution	18	501-750
18		3	Istishari clinical institution	18	Extra than 1000
19	39	Male	Istishari clinical institution	3	Extra than 1000
20	31	Female	Al Basheer Hospitals	9	751-1000
21	44	Female	Al Basheer Hospitals	35	Extra than 1000
22	35	Male	Istishari clinical institution	15	751-1000
23	32	Female	Prince Hamzeh Clinic	8	Extra than 1000
24	37	Male	Istishari clinical institution	7	751-1000
25	31	Female	Istishari clinical institution	7	501-750
26	37	Male	Istishari clinical institution	10	501-750
27	25	Female	Istishari clinical institution	3	501-750
28	38	Male	Al Basheer Hospitals	15	Extra than 1000
29	33	Male	Al Basheer Hospitals	10	Extra than 1000
30	33	Female	Al Basheer Hospitals	13	Extra than 1000

The utilize of the supplied dataset of 30 nurses, entry the records, make an SPSS records file, and possess the critical statistical analyses. Once the records is ready, reply to the following questions in a clearly structured and professionally written characterize:

1) Determine the Diploma of Size. For every variable within the dataset, determine and specify its stage of measurement. What’s Diploma of Size for every variable? (2 Designate)

2) Sooner than starting up descriptive statistics, take a look at for errors, acquire, and ravishing errors of the records; after that write an justify about the complications you found (lacking, wild code, or outlier) and the components you cleaned and changed the lacking records? (Supported with numbers of the case and how therapies) and (Supported with traditional distribution and boxplot) (2 Marks).

3) After shipshape records, summarize the Demographic and Legit

Traits of the Pattern. Behavior a whole descriptive diagnosis with Tables as follows:

a.  For all Ratio (Right/Quantitative) variables, calculate and characterize the

Suggest, Median, and Mode. (2 Designate)

b.  Calculate the Fluctuate and Interquartile Fluctuate (IQR) for the same Ratio variables. (2 Designate)

c.  For all nominal and ordinal (Categorical) variables, generate frequency tables that consist of frequencies and percentages. (2 Designate)

d.  Provide a immediate description below every desk to summarize and justify the findings. (2 Designate)

4) Graphical Representation of Ratio (Right) Variables. Portray the Ratio variables using acceptable graphs. Provide a immediate written summary explaining the Form of the distribution. (2 Designate)

5) Graphical Representation of Nominal and Ordinal (Categorical) Variables. Portray every Categorical variable using acceptable graphs. Provide a concise interpretation below every graph, describing essentially the most and least neatly-liked classes. (2 Designate)

6) Explore the distribution of workers’ Skills Yr by drawing a boxplot. Then determine if there might be any outlier (determine the preference of outlier cases proven within the graph). (2 Designate)

7) Narrative and justify the Skewness and Kurtosis values for every variable Ratio (Right/Quantitative). Provide a immediate written summary explaining the form of the distribution and describe its route (skewness and kurtosis). Narrative the Skewness and Kurtosis coefficient. Narrative the Fisher’s Skewness and Kurtosis coefficient. (2 Designate)

NOTES

•        Please put up file: PDF file with all answers, in conjunction with tables and graphs, properly labeled and organized.

•        Please don’t neglect to write a immediate description about your outcomes for every inquire of.

•        Put up by the specified due date. Any extend previous the due date and time will lead to 2 marks deduction per 24 hours or a part of the 24 hours.

•        Submissions are accredited through Moodle handiest.

•        ONLY the following format of the resolution is accredited: PDF file.

• Develop now not utilize artificial intelligence (AI) instruments to generate or reduction in writing your responses.

• Develop now not copy from other college students or put up assignments that are identical or critically identical to these of your colleagues.

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