NBHS3112 Statistics/Statistik Assignment 2026 | Open University Malaysia

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Open University Malaysia (OUM)

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Assignment Type

Individual Assignment

Subject

NBHS3112 Statistics

Uploaded by Malaysia Assignment Help

Date

03/05/2026

NBHS3112 ASSIGNMENT

SPECIFIC INSTRUCTION / ARAHAN KHUSUS

  1. The assignment has TWO PARTS (PART I and PART II). Please answer BOTH PARTS according to requirements for each.
    Tugasan ini mempunyai DUA BAHAGIAN (Bahagian I dan Bahagian II). Sila jawab KEDUA-DUA BAHAGIAN mengikut keperluan bagi setiap bahagian.
  2. Answer in ENGLISH or MALAY.
    Jawab dalam BAHASA INGGERIS atau BAHASA MELAYU.
  3. Submit your assignment ONCE only in a SINGLE file.
    Hantar tugasan anda SEKALI sahaja dalam SATU fail.
  4. Submit your assignment ONLINE.
    Hantar tugasan anda secara DALAM TALIAN.
  5. Submission date : 9 MARCH 2026.
    Tarikh penghantaran : 9 MAC 2026.
  6. This assignment accounts for 40% of the total course marks.
    Tugasan ini menyumbang sebanyak 40% daripada jumlah markah kursus.
  7. Answer all the questions and show your workings clearly and systematically.
    Jawab semua soalan dan tunjukkan jalan kerja yang terperinci dan sistematik.

ASSIGNMENT QUESTION

PART I (30%)/ BAHAGIAN I (30%)

PURPOSE

This assignment aims to strengthen your ability to apply descriptive statistics in organising and analysing data. You will identify different types of variables, organise information into suitable tables, present data using appropriate graphical methods, and calculate measures of central tendency and dispersion. These activities will support you in selecting and applying appropriate descriptive techniques to summarise and interpret data effectively.

TUJUAN

Tugasan ini bertujuan untuk mengukuhkan keupayaan anda dalam menerapkan statistik deskriptif bagi mengurus dan menganalisis data. Anda akan mengenal pasti pelbagai jenis pemboleh ubah, mengatur maklumat dalam jadual yang sesuai, membentangkan data menggunakan kaedah grafik yang tepat, serta mengira ukuran kecenderungan memusat dan penyebaran. Aktiviti-aktiviti ini akan membantu anda memilih dan menggunakan teknik deskriptif yang sesuai untuk meringkaskan dan mentafsir data dengan berkesan.

SYNOPSIS AND REQUIREMENT

A community clinic conducted a Workload and Stress Monitoring Survey among its nursing staff to examine the relationship between workload and stress levels. Thirty nurses participated in the study. The survey collected demographic information, weekly workload indicators, and perceived stress levels. Perceived stress was assessed using a validated stress scale, with total scores subsequently categorised into three levels.

You are assigned to organise and analyse this dataset.

ID Age Gender Ward Number of Patient/Week Overtime (Hours/Week) Perceived Stress Score Perceived Stress Category
N1 27 Female Medical 44 4.8 29 Moderate
N2 34 Female Surgery 38 3.2 23 Low
N3 41 Female Surgery 33 2.5 18 Low
N4 29 Male Medical 51 6.4 31 High
N5 45 Female Orthopaedic 47 5.1 27 Moderate
N6 32 Female Orthopaedic 40 4.7 28 Moderate
N7 30 Female Medical 53 6.8 34 High
N8 38 Female Medical 45 4.0 25 Moderate
N9 50 Female Oncology 29 1.5 16 Low
N10 36 Female Medical 48 5.2 30 Moderate
N11 31 Male Medical 41 4.4 26 Moderate
N12 43 Female Surgery 35 2.9 20 Low
N13 28 Female Oncology 50 5.9 33 High
N14 39 Female Oncology 37 3.7 24 Low
N15 46 Female Neurology 31 2.3 17 Low
N16 33 Female Medical 52 6.5 32 High
N17 35 Female Neurology 46 4.3 27 Moderate
N18 42 Male Orthopaedic 39 3.5 22 Low
N19 27 Female Medical 49 6.0 31 High
N20 48 Female Medical 30 1.7 14 Low
N21 29 Female Medical 47 5.0 28 Moderate
N22 37 Female Neurology 54 7.0 35 High
N23 44 Female Surgery 34 2.4 19 Low
N24 30 Male Surgery 43 4.8 27 Moderate
N25 52 Female Orthopaedic 28 1.2 15 Low
N26 40 Female Neurology 45 3.9 26 Moderate
N27 31 Female Orthopaedic 55 7.2 36 High
N28 34 Female Oncology 42 4.6 29 Moderate
N29 49 Female Oncology 32 1.9 18 Low
N30 26 Female Oncology 48 5.7 30 Moderate
  1. Classify the type of data for each variable included in the survey. (5 marks)
  2. Construct a frequency distribution table for the Overtime variable. (6 marks)
  3. Present the data for the following variables using appropriate graphical methods:
    1. The number of nurses in each Ward, grouped by Perceived Stress Category. (4 marks)
    2. The distribution of data for the Number of Patients per Week. (3 marks)
  4. Summarise the Perceived Stress Score data as follows:
    1. Calculate the mean. (2 marks)
    2. Calculate the standard deviation. (7 marks)
    3. Interpret the results, explaining what these measures indicate about the Perceived Stress Score variable. (3 marks)

TOTAL: 30 MARKS

SINOPSIS DAN KEPERLUAN

Sebuah klinik komuniti telah menjalankan Tinjauan Pemantauan Beban Kerja dan Tekanan dalam kalangan jururawat untuk meneliti hubungan antara beban kerja dan tahap tekanan. Seramai 30 jururawat telah mengambil bahagian dalam kajian ini. Kajian tersebut mengumpulkan maklumat demografi, indikator beban kerja mingguan, dan tahap tekanan yang dialami. Tahap tekanan dinilai menggunakan skala tekanan yang sah, dan jumlah skor kemudiannya dikategorikan kepada tiga tahap.

Anda ditugaskan untuk mengurus dan menganalisis set data ini.

ID Umur Jantina Wad BIlangan Pesakit/Minggu Lebihan Masa Bekerja (Jam/Minggu) Skor Tekanan yang Dirasakan Kategori Tekanan yang Dirasakan
N1 27 Perempuan Perubatan 44 4.8 29 Sederhana
N2 34 Perempuan Pembedahan 38 3.2 23 Rendah
N3 41 Perempuan Pembedahan 33 2.5 18 Rendah
N4 29 Lelaki Perubatan 51 6.4 31 Tinggi
N5 45 Perempuan Ortopedik 47 5.1 27 Sederhana
N6 32 Perempuan Ortopedik 40 4.7 28 Sederhana
N7 30 Perempuan Perubatan 53 6.8 34 Tinggi
N8 38 Perempuan Perubatan 45 4.0 25 Sederhana
N9 50 Perempuan Onkologi 29 1.5 16 Rendah
N10 36 Perempuan Perubatan 48 5.2 30 Sederhana
N11 31 Lelaki Perubatan 41 4.4 26 Sederhana
N12 43 Perempuan Pembedahan 35 2.9 20 Rendah
N13 28 Perempuan Onkologi 50 5.9 33 Tinggi
N14 39 Perempuan Onkologi 37 3.7 24 Rendah
N15 46 Perempuan Neurologi 31 2.3 17 Rendah
N16 33 Perempuan Perubatan 52 6.5 32 Tinggi
N17 35 Perempuan Neurologi 46 4.3 27 Sederhana
N18 42 Lelaki Ortopedik 39 3.5 22 Rendah
N19 27 Perempuan Perubatan 49 6.0 31 Tinggi
N20 48 Perempuan Perubatan 30 1.7 14 Rendah
N21 29 Perempuan Medical 47 5.0 28 Sederhana
N22 37 Perempuan Neurologi 54 7.0 35 Tinggi
N23 44 Perempuan Pembedahan 34 2.4 19 Rendah
N24 30 Lelaki Ortopedik 43 4.8 27 Sederhana
N25 52 Perempuan Ortopedik 28 1.2 15 Low
N26 40 Perempuan Neurologi 45 3.9 26 Sederhana
N27 31 Perempuan Ortopedik 55 7.2 36 Tinggi
N28 34 Perempuan Onkologi 42 4.6 29 Sederhana
N29 49 Perempuan Onkology 32 1.9 18 Rendah
N30 26 Perempuan Onkologi 48 5.7 30 Sederhana
  1. Kelaskan jenis data bagi setiap pembolehubah yang terdapat dalam tinjauan tersebut. (5 markah)
  2. Bina jadual taburan kekerapan untuk pembolehubah Lebihan Masa Bekerja. (6 markah)
  3. Persembahkan data bagi pembolehubah berikut menggunakan kaedah grafik yang sesuai:
    1. Bilangan jururawat dalam setiap Wad, digabungkan mengikut Kategori Tekanan yang Dirasakan. (4 markah)
    2. Taburan data bagi Bilangan Pesakit setiap Minggu. (3 markah)
  4. Ringkaskan data Skor Tekanan yang Dirasakan seperti berikut:
    1. Kira min. (2 markah)
    2. Kira sisihan piawai. (7 markah)
    3. Tafsirkan keputusan dengan menerangkan apa yang ditunjukkan oleh ukuran ini tentang pembolehubah Skor Tekanan yang Dirasakan. (3 markah)

JUMLAH: 30 MARKAH

Part II (10%)/ BAHAGIAN II (10%)

ONLINE CLASS PARTICIPATION

Discuss the following topic in the forum and submit proof of your participation in the online discussions.

PENYERTAAN KELAS ATAS TALIAN

Bincangkan topik berikut di dalam forum dan hantar bukti penyertaan anda dalam perbincangan atas talian.

SINOPSIS AND REQUIREMENT

The outpatient department in your hospital has been monitoring daily patient attendance to understand service demand and improve staffing efficiency. Over several weeks, the research team has recorded the number of patients seen each day, categorised by day of the week, time of day (morning/afternoon), and type of case (follow-up/new case). The team now wants to better understand the overall attendance patterns to support planning and scheduling decisions.

  1. Explain the most appropriate method that you can use to show the overall attendance patterns when grouped by day of the week, time of day (morning/afternoon), and type of case (follow-up/new case). Justify your choice.
  2. Identify which measures of central tendency and dispersion you would use to summarise the attendance data, and explain how these summaries would help the team understand typical service demand and its variation over time.

SINOPSIS DAN KEPERLUAN

Jabatan pesakit luar di hospital anda telah memantau kehadiran pesakit setiap hari untuk memahami keperluan perkhidmatan dan meningkatkan kecekapan penjadualan staf. Sepanjang beberapa minggu, pasukan penyelidik telah merekodkan bilangan pesakit yang dilihat setiap hari, digabungkan mengikut hari dalam seminggu, waktu (pagi/petang), dan jenis kes (susulan/kes baharu). Pasukan ini ingin memahami corak kehadiran keseluruhan dengan lebih baik bagi menyokong keputusan perancangan dan penjadualan.

  1. Terangkan kaedah yang paling sesuai untuk menunjukkan corak kehadiran keseluruhan apabila data digabungkan mengikut hari dalam seminggu, waktu (pagi/petang), dan jenis kes (susulan/kes baharu). Berikan justifikasi bagi pilihan anda.
  2. Kenal pasti ukuran kecenderungan memusat dan serakan yang akan anda gunakan untuk meringkaskan data kehadiran, dan terangkan bagaimana cara ringkasan ini akan membantu pasukan tersebut memahami permintaan perkhidmatan yang lazim dan variasinya dari semasa ke semasa.

Instructions on How to Submit Proof of Online Participation

  1. You must submit 5 screenshots as proof of participation, including:
    • 3 best posts of your answers.
    • 2 best posts of your constructive feedback to a classmate’s post, showing comparison, feedback, or additional perspective.
  2. Screenshots must clearly show your name, date, time, and the full content of the post.
  3. Insert the selected screenshots into your assignment file as images.
  4. Screenshots must be in JPG or PNG format.

TOTAL: 10 MARKS

Arahan untuk Menghantar Bukti Penyertaan Kelas Atas Talian

  1. Anda mesti menghantar 5 tangkapan skrin sebagai bukti penyertaan, termasuk:
    • 3 hantaran terbaik untuk jawapan anda.
    • 2 hantaran terbaik balasan kepada hantaran rakan sekelas, yang menunjukkan perbandingan, maklum balas, atau perspektif tambahan.
  2. Tangkapan skrin mestilah jelas menunjukkan nama anda, tarikh, masa, dan kandungan penuh hantaran.
  3. Masukkan tangkapan skrin yang dipilih ke dalam fail tugasan anda sebagai imej.
  4. Tangkapan skrin mestilah dalam format JPG atau PNG.

JUMLAH: 10 MARKAH

Individual Assignment

 

MUKA SURAT TAMAT / END OF PAGE

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NBNH3112 ASSIGNMENT RUBRICS

PART I (30%)

*QN/
*NS		 CLO Criteria/
Kriteria		 Weight/
Pemberat		 Excellent/
Cemerlang		 Good/
Baik		 Fair/
Sederhana		 Poor/
Lemah		 Unsatisfactory/
Tidak memuaskan		 Max Marks
4 3 2 1 0
1 3 Accuracy of variable classification (qualitative/quantitative) and accuracy of sub-classification (nominal/ordinal/discrete/continuous).
Ketepatan pengelasan pemboleh ubah (kualitatif/kuantitatif) dan ketepatan sub-pengelasan (nominal/ordinal/tersendiri/berterusan).		 1.25 All variables correctly classified as qualitative or quantitative and accurately sub-classified (nominal, ordinal, discrete, continuous).
Semua pemboleh ubah diklasifikasikan dengan betul sebagai kualitatif atau kuantitatif dan disubklasifikasikan dengan tepat (nominal, ordinal, tersendiri, berterusan).		 Most variables correctly classified and accurately sub-classified.
Kebanyakan pemboleh ubah diklasifikasikan dengan betul dan disubklasifikasikan dengan tepat.		 Only some variables correctly classified and accurately sub-classified.
Hanya sebahagian pemboleh ubah diklasifikasikan dengan betul dan disubklasifikasikan dengan tepat.		 Only few variables correctly classified and accurately sub-classified.
Hanya sedikit pemboleh ubah diklasifikasikan dengan betul dan disubklasifikasikan dengan tepat.		 None of the variables correctly classified and accurately sub-classified.
Tiada pemboleh ubah yang diklasifikasikan dan disubklasifikasikan dengan betul.		 5
2 3 Completeness of required table elements, accuracy of data values and calculations, correctness of data representation, and clarity of labelling.
Kelengkapan elemen jadual yang diperlukan, ketepatan nilai data dan pengiraan, ketepatan perwakilan data, dan kejelasan pelabelan.		 1.5 All required elements are present. Data values are accurate, and all calculations are correct. Titles, rows, and columns are correctly labelled.
Semua elemen yang diperlukan lengkap. Nilai data adalah tepat dan semua pengiraan adalah betul. Tajuk, baris, dan lajur dilabel dengan jelas dan tepat.		 All required elements are present. Data values are accurate, but there are few minor calculation mistakes. Titles, rows, and columns are mostly correctly labelled.
Semua elemen yang diperlukan lengkap. Nilai data adalah tepat, tetapi terdapat beberapa kesilapan kecil dalam pengiraan. Tajuk, baris, dan lajur kebanyakannya dilabel dengan betul.		 Some required elements are missing. For the elements provided, data values and calculations are correct. Titles, rows, and columns are correctly labelled.
Sebahagian elemen yang diperlukan tidak disertakan. Bagi elemen yang diberikan, nilai data dan pengiraan adalah tepat. Tajuk, baris, dan lajur dilabel dengan betul.		 Many required elements are missing. For the elements provided, there are multiple errors in data values and calculations. Labelling is present but incomplete or unclear.
Banyak elemen yang diperlukan tidak disertakan. Bagi elemen yang diberikan, terdapat beberapa kesilapan dalam nilai data atau pengiraan. Pelabelan wujud tetapi tidak lengkap atau tidak jelas.		 Tables are missing or unrelated. Data values and calculations are largely inaccurate, labels are missing or irrelevant.
Jadual tidak disertakan atau tidak berkaitan. Nilai data dan pengiraan kebanyakannya tidak tepat, dan pelabelan tiada atau tidak relevan.		 6
3 3 Appropriateness of graph type, accuracy of data and scale, clarity of labels, and relevance of the brief comment.
Ketepatan pemilihan jenis graf, ketepatan data dan skala, kejelasan label, dan kerelevanan ulasan ringkas.		 1.75 The graph type is appropriate, and the data, scale, and labels are all accurate and clear. The comment is relevant and directly describes the visual pattern.
Jenis graf yang dipilih adalah sangat sesuai, dan data, skala serta label adalah tepat dan jelas. Ulasan adalah relevan dan menerangkan secara langsung corak visual yang ditunjukkan.		 The graph type is appropriate, and the data, scale, and labels are mostly accurate. The comment is relevant but general or lacks detail.
Jenis graf yang dipilih adalah tepat, dan data, skala serta label adalah kebanyakannya betul. Ulasan adalah relevan tetapi umum atau kurang terperinci.		 The graph type is appropriate, but the graph contains errors in data, scale, or labels. The comment is vague or only partly relevant.
Jenis graf yang dipilih adalah tepat, tetapi graf mengandungi ralat dalam data, skala atau label. Ulasan adalah kabur atau hanya sebahagiannya relevan.		 The graph type is inappropriate, with multiple errors in data, scale, or labels. The comment is minimal, unclear, or not relevant.
Jenis graf yang dipilih tidak tepat, dengan banyak ralat dalam data, skala atau label. Ulasan adalah minimum, tidak jelas atau tidak relevan.		 The graph is missing, unrelated, or entirely inaccurate. No meaningful comment is provided.
Graf tidak disertakan, tidak berkaitan dengan tugasan atau sepenuhnya tidak tepat. Tiada ulasan bermakna diberikan.		 7
4 3 Accuracy of results, correctness and clarity of calculation steps for each measure, and relevance of interpretation.
Ketepatan keputusan, ketepatan dan kejelasan langkah pengiraan bagi setiap ukuran, serta kerelevanan tafsiran.		 3.0 Both results are correct, with clear and accurate calculation steps. Interpretation is relevant for both measures.
Kedua keputusan adalah tepat, dengan langkah pengiraan yang jelas dan betul. Tafsiran adalah relevan kedua ukuran.		 Both results are correct, with mostly accurate calculation steps. Interpretation is relevant but general or lacking detail.
Kedua keputusan adalah tepat, dengan langkah pengiraan yang kebanyakannya betul. Tafsiran adalah relevan tetapi umum atau kurang terperinci.		 One of the results is correct. Calculation steps are incomplete or contain errors. Interpretation shows limited understanding or is only partly relevant.
Satu daripada keputusan adalah tepat. Langkah pengiraan tidak lengkap atau mengandungi ralat. Tafsiran menunjukkan pemahaman terhad atau hanya sebahagiannya relevan.		 None of the results are correct, or major errors occur in most calculation steps. Interpretation is minimal, unclear, or irrelevant.
Tiada keputusan yang tepat, atau terdapat ralat besar dalam kebanyakan langkah pengiraan. Tafsiran adalah minimum, tidak jelas atau tidak relevan.		 No meaningful calculations or interpretation are provided. Results are missing or unrelated.
Tiada pengiraan atau tafsiran yang bermakna diberikan. Keputusan tidak disertakan atau tidak berkaitan.		 12
Total 7.5 30

*QN = Question Number / *NS = Nombor Soalan

PART II (10%)

*QN/
*NS		 CLO Criteria/
Kriteria		 Weight/
Pemberat		 Excellent/
Cemerlang		 Good/
Baik		 Fair/
Sederhana		 Poor/
Lemah		 Unsatisfactory/
Tidak memuaskan		 Max Marks
4 3 2 1 0
1 3 Total posting
Jumlah Pos		 0.5 5 valid posts made on different days. Excellent discussion spread across the forum.
5 pos sah yang dibuat pada hari berbeza. Perbincangan cemerlang dan tersebar dengan baik dalam forum.		 4 valid posts, OR 4 valid posts with 1 additional post made on the same day. Good quality discussion across the forum.
4 pos sah, atau 4 pos dengan 1 pos tambahan dibuat pada hari yang sama. Perbincangan berkualiti baik dalam forum.		 3 valid posts, OR 3 posts with 2 additional posts made on the same day. Fair quality discussion across the forum.
3 pos sah, atau 3 pos dengan 2 pos tambahan dibuat pada hari yang sama. Perbincangan berkualiti sederhana dalam forum.		 1 – 2 valid posts OR posting 3 – 4 times in the same day without contributing to the overall forum discussion.
1–2 pos sah atau membuat 3 – 4 pos pada hari yang sama tanpa menyumbang kepada perbincangan keseluruhan dalam forum.		 No posts / irrelevant posts
Tiada pos / pos tidak relevan		 2
1 3 > Engagement in discussion
> Penglibatan dalam Perbincangan		 0.75 Highly interactive: asks questions, gives constructive feedback, and extends peers’ ideas
Sangat interaktif: bertanya soalan, memberi maklum balas membina, dan mengembangkan idea rakan		 Engages with peers meaningfully, provides relevant responses
Berinteraksi dengan rakan secara bermakna, memberi respon relevan		 Limited engagement, mostly short or surface comments
Penglibatan terhad, komen ringkas atau umum		 Minimal interaction, repetitive or one-word replies
Interaksi minimum, respon berulang atau sangat ringkas		 No engagement with peers
Tiada penglibatan dengan rakan		 3
1 3 Quality of posting
Kualiti Pos		 1.25 Posts are clear, well-structured, and thoughtful; supported with examples or real-life situations
Pos jelas, tersusun, dan bernas; disokong dengan contoh atau situasi sebenar		 Posts are clear and relevant, some examples included
Pos jelas dan relevan, ada contoh		 Posts are relevant but lack depth; examples are weak or missing
Pos relevan tetapi kurang mendalam; contoh lemah atau tiada		 Posts are brief, unclear, or show minimal effort
Pos ringkas, kurang jelas, atau usaha minimum		 Posts are off-topic, copied, or show no effort
Pos tidak berkaitan, disalin, atau tiada usaha		 5
Total 2.5 10.0

*QN = Question Number / *NS = Nombor Soalan

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