BECS 184 Solved Guess Paper 2026 is a 17 page revision paper carrying 13 exam style questions with complete written answers for the Data Analysis course at IGNOU. BECS-184 Data Analysis is the skill enhancement course that moves a learner from sets and functions through data collection and presentation to univariate and bivariate measures, composite indices and qualitative techniques.
The syllabus runs to four blocks and eleven units. Every answer in this file is written from the prescribed IGNOU material and kept inside the length the marks actually demand.
This paper was not assembled by guessing. Our faculty sat with six term end papers running from June 2023 to December 2025, marked every question against its block, counted how often each theme returned, and then wrote the answers around the themes that kept coming back. The December 2025 paper was the last one read, so the most recent shift in the examiner's taste is already reflected in the priority tags.
Five complete questions with their full answers are printed on this page at no cost. Read them, judge the language, check whether the definitions carry the scholar's name and whether the conclusion lines are the kind an examiner rewards. If the quality suits you, the remaining eight questions and all seventeen pages are one WhatsApp message away.
BECS 184 Guess Paper Key Facts at a Glance
| Detail | BECS 184 Data Analysis |
|---|---|
| Course code and title | BECS-184 Data Analysis |
| Questions with answers | 13 |
| Sample answers on this page | 5 |
| Questions unlocked on request | 8 |
| Total pages | 17 |
| Syllabus covered | 4 blocks and 11 units |
| Question papers analysed | 6 sessions from June 2023 to December 2025 |
| Target sessions | June 2026 and December 2026 term end examination |
| Paper pattern | 100 marks in 3 hours across Section A and Section B |
| Medium | English |
What the BECS 184 Solved Guess Paper 2026 Contains
The paper holds 13 questions with complete answers, split as 5 long questions of 20 marks and 8 questions of 12 marks, spread over 17 pages and mapped to all four blocks of the syllabus. Nothing is left as a bare heading or a bullet skeleton. Each question opens with a definition, carries the formula or the diagram the book supplies, and closes with an evaluative line.
Three answers carry figures drawn to the specification the examiner asks for. Question 3 includes a constructed histogram of 150 students on a numerical ability test, question 5 includes a scatter plot of three companies with the computed value of r printed on it, and question 11 includes both the three skewness curves and the leptokurtic, mesokurtic and platykurtic overlay. Diagram questions cost marks when the figure is missing, so they are drawn for you.
Question 13 handles the short note block that has appeared in every recent session. It answers six options, properties of the normal distribution, focus group discussion, non sampling errors, the central limit theorem, the standard error of estimate and sources of secondary data, so that you can pick any three in the hall without being cornered.
Learners preparing several papers at once often start from our wider IGNOU Solved Guess Paper collection and then drill down into a single code like this one.
Priority tags sit on every question. HIGH marks a theme repeated four times or more, or one that has resurfaced in the newest paper. MEDIUM marks a theme seen two or three times. The paper also names what to leave alone, which is often the more useful half of the advice when three days are left.
BECS 184 Guess Paper Sample Questions With Full Answers
Five of the thirteen questions are reproduced below word for word from the paper, one from each block plus two extra, with their answers exactly as a buyer receives them. Nothing has been shortened or rewritten for the web. What you read here is what sits inside the PDF.
Sample 1 of 5 · Measures of Central Tendency · 20 marks · Block 1 · Priority HIGH
Question. Explain the various measures of central tendency. What is the relationship among mean, median and mode? Point out the situations where median and mode are suitable.
Meaning of Central Tendency
"In most sets of data there is a tendency for the observed values to group themselves about some interior value; this phenomenon is referred to as central tendency."
The Three Commonly Used Measures
- Arithmetic Mean: the sum of the values divided by the total number of values, X̄ = ΣX / n. For grouped data, X̄ = Σf·Xm / n. It uses all observations and is best suited for algebraic treatment, but is affected by extreme values (outliers).
- Median: the value in the middle of the data set when the items are arranged in order of magnitude, Md = size of (n+1)/2 th item. For grouped data, Md = l + [(N/2 − m)/f] × c. It divides the data into two equal halves.
- Mode: the value occurring most often in the data. According to Croxton and Cowden, it is "the value at the point around which the items tend to be most heavily concentrated." For grouped data, Mo = l + [(f₁−f₀)/(2f₁−f₀−f₂)] × c.
Relationship Among Mean, Median and Mode
In a symmetrical distribution the three averages coincide, i.e. Mean = Median = Mode. For a moderately asymmetrical (skewed) distribution, Prof. Karl Pearson established the empirical relationship: Mode = 3 Median − 2 Mean. The median always lies between the mean and the mode.
When Median is Suitable
- used to locate the centre or middle value of a data set;
- used for an open-ended distribution where class limits are not fixed;
- preferred when the data contain extremely high or low values, since it is affected less than the mean by such extremes.
When Mode is Suitable
- used when the most typical case is desired;
- it is the easiest average to compute;
- the only average that can be used when the data are nominal, such as religious preference, gender or political affiliation.
Conclusion: The mean uses all values and suits algebraic treatment, the median best represents the middle of skewed or open-ended data, and the mode identifies the most typical value; together they describe where data concentrate.
Sample 2 of 5 · Composite Index Construction · 20 marks · Block 4 · Priority HIGH
Question. What is a composite index? Explain how a composite index is constructed, with reference to the simple ranking method.
Meaning of Composite Index
"A composite index expresses a quantity or a position on a scale of qualitative multi-faceted aspects which is relevant for information of the society."
A composite index is a single score made by combining different scores to measure a given variable or group of variables. If positive (unidirectional) indicators are used, a higher index implies higher development; if negative indicators are used, it becomes a deprivation index. An index is more robust than a single indicator.
Steps in Constructing a Composite Index
- Theoretical framework: develop a clear definition of the multidimensional phenomenon and a list of selection criteria for variables, involving experts and stakeholders.
- Data selection: select indicators on the basis of analytical soundness, measurability, coverage and relevance, using proxy variables when data are scarce.
- Imputation of missing data: estimate missing values, assess the reliability of each imputed value and examine extreme values and outliers.
- Multivariate analysis: study the underlying structure of the data (e.g. by principal components or cluster analysis) to guide weighting and aggregation.
- Normalisation: render the variables comparable by a procedure that respects both the theoretical framework and the data properties.
- Weighting and aggregation: combine the normalised indicators into the final composite score.
Simple Ranking Method
Rank Method is one of the simplest methods to assess the status of a region or district. The steps are: first, convert every variable into a single (positive) direction, e.g. a negatively associated variable is deducted from 100 and re-labelled. Each variable is then ranked, the highest rank (1) being given to the unit with the most favourable value. The individual ranks of all variables are added to get the total rank value for each district, and the average rank (sum of ranks ÷ number of variables) shows its status on the development indicators.
Conclusion: A composite index condenses many indicators into one comparable score; built through a theoretical framework, data selection, imputation, multivariate analysis and normalisation, it is a useful policy tool, and the simple ranking method offers the easiest route to it.
Sample 3 of 5 · Methods of Primary Data Collection · 12 marks · Block 2 · Priority HIGH
Question. Give a brief account of the methods of collection of primary data.
Meaning of Primary Data
"The data which are collected from the units or individual respondents directly for the purpose of a certain study or information are known as primary data."
There are broadly four methods of collecting primary data:
- Census Method: a complete enumeration or collection of details from, or about, every unit in the universe is called a census. Indian examples include the population census (held in the first year of every decade since 1872) and the economic and livestock censuses.
- Survey Method: an enquiry confined to a sample, a subset of units selected from the universe. Sampling may be random (every unit has a specified chance of selection) or non-random; the NSSO and the Annual Survey of Industries are well-known random sample surveys.
- Observation Method: records data as things occur, using an accepted method of measurement, for example, recording a patient's body temperature, blood pressure or pulse rate at specified intervals, or daily rainfall in an area.
- Experimental Method: collects data through well-designed and controlled statistical experiments in which all variables other than the one under study are controlled, for instance, determining the rate of manure that maximises crop yield by controlling water, soil and seed quality.
Conclusion: Primary data are gathered first-hand by census (complete enumeration), survey (sampling), observation (recording events as they occur) or controlled experiment, the choice depending on the objective, resources and feasibility of the enquiry.
Sample 4 of 5 · Hypothesis Testing Null Versus Alternative · 12 marks · Block 3 · Priority HIGH
Question. Distinguish between the null hypothesis and the alternative hypothesis. Explain the steps you would follow in testing a hypothesis.
Meaning of a Statistical Hypothesis
"A statistical hypothesis is a conjecture about a population parameter; this conjecture may or may not be true."
Null Versus Alternative Hypothesis
- Null hypothesis (H₀): states that there is no difference between a parameter and a specific value, or no difference between two parameters; it always contains the "equal to" sign.
- Alternative hypothesis (H₁): states the existence of a difference between a parameter and a specific value, or between two parameters, and may be two-tailed, right-tailed or left-tailed.
Steps in Testing a Hypothesis (Traditional Method)
- State the hypotheses: translate the claim into H₀ and H₁ in mathematical symbols.
- Design the study: select the correct statistical test and choose an appropriate level of significance (α), the maximum probability of a Type I error.
- Compute the test value: calculate the statistic from the sample data.
- Make the decision: reject H₀ if the difference is significant; otherwise do not reject it.
- Summarise the results: state the conclusion, keeping in mind the risk of a Type I error (rejecting a true H₀) and a Type II error (not rejecting a false H₀).
Conclusion: The null hypothesis asserts "no difference" and the alternative asserts a difference; testing proceeds by stating the hypotheses, fixing the significance level, computing the test value, deciding and summarising, while balancing Type I and Type II errors.
Sample 5 of 5 · Coefficient of Determination · 12 marks · Block 3 · Priority MEDIUM
Question. Explain the concept and implications of the coefficient of determination.
Meaning of Coefficient of Determination
"The coefficient of determination is the ratio of the explained variation to the total variation and is denoted by r²."
The Underlying Variation
The total variation Σ(Y − Ŷ)² splits into two parts: the explained variation Σ(Yₑ − Ŷ)², attributable to the relationship between X and Y, and the unexplained variation Σ(Y − Yₑ)², due to chance. Thus total variation = explained variation + unexplained variation, and r² = explained variation ÷ total variation.
Implications
- r² is obtained by squaring the correlation coefficient and converting it to a percentage; if r = 0.90, then r² = 0.81, i.e. 81% of the variation in the dependent variable is accounted for by the independent variable.
- the remaining 19% is the coefficient of non-determination, found by subtracting r² from 1; it represents variation that is unexplained.
- the closer r is to +1 or −1, the higher the explained variation and the better the regression line fits the data; a low r (say 0.60) gives r² = 0.36, meaning only 36% of the variation is explained.
Conclusion: The coefficient of determination, r², measures the proportion of the total variation in the dependent variable explained by the independent variable; a high r² signals a good fit, while (1 − r²) is the unexplained, non-determined part.
Those five are the sample. The other eight, covering graphical presentation and the histogram, sets and set operations, Pearson's r with the worked computation, measures of dispersion and reliability, techniques of analysing qualitative data, multivariate data analysis, skewness and kurtosis, and the six short notes, sit inside the full 17 page file.
WhatsApp 9899436384 for the complete BECS-184 file
How We Built This BECS 184 Guess Paper From Six Papers
Six term end papers were read line by line, June 2023, December 2023, June 2024, December 2024, June 2025 and December 2025, and every question was tagged to a block before a single answer was written. The method matters more than the label, because a guess paper built on one year of data is only a copy of last year's paper.
Searches for an IGNOU BECS 184 guess paper usually return files with no stated method at all, which is the reason for setting ours out in full below.
The first pass was purely clerical. Each question in each sitting was written on a row against its block and its mark weight. That produced the grid you can read below, and the grid did the choosing rather than anyone's hunch about what feels important.
The second pass looked for gaps. Two patterns emerged. Some themes, graphical presentation for example, had appeared in all six sittings, which makes them near certain. Others, such as hypothesis testing, had returned in the two most recent sittings after a long gap, which is the classic signature of a theme coming back into rotation. Both types were tagged HIGH for different reasons.
The third pass was the writing. Answers were drafted only from the prescribed IGNOU material for BECS-184 rather than from general statistics textbooks, because examiners for this course reward the book's own definitions and the scholar attributions the book supplies. A learner who wants to check the wording against the original units can read them on the university's own repository at eGyanKosh, which hosts the official BECS-184 self learning material.
The last pass was trimming. A 20 mark answer that runs to 900 words is a liability in a three hour paper, so every long answer was cut back to roughly 450 words and every 12 mark answer to roughly 250 words. That is what a candidate can physically write while leaving time for the rest of the sitting.
BECS 184 Data Analysis Blocks and Units Covered
BECS-184 runs across four blocks and eleven units, and this guess paper draws questions from ten of those eleven units. The single unit left uncovered is unit 3 on statistical software, which has not carried a written question in any of the six sittings we examined.
BECS-184 has no practical file, no viva and no laboratory component. Assessment is a tutor marked assignment plus the term end written paper, which is why a question focused revision paper does more for the final grade here than it would on a course with a project. Candidates studying the code as part of the general degree usually pair this file with our wider BAG guess Paper set for their remaining courses.
| Block and unit | Key topics examined from this unit | Guess paper questions drawn from it |
|---|---|---|
| Block 1 · Unit 1 Mathematical Concepts | Sets, roster and set builder form, union, intersection, difference, symmetric difference, complement | Q4 Sets and Set Operations |
| Block 1 · Unit 2 Statistical Concepts | Mean, median, mode, Pearson's empirical relation, range, mean deviation, standard deviation, coefficient of variation, skewness, kurtosis | Q1 Central Tendency, Q8 Dispersion and Reliability, Q11 Skewness and Kurtosis |
| Block 1 · Unit 3 Introduction to Statistical Software | Spreadsheet and package basics, data entry, output reading | None. No written question in six sittings, so treated as lowest priority |
| Block 2 · Unit 4 Data Collection Methods and Sources | Census, survey, observation and experimental methods, MoSPI, Economic Survey, RBI Handbook | Q7 Primary Data Collection, Q13(f) Sources of Secondary Data |
| Block 2 · Unit 5 Tools of Data Collection | Questionnaire and schedule design, focus group discussion, errors of measurement and reporting | Q13(b) Focus Group Discussion, Q13(c) Non-Sampling Errors |
| Block 2 · Unit 6 Data Presentation | Tabulation, bar diagram, histogram construction, trend reading from curves | Q3 Graphical Presentation and Histogram |
| Block 3 · Unit 7 Univariate Data Analysis | Normal distribution properties, central limit theorem, hypothesis framing, Type I and Type II error | Q6 Hypothesis Testing, Q13(a) Normal Distribution, Q13(d) Central Limit Theorem |
| Block 3 · Unit 8 Bivariate Data Analysis | Pearson's product moment r, correlation versus causation, regression fit, r squared, standard error of estimate | Q5 Correlation and Causation, Q12 Coefficient of Determination, Q13(e) Standard Error of Estimate |
| Block 3 · Unit 9 Multivariate Data Analysis | Factor analysis, multiple regression, discriminant analysis, canonical correlation, MANOVA, cluster and conjoint analysis | Q10 Techniques of Multivariate Data Analysis |
| Block 4 · Unit 10 Construction of Composite Index in Social Sciences | Unidirectional and deprivation indices, normalisation, weighting, the simple ranking method | Q2 Composite Index Concept and Construction |
| Block 4 · Unit 11 Analysis of Qualitative Data | Content, narrative, discourse, framework, grounded theory and thematic analysis | Q9 Techniques of Analysing Qualitative Data |
The mapping in the last column is our editorial judgement after reading the six papers, not an official IGNOU classification. It is published here because a candidate revising from the blocks deserves to know exactly which unit each answer will pay off in.
BECS 184 Important Questions Frequency Across Six Sessions
Three themes appeared in five or six of the six sittings we counted, graphical presentation, composite index construction and measures of central tendency, and these carry the strongest claim on your revision hours. The grid below records the raw count. A tick means the theme carried a question in that sitting.
| Topic | Jun 23 | Dec 23 | Jun 24 | Dec 24 | Jun 25 | Dec 25 | Priority |
|---|---|---|---|---|---|---|---|
| Graphical presentation and histogram | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | HIGH |
| Composite index construction | – | ✓ | ✓ | ✓ | ✓ | ✓ | HIGH |
| Measures of central tendency | – | – | ✓ | ✓ | ✓ | ✓ | HIGH |
| Primary data collection methods | – | – | ✓ | ✓ | ✓ | ✓ | HIGH |
| Coefficient of determination | ✓ | ✓ | – | – | ✓ | ✓ | HIGH |
| Hypothesis testing null and alternative | ✓ | – | – | – | ✓ | ✓ | HIGH |
| Correlation and causation | – | – | ✓ | – | ✓ | ✓ | HIGH |
| Qualitative data analysis techniques | – | ✓ | – | – | ✓ | ✓ | MEDIUM |
| Multivariate data analysis | – | ✓ | – | ✓ | – | ✓ | MEDIUM |
| Secondary data sources and limits | – | – | ✓ | – | ✓ | ✓ | MEDIUM |
| Focus group discussion | ✓ | ✓ | – | ✓ | ✓ | – | MEDIUM |
| Non-sampling errors | ✓ | – | ✓ | – | ✓ | – | MEDIUM |
| Measures of dispersion and variability | ✓ | ✓ | ✓ | – | – | – | MEDIUM |
| Set theory and set operations | – | – | – | ✓ | ✓ | – | MEDIUM |
| Skewness and kurtosis | ✓ | – | – | ✓ | – | – | MEDIUM |
| Normal distribution | – | ✓ | – | – | ✓ | – | MEDIUM |
| Classification and types of data | – | – | – | – | ✓ | ✓ | MEDIUM |
| Estimation and a good estimator | – | ✓ | – | ✓ | – | – | MEDIUM |
| Questionnaire characteristics | – | – | – | ✓ | ✓ | – | MEDIUM |
| Random variable and probability distribution | – | – | – | ✓ | – | ✓ | MEDIUM |
| Sampling frame and survey planning | – | ✓ | – | – | – | ✓ | MEDIUM |
| Case study as a research tool | – | ✓ | ✓ | – | – | – | LOW |
| Measures of position and percentile rank | – | – | ✓ | – | – | – | LOW |
| ANOVA and MANOVA | ✓ | – | – | – | – | – | LOW |
The grid is also the honest answer to what people mean when they search for IGNOU BECS 184 important questions. A theme is important here because it kept returning, not because it looked important in the contents page.
Read the LOW rows as a permission slip rather than a warning. Mathematical modelling and logic, percentile rank arithmetic, the ANOVA family and long software procedures have each surfaced once at most, so they belong at the bottom of a short revision list. Anyone who wants to verify a single row against the original sitting can open the relevant BECS 184 Question paper and count for themselves.
A learner who wants to check our workings against the originals can pull the source sheets from our IGNOU Previous Year Question Paper section and repeat the count independently.
BECS 184 Exam Pattern and Answer Length Targets
Across all six sittings we read, the BECS-184 paper ran to 100 marks in three hours with Section A carrying two long answers of 20 marks and Section B carrying five answers of 12 marks. Section B has closed with a short note question worth three marks each on any three of six options in every recent sitting.
The arithmetic that follows from that pattern is what most candidates get wrong. Forty marks come from two answers, which means each long answer is worth twenty times a single short note point. Spending forty minutes on a 20 mark answer is not indulgence, it is the correct allocation, and the 450 word target in this file is built around it.
Word targets used throughout the paper are 450 words for a 20 mark question, 250 words for a 12 mark question and 150 words for each short note. These are not padding limits. They are the length at which a definition, three to six substantive points, the required figure and a conclusion line all fit without the handwriting collapsing in the final hour.
Science stream candidates taking the code alongside their core papers often combine this with our BSCG guess Paper material to plan the whole sitting.
Examiners for this course reward four habits in particular. Open with a definition and name the scholar where the book names one, Karl Pearson, Croxton and Cowden, or the UNDP. Cite the year the book gives. Pair each method with the example or the formula the book supplies. Close with a short evaluative line rather than stopping mid list.
Confirm your own sitting and hall ticket details on the university's own official IGNOU website before you plan the revision calendar, since term end dates shift.
Who Should Use the BECS 184 Guess Paper 2026
Anyone appearing in BECS-184 Data Analysis in the June 2026 or December 2026 term end examination will find this file useful, and it is written for candidates across BA, BCom, BSc and BCA programmes where the code sits as a skill enhancement course. The paper does not assume a mathematics background.
Candidates searching for Data Analysis important questions from any of these programmes land on the same eleven units, because IGNOU runs one common BECS-184 syllabus and one common question paper across all of them.
Economics candidates carry the heaviest load in this course because the composite index and regression material recurs in their core papers as well. For them the answers here double as revision notes for two subjects rather than one, and the same cohort usually collects our BA Honours in Economics guess Paper set for the rest of the semester.
History candidates tend to reach BECS-184 with the least statistical confidence and the most anxiety about the numerical questions. The good news from the frequency grid is that only two of the thirteen questions carry any computation at all, and both are worked through step by step in the file. Candidates in that programme can plan the remaining papers with our BA Honours in History guess Paper material.
Political science candidates often meet composite indices again in development and governance papers, so question 2 repays the effort twice over. Anyone building a full revision plan around the sitting will want the BA Honours in Political Science guess Paper alongside this one.
Public administration candidates use the survey and secondary data material directly in their policy papers, where MoSPI publications and the Economic Survey are standard citations. That overlap makes questions 7 and 13(f) worth memorising properly, and the cohort typically pairs this file with the BA Honours in Public Administration guess Paper.
Anthropology candidates get the most direct benefit from the qualitative half of the course, since content analysis, narrative analysis and grounded theory are the techniques they will use in fieldwork. Question 9 is written with that in mind, and the wider BSc in Anthropology guess Paper set covers the rest of their sitting.
One group should think twice. If you have not opened the BECS-184 blocks at all and the examination is a week away, use this file as your reading list and go back to the units for the two or three HIGH questions you find hardest. A guess paper compresses revision. It does not replace a first reading.
How to Get the Complete BECS 184 Solved Guess Paper
Send one WhatsApp message to 9899436384 with your course code and the session you are appearing in, and the complete 17 page file with all 13 answers is shared with you directly. No account, no form and no waiting for an email that lands in spam.
Tell us the code as BECS-184, the session as June 2026 or December 2026, and the programme you are enrolled in. That last detail matters because it lets us flag any other codes in your sitting that we already hold material for, rather than making you ask code by code.
If a question in the file is not clear once you have it, message the same number. Our faculty answer subject queries on BECS-184 for candidates holding the file, which is the part a downloaded PDF from a random site cannot give you.
Get the full BECS-184 guess paper on WhatsApp 9899436384
BECS 184 Guess Paper Frequently Asked Questions
How many questions does the BECS 184 guess paper 2026 contain?
The BECS-184 file contains 13 questions with complete answers across 17 pages. Five of them are printed in full on this page at no cost and the remaining eight are shared on WhatsApp request. The split is five questions of 20 marks and eight of 12 marks, which matches the section weighting seen in the recent term end papers for this course.
Which sessions is the BECS 184 guess paper 2026 valid for?
It targets the June 2026 and December 2026 term end examinations for BECS-184 Data Analysis. IGNOU conducts term end examinations in June and December only, so a single file covers both sittings of the calendar year. The frequency analysis behind it runs from the June 2023 paper to the December 2025 paper, which is the six most recent sittings available.
Are the BECS 184 important questions answers written from the IGNOU book?
Yes. Every answer for BECS-184 is drafted from the prescribed IGNOU self learning material rather than from general statistics textbooks. That matters because examiners for this course reward the book's own definitions and its scholar attributions, such as Croxton and Cowden on the mode or Karl Pearson on the empirical relation between mean, median and mode.
Does the BECS 184 guess paper include diagrams and worked calculations?
It does. Question 3 carries a constructed histogram of 150 students on a numerical ability test, question 5 carries a scatter plot with the full step by step computation of Pearson's r, and question 11 carries both the three skewness curves and the kurtosis overlay. Diagram questions in BECS-184 lose marks when the figure is missing, so the figures are drawn ready to copy.
Which blocks and units of BECS 184 Data Analysis does the guess paper cover?
All four blocks are covered and ten of the eleven units carry at least one question. Only unit 3 on statistical software is left out, because it has not produced a written question in any of the six sittings analysed. The block and unit table above shows exactly which guess paper question maps to which unit of BECS-184.
Is a guess paper enough to pass BECS 184 Data Analysis?
For a candidate who has read the blocks once, this BECS-184 file is usually sufficient for a comfortable pass because it covers every theme that recurred across six sittings. For a candidate starting from zero a week before the paper, it works better as a prioritised reading list pointing back to the units. It compresses revision rather than replacing study.
Does BECS 184 Data Analysis have a practical file or project?
No. BECS-184 is assessed through a tutor marked assignment and a written term end paper only. There is no practical file, no viva and no laboratory record to submit. That is why a question focused revision paper carries more weight for this code than it would for a course with a project component attached to the final grade.
How do I get the complete BECS 184 solved guess paper?
Message 9899436384 on WhatsApp with the course code BECS-184, your session and your programme name. The complete 17 page file is shared directly on the same chat. Subject queries on the answers are handled by the same faculty afterwards, so a doubt on the composite index steps or the r squared logic does not go unanswered.