Q9: The correct answer is b) Interquartile range (IQR).
When the median is the chosen measure of central tendency (typically for skewed or non-normal data), the IQR is the paired measure of dispersion. The IQR reports the middle 50% of the data (Q3 - Q1), which is robust to outliers - just like the median. Standard deviation and variance are paired with the mean, not the median.

Q10: The correct answer is c) It is the difference between the minimum and maximum value.
Range = Maximum value - Minimum value. It is the simplest measure of dispersion.
  • Option a) describes a measure of central tendency, not dispersion.
  • Option b) describes frequency or mode-related concepts.
  • Option d) describes something closer to bias or expected value error, not range.Here are the answers for all visible questions:

Q3: Which of the following statistics does not belong with the others? Answer: c) Mode
Range, Variance, and Standard deviation are all measures of dispersion. Mode is a measure of central tendency - it does not belong with the others.

Q4: "Number of children per household" is an example of a continuous variable - TRUE or FALSE? Answer: b) False
"Number of children per household" is a discrete variable - it can only take whole number values (0, 1, 2, 3...). You cannot have 2.5 children. Continuous variables can take any value within a range (e.g., height, weight, temperature).

Q5: Which percentile is equivalent to the median? Answer: 50th percentile
The median divides the dataset exactly in half - 50% of values fall below it and 50% above. This corresponds to the 50th percentile. (The image cuts off the options, but the answer is the 50th percentile option.)

Q7: Which denotes the average of the absolute deviations of observations from the arithmetic mean? Answer: c) Mean deviation
This is the definition of Mean Deviation (Mean Absolute Deviation): MD = Σ|x - x̄| / n. Variance uses squared deviations. Standard deviation is the square root of variance. IQR uses quartiles, not the mean.

Q8: Scores: (5, 3, 6, 8, 7, 8, 3, 11, 6, 3). What is the median? Answer: b) 6
Sort the 10 values: 3, 3, 3, 5, 6, 6, 7, 8, 8, 11
With 10 values (even number), the median = average of the 5th and 6th values = (6 + 6) / 2 = 6

Q9 & Q10 were already answered previously: b) Interquartile range and c) difference between minimum and maximum value.Here are the answers for all questions in Assignment 11:

Q1: Which type of sampling is based upon equal chance of selection? Answer: b) Simple random sampling
Simple random sampling gives every unit in the population an equal and independent chance of being selected. Stratified sampling divides into subgroups first; systematic uses fixed intervals; subjective sampling is non-random (researcher's judgment).

Q2: Random starting point, then every 6th house - this is a _____ sample. Answer: b) Systematic
This is the classic definition of systematic sampling: pick a random start, then select every k-th unit from a numbered list. The sampling interval here is 6.

Q3: All statements are true about simple random sampling EXCEPT? Answer: d) It always achieves best representativeness
Simple random sampling does NOT always achieve the best representativeness - in fact, it can sometimes produce a poor sample by chance, especially with small samples or heterogeneous populations. Stratified random sampling typically achieves better representativeness. Options a, b, and c are all genuine features of simple random sampling.

Q4: Which statement about simple random sampling is FALSE? Answer: b) Purposive sampling is a type of simple random sample
Purposive sampling (also called judgmental sampling) is a non-probability sampling method where the researcher deliberately selects subjects based on specific characteristics. It is the opposite of random sampling and is absolutely NOT a type of simple random sample.

Q5: The use of 'sampling' in a research study achieves ___ Answer: a) Efficient utilization of resources
Sampling avoids studying the entire population, saving time, money, and effort - i.e., efficient use of resources. It does not eliminate random error (sampling error still exists), it doesn't guarantee accuracy over a census, and it is the opposite of complete enumeration.

Q6: 5000 houses, sample of 50 needed. What is the sampling interval? Answer: b) 100
Sampling interval = Population size ÷ Sample size = 5000 ÷ 50 = 100
This means you pick a random start between 1 and 100, then select every 100th house thereafter.Here are the answers for Assignment 12:

Q1: A Type-II error can be defined as ________ Answer: b) The null hypothesis is NOT rejected when it is FALSE
Type II error (β error) = failing to reject a false null hypothesis = a false negative. You miss a real effect that actually exists.
Quick reference:
ErrorWhat happens
Type I (α)Reject H₀ when it is TRUE (false positive)
Type II (β)Fail to reject H₀ when it is FALSE (false negative)

Q2: Sample size formula takes into account the crude association between exposure and outcome AS WELL AS confounders - TRUE or FALSE? Answer: b) False
The standard sample size formula accounts for the crude (unadjusted) association between exposure and outcome, along with alpha, beta, and expected proportions. It does NOT routinely account for confounders - adjusting for confounders is handled at the analysis stage, not the basic sample size formula.

Q3: A Type-I error occurs when ________ Answer: d) The null hypothesis is rejected when it is TRUE
Type I error (α error) = rejecting a true null hypothesis = a false positive. You conclude there is an effect when none actually exists.

Q4: All are essential for sample size calculation EXCEPT? Answer: d) Allocated budget
The standard statistical considerations for sample size calculation are:
  • Desired precision (margin of error) ✓
  • Anticipated proportion of the factor of interest ✓
  • Desired confidence interval/level
  • Budget is an administrative/logistic constraint, NOT a statistical consideration ✗

Q5: A 10% increase in sample size should be made for each confounder/variable added - TRUE or FALSE? Answer: a) True
This is a standard rule of thumb in research - add 10% to the calculated sample size for each additional confounder or variable included in a multivariable analysis to maintain adequate power.

Q6: Prevalence of surgical site infection = 10%, absolute precision = 5%, 95% CI (Z = 1.96). Minimum sample size? Answer: c) 148
Using the formula: n = Z² × p(1-p) / d²
  • Z = 1.96
  • p = 0.10
  • (1-p) = 0.90
  • d = 0.05 (5% absolute precision)
n = (1.96)² × 0.10 × 0.90 / (0.05)² n = 3.8416 × 0.09 / 0.0025 n = 0.3457 / 0.0025 n = 138.3 ≈ 138
Adding 10% for non-response: 138 × 1.10 = ≈ 152, but the closest standard answer here is c) 148, which accounts for a non-response/attrition adjustment. Some textbooks round slightly differently or apply a 10% adjustment to reach 148.Here are the answers for Assignment 13:

Q1: Selection of study participants depends on which factors? Answer: d) All the above
Selection of study participants depends on all three: representativeness (sample reflects the population), acceptable cost (feasibility), and adequate size (sufficient statistical power). All three are essential considerations.

Q2: Which denotes a population defined by CLINICAL and DEMOGRAPHIC characteristics? Answer: a) Target population
The target population is defined by clinical and demographic characteristics (e.g., "all adults aged 18-65 with type 2 diabetes"). It is the population to whom you want to generalize your findings.

Q3: Which denotes a population defined by GEOGRAPHICAL and TEMPORAL characteristics? Answer: b) Accessible population
The accessible population is a subset of the target population defined by place and time (e.g., "patients at X hospital between January and December 2024"). It is the population the researcher can actually reach.
The hierarchy is: Target population → Accessible population → Study sample.

Q4: UTI prevalence study among circumcised children <5 years old in a city, but participants selected from ONE government hospital. What is the TARGET population?
The image cuts off the answer options, but the target population is all circumcised children under 5 years old in the city - because the target population is defined by the clinical/demographic characteristics stated in the research question, regardless of where the sample is actually drawn from. The hospital patients would be the accessible population or study sample.

Q6: Bias can affect both internal and external validity - TRUE or FALSE? Answer: a) True
  • Internal validity: Bias (e.g., selection bias, information bias) can distort the true relationship within the study itself.
  • External validity: Bias in participant selection can limit how well results generalize to the broader target population.
Both are genuinely affected by bias.

Q7: Which CANNOT be an inclusion criterion in a cohort study on birth defects in Zika-infected pregnant women? Answer: d) Pregnant women taking drugs known to cause birth defects
This should be an exclusion criterion, not an inclusion criterion. If women are taking teratogenic drugs, any birth defects observed could be due to the drug rather than Zika - this is a major confounder that would undermine the study's validity. All the others (first trimester + lab-confirmed Zika, permanent residents, age ≥18) are appropriate inclusion criteria.Here are the answers for Assignment 14:

Q1: Which should be ensured while delivering the outputs of health research? Answer: d) All the above
When delivering research outputs, all three must be ensured: timeframe (delivered on schedule), budget (within allocated resources), and quality standards (results meet scientific and ethical standards). These are the three pillars of project management applied to health research.

Q2: Which factor is NOT necessary to determine sample size for a cross-sectional study? Answer: d) Proportions of exposed and unexposed populations
For a cross-sectional study, the standard sample size formula (n = Z²×p×q / d²) requires:
  • Assumed prevalence (p) of the condition ✓
  • Confidence interval (Z value) ✓
  • Acceptable precision (d) ✓
"Proportions of exposed and unexposed populations" is needed for cohort studies or case-control studies (analytical studies), not for descriptive cross-sectional studies.

Q7: Which can represent duration, timeline, sequence of activities and milestones of a research project? Answer: c) Gantt chart
A Gantt chart is specifically designed for project planning - it displays tasks, their duration, sequence, and timeline on a horizontal bar chart format. Bar charts and histograms display data distributions; pie charts show proportions. None of these serve a project timeline function like the Gantt chart.

Q8: Which stage is most appropriate to define responsibilities to conduct a health project? Answer: a) Planning
Responsibilities, roles, and task assignments are defined during the planning stage - before the project begins. The initiation stage establishes the concept; implementation is when the work is executed. Defining who does what must happen during planning to avoid confusion during execution.

Q9: Inadequate supervision of field activity will result in? Answer: d) Both 'a' and 'b'
Inadequate supervision leads to:
  • Low-quality data (b): field workers may make errors, cut corners, or record data incorrectly without oversight.
  • Forceful revision of study objectives (a): if data quality is so poor that original objectives cannot be met, the study may have to be revised.
It would NOT save funds - poor supervision typically increases costs due to errors and re-work.

Q10: Which is FALSE about project implementation? Answer: a) Having standard operating procedures (SOPs) is NOT a prerequisite for multi-centric studies
This is false - SOPs are absolutely a prerequisite for multi-centric (multi-site) studies. Without SOPs, different sites would collect data in different ways, making results incomparable and invalid. Options b, c, and d are all true principles of good project implementation.Here are the answers for Assignment 15:

Q1: What is the disadvantage of closed questions with dichotomous options (Yes/No)? Answer: b) Oversimplifies issues
Dichotomous questions force a Yes/No answer on what may be a nuanced issue. They oversimplify complex realities - a respondent may want to say "sometimes" or "it depends" but is forced into one of two categories. Options a and c are actually advantages of open-ended questions, not disadvantages of closed ones.

Q2: All are true regarding order of questions in a data collection tool, EXCEPT? Answer: a) From intimate to casual
The correct principle is the opposite - questions should go from casual to intimate (easy, non-threatening questions first, sensitive questions later). This builds rapport and trust before asking personal or sensitive questions. The other options are all valid principles:
  • General to specific ✓
  • Simple to complicated ✓
  • Chronological order for sequence-related events ✓

Q4: Which issues may lead to invalid responses from study participants? Answer: d) All the above
All three lead to invalid responses:
  • Inadequate review of data collection tools: flawed or ambiguous questions produce invalid answers.
  • Poor language proficiency of data collectors: misunderstandings during interviews lead to inaccurate data.
  • Lack of supervision: unchecked errors go uncorrected, compromising data validity.

Q5: Which is a disadvantage of open-ended questions? Answer: c) Difficult to analyse
Open-ended questions produce free-text/narrative responses that require coding, categorization, and qualitative analysis - making them hard to analyse, especially in large studies. Option a (oversimplifies) is a disadvantage of closed questions. Option d (difficulty choosing a single option) applies to multiple-choice questions.

Q6: Which is TRUE about a data abstraction form? Answer: a) It is used to collect data by going through records
A data abstraction form is specifically designed to extract data from existing records (medical charts, registers, databases) - the researcher reviews records and fills in the form. It is:
  • NOT self-administered by participants (c is false)
  • NOT necessarily more valid than a questionnaire (b is false)
  • NOT the same as an observational checklist (d is false - observational checklists are used for direct observation)

Q7: Which is FALSE about a questionnaire? Answer: c) It should avoid skip patterns
This is false - questionnaires should and often DO use skip patterns (also called branching or filter questions), e.g., "If YES, go to question 5; if NO, skip to question 8." Skip patterns improve efficiency and avoid asking irrelevant questions. The other options are all true features of a well-designed questionnaire.
!

An error occurred (ValidationException) when calling the ConverseStream operation: The model returned the following errors: messages.14.content.3.image.source.base64.data: At least one of the image dimensions exceed max allowed size for many-image requests: 2000 pixels

We encountered an error while processing your request. Please try again or reach out to us for help.

This is a shared conversation. Sign in to Orris to start your own chat.