Biostatistics MCQs | BIO401 MCQs | Set 1
Biostatistics MCQs | BIO401 MCQs | Set 1
MCQs (Multiple Choice Questions)
1) A descriptive value for a population is called:
a) Descriptive Statistics
b) Parameter
c) Statistics
d) Inferential Statistics
Correct Answer:
The correct answer is 'b'.
Explanation:
Parameters are characteristics or measures that describe a population. They are generally fixed and typically derived from measurements of the entire population. On the other hand, statistics.
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2) Sample is the subset of a collection of all possible entities which is described by _____.
a) Statistical data
b) All
c) Statistical inference
d) Statistical analysis
Correct Answer:
The correct answer is 'a'.
Explanation:
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3) The drawing of inferences about a body of data, when only a part of data is observed is called:
b) All given
d) Statistics
Correct Answer:
The correct answer is 'a'.
Explanation:
Sampling is the process of drawing a subset of a population to make inferences about the whole population. This is done because it is often impractical or impossible to measure the entire population.
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4) Purpose of stratified random sampling is:
a) All of these
b) Sampling problems may differ in each strata
c) To insure representation of each strata, oversample smaller population groups
d) Administrative convenience field offices
Correct Answer:
The correct answer is 'a'.
Explanation:
The purpose of stratified random sampling is a) All of these. Stratified random sampling aims to address various factors and achieve several goals, including:
b) Sampling problems may differ in each strata: Stratified sampling helps to ensure that different strata (subgroups) of the population, which may have unique characteristics or issues, are adequately represented in the sample.
c) To ensure representation of each strata, oversample smaller population groups: It involves intentionally dividing the population into distinct subgroups (strata) and then proportionally or deliberately oversampling smaller groups to ensure their representation in the final sample.
d) Administrative convenience field offices seems unrelated and doesn't describe the primary purpose of stratified random sampling.
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5) Which one is not the type of Probability Sampling designs?
a) Non-systematic sampling
b) Systematic sampling
c) Cluster (area) sampling
d) Multistage sampling
Correct Answer:
The correct answer is 'a'.
Explanation:
The type of sampling that is not considered a Probability Sampling design is Non-systematic sampling. Non-systematic sampling, often known as convenience sampling or accidental sampling, does not involve a random selection process. Instead, it relies on the selection of readily available subjects or units, and it lacks the randomization characteristic found in probability sampling methods.
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6) If we wish to check the BP values of some patients in a hospital then all patients admitted in hospital are
a) Population
b) Sample
c) Source
d) Data
Correct Answer:
The correct answer is 'a'.
Explanation:
If you wish to check the blood pressure values of some patients in a hospital, then Population refers to all the patients admitted to the hospital. The population is the entire group or set of individuals that you are interested in studying or from which you want to draw conclusions. In this case, it would be all the patients admitted to the hospital.
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7) Mean of values 115, 110, 119, 117, 121 and 126 is:
a) 119
b) 117
c) 118
d) 120
Correct Answer:
The correct answer is 'c'.
Explanation:
To find the mean (average) of the given values: 115, 110, 119, 117, 121, and 126, add all the values together and then divide by the total number of values.
Mean = `{115 + 110 + 119 + 117 + 121 + 126} /6`
Adding the values: 115 + 110 +119 + 117 + 121 + 126 = 708
Now, divide the sum by the total number of values (6):
Mean = `708/6` = 118
Therefore, the mean of the given values is 118.
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8) We need sampling for ________ purpose
a) Speed
b) Economy
c) All of these
d) Accuracy
Correct Answer:
The correct answer is 'c'.
Explanation:
We need sampling for c) All of these purposes. Sampling is utilized for various reasons including:
Speed: Sampling allows data collection to be carried out more quickly as it involves studying a subset rather than the entire population.
Economy: Sampling is cost-effective as it can reduce the resources required for data collection when compared to studying the entire population.
Accuracy: Properly conducted, sampling can provide accurate and reliable results, ensuring that conclusions drawn from the sample represent the population with a high degree of accuracy.
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9) _______ is a computer program used to create electronic spreadsheets.
a) Word
b) Access
c) SPSS
d) Excel
Correct Answer:
The correct answer is 'd'.
Explanation:
Excel is a computer program used to create electronic spreadsheets. Excel, developed by Microsoft, is a widely used application that allows users to input, organize, and manipulate data within a grid of cells arranged in rows and columns, commonly known as spreadsheets.
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10) An assumption about the population parameter is__________.
a) Significance
b) Inference
c) Hypothesis
d) Probability
Correct Answer:
The correct answer is 'c'.
Explanation:
The assumption about the population parameter is typically addressed through Hypothesis. In statistical analysis, a hypothesis is a statement or assumption made about a population parameter that can be tested using data from a sample. This hypothesis is often tested using statistical methods to draw conclusions about the population based on the sample data.
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