Biostatistics MCQs | BIO401 MCQs | Set 3
Biostatistics MCQs | BIO401 MCQs | Set 3
MCQs (Multiple Choice Questions)
1) Example of simple random sampling is:
a) All
b) Get list of client over past year
c) Client assessment of quality of service
d) Small service agency
Correct Answer:
The correct answer is 'a'.
Explanation:
Simple random sampling is a probability sampling method where each member of the population has an equal chance of being selected for the sample.
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2) A _________ is a visual representation of the five-number summary of the distribution of a numerical variable.
a) all of these
b) distributive table
c) wisker plot
d) boxplot
Correct Answer:
The correct answer is 'd'.
Explanation:
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3) If the random variable X can have only countable many values x1, x2, . . . , we say, that it has a?
b) continuous distribution
d) series distribution
Correct Answer:
The correct answer is 'c'.
Explanation:
A discrete distribution refers to a probability distribution describing a random variable that can take on a finite number of distinct values or a countable infinite set of values with gaps between them. This differs from a continuous distribution, which involves an uncountably infinite range of values within a continuum.
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4) _________is affected by extreme values:
a) All of these
b) Mode
c) Mean
d) Median
Correct Answer:
The correct answer is 'c'.
Explanation:
Extreme values or outliers can significantly impact the mean (average) by skewing it towards their direction, especially in asymmetric distributions. The mean is sensitive to extreme values because it takes into account the value of each data point when calculating the average. On the other hand, the median and mode are less affected by extreme values.
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5) Probability sampling is divided into
a) 6
b) 7
c) 5
d) 4
Correct Answer:
The correct answer is 'c'.
Explanation:
There are five main types of probability sampling:
- Simple random sampling
- Stratified sampling
- Cluster sampling
- Systematic sampling
- Multi-stage sampling
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6) The General Population that the study seeks to understand. Which of the following is NOT a Characteristics of a good sample?
a) It captures most of the variation in the population.
b) Obtained by using proper sampling methodology
c) It should be representative.
d) Informative with maximum use of resources.
Correct Answer:
The correct answer is 'd'.
Explanation:
Informative with maximum use of resources is not a characteristic of a good sample. A good sample should be representative of the population, meaning that it should have the same characteristics as the population as a whole. This is more important than simply making sure that the sample is informative or that it uses resources efficiently.
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7) The _______ is the hypothesis that is believed to be true by the researcher.
a) Null hypothesis
b) Rejected hypothesis
c) Alternative hypothesis
d) None
Correct Answer:
The correct answer is 'c'.
Explanation:
The hypothesis that is believed to be true by the researcher is the Alternative hypothesis. The alternative hypothesis is the statement that the researcher aims to support or prove. It's the hypothesis that suggests there is a significant effect, relationship, or difference between groups, and it stands in contrast to the null hypothesis.
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8) ___________ for data sets with few different values. Each value is in its own class.
a) Ungrouped Frequency Distribution
b) Grouped Frequency Distribution
Correct Answer:
The correct answer is 'a'.
Explanation:
In an ungrouped frequency distribution, each distinct value in the dataset is listed separately, along with the frequency of its occurrence, without combining values into intervals or classes.
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9) _______ Has the same shape and the same horizontal c as the corresponding frequency histogram.
a) Relative Frequency Distribution
b) Relative Frequency Histogram
Correct Answer:
The correct answer is 'b'.
Explanation:
The Relative Frequency Histogram has the same shape and the same horizontal axis (or scale) as the corresponding frequency histogram. It displays the same data but in relative proportions (as percentages or proportions) instead of raw frequencies.
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10) Median for the given values 23, 28, 28, 31, 32, 34, 37, 42, 50, 61 will be:
a) 35
b) 32
c) 34
d) 33
Correct Answer:
The correct answer is 'd'.
Explanation:
To find the median for the given values: 23, 28, 28, 31, 32, 34, 37, 42, 50, 61, first, let's arrange them in ascending order:
23, 28, 28, 31, 32, 34, 37, 42, 50, 61
As there are 10 values, the median would be the average of the 5th and 6th values when arranged in order.
Median = (32 + 34) / 2 = 66 / 2 = 33
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