Developmental Biology and Biotechnology

Biostatistics Practice Questions

39 free Biostatistics practice questions for the Zoology. Tap an option to answer — you get instant feedback, the correct answer, and a detailed explanation for every question.

Practice in Quiz Mode

Question 1 of 39 Medium

Biostatistics is primarily concerned with:

  1. A Qualitative description of organisms and traits
  2. B Collection and analysis of biological data
  3. C Chemical analysis of tissues
  4. D Microscopic study of cells and structures

Correct answer: Collection and analysis of biological data

Biostatistics deals with collecting, organizing, analyzing, and interpreting biological data. It helps in drawing valid conclusions from experimental and observational studies.

Question 2 of 39 Medium

Which of the following best describes a data set?

  1. A A hypothesis that is currently under testing
  2. B A collection of observations or measurements
  3. C A specific type of statistical test applied
  4. D A calculated probability value from a test

Correct answer: A collection of observations or measurements

A data set consists of recorded observations or measurements collected during a study. These values are later analyzed using statistical methods.

Question 3 of 39 Medium

Numerical data that can take any value within a range is called:

  1. A Discrete data
  2. B Categorical data
  3. C Continuous data
  4. D Ordinal data

Correct answer: Continuous data

Continuous data can take infinitely many values within a given range, such as height or weight. These data are usually measured rather than counted.

Question 4 of 39 Medium

Which measure of central tendency represents the average of all observations?

  1. A Middle value when data is sorted
  2. B Most frequently occurring value
  3. C Sum of all values divided by count
  4. D Difference between max and min values

Correct answer: Sum of all values divided by count

The mean is calculated by summing all observations and dividing by their number. It provides a measure of the central value of the data.

Question 5 of 39 Medium

The median of a data set is defined as the:

  1. A Most frequently occurring value
  2. B Arithmetic average of all values
  3. C Middle value in an ordered data set
  4. D Difference between the highest and lowest values

Correct answer: Middle value in an ordered data set

The median is the middle value of an ordered data set. It is less affected by extreme values than the mean.

Question 6 of 39 Medium

Which measure indicates how spread out the data values are?

  1. A Average of all data values
  2. B Middle value in ordered data
  3. C Average squared deviation from the mean
  4. D Most frequently occurring value

Correct answer: Average squared deviation from the mean

Variance measures the average squared deviation from the mean. It reflects the degree of dispersion in a data set.

Question 7 of 39 Medium

Standard deviation is best described as:

  1. A Square of the variance
  2. B Average of observations
  3. C Square root of variance
  4. D Difference between extreme values

Correct answer: Square root of variance

Standard deviation is the square root of variance. It provides a measure of data dispersion in the same units as the original data.

Question 8 of 39 Medium

Which term refers to a subset of a population selected for study?

  1. A A value describing a population characteristic
  2. B Any measurable characteristic of interest
  3. C A subset of a population selected for study
  4. D A numerical summary from sample data

Correct answer: A subset of a population selected for study

A sample is a smaller group selected from a population to represent it. Statistical inferences about the population are often based on sample data.

Question 9 of 39 Medium

Random sampling is important because it:

  1. A Increases sample size
  2. B Eliminates measurement error
  3. C Reduces sampling bias
  4. D Ensures equal data values

Correct answer: Reduces sampling bias

Random sampling gives each member of the population an equal chance of selection. This reduces bias and improves representativeness.

Question 10 of 39 Medium

Which sampling method divides the population into subgroups before sampling?

  1. A Random sampling
  2. B Systematic sampling
  3. C Stratified sampling
  4. D Convenience sampling

Correct answer: Stratified sampling

Stratified sampling involves dividing the population into strata and sampling from each group. This ensures representation of all subgroups.

Question 11 of 39 Medium

Probability is defined as:

  1. A Favorable outcomes divided by total possible outcomes
  2. B The observed difference between two events
  3. C The relative frequency of an event over time
  4. D The arithmetic mean of all trial outcomes

Correct answer: Favorable outcomes divided by total possible outcomes

Probability quantifies the likelihood of an event occurring. It is calculated as the number of favorable outcomes divided by total possible outcomes.

Question 12 of 39 Medium

The probability of an impossible event is:

  1. A Exactly zero — the event cannot occur
  2. B Exactly 0.5 — the event is equally likely
  3. C Exactly 1 — the event is certain to occur
  4. D Greater than 1 — the event is highly likely

Correct answer: Exactly zero — the event cannot occur

An impossible event cannot occur, so its probability is zero. Probability values always lie between 0 and 1.

Question 13 of 39 Medium

Which probability distribution is commonly used for biological measurements?

  1. A Binomial distribution
  2. B Poisson distribution
  3. C Normal distribution
  4. D Geometric distribution

Correct answer: Normal distribution

Many biological traits follow a normal distribution with a bell-shaped curve. This distribution is symmetrical around the mean.

Question 14 of 39 Medium

In a normal distribution, most observations are clustered around the:

  1. A The minimum extreme value
  2. B The maximum extreme value
  3. C The central mean of the distribution
  4. D The full range of the data

Correct answer: The central mean of the distribution

In a normal distribution, the highest frequency of values occurs near the mean. Values taper off symmetrically on both sides.

Question 15 of 39 Medium

Which term describes the number of times an event occurs in a data set?

  1. A The likelihood of an event occurring
  2. B The count of occurrences of a value
  3. C The arithmetic average of values
  4. D The spread of values around the center

Correct answer: The count of occurrences of a value

Frequency refers to how often a particular value or event appears in a data set. It forms the basis of many statistical analyses.

Question 16 of 39 Medium

A variable that can take only whole number values is called:

  1. A Continuous variable
  2. B Dependent variable
  3. C Discrete variable
  4. D Independent random variable

Correct answer: Discrete variable

Discrete variables take countable, often whole-number values, such as number of offspring. They differ from continuous variables that can take any value.

Question 17 of 39 Medium

Which graphical method is best for representing frequency distribution?

  1. A Pie chart
  2. B Histogram
  3. C Line graph
  4. D Scatter plot

Correct answer: Histogram

A histogram displays frequencies of continuous data grouped into intervals. It is useful for visualizing distribution patterns.

Question 18 of 39 Medium

Sampling error arises mainly due to:

  1. A A larger-than-expected population size
  2. B Use of poorly calibrated instruments
  3. C Random variation between sample and population
  4. D Systematic errors in the data analysis process

Correct answer: Random variation between sample and population

Sampling error occurs because a sample may not perfectly represent the population. It arises from random variation during sampling.

Question 19 of 39 Medium

Which statistical term refers to a numerical characteristic of a population?

  1. A Statistic
  2. B Variable
  3. C Parameter
  4. D Sample mean

Correct answer: Parameter

A parameter is a numerical value that describes a characteristic of an entire population. It is usually estimated using sample statistics.

Question 20 of 39 Medium

Why is biostatistics important in developmental biology studies?

  1. A To describe the physical structures of cells
  2. B To accurately interpret experimental data
  3. C To identify and classify new species
  4. D To categorize organisms into taxonomic groups

Correct answer: To accurately interpret experimental data

Biostatistics helps analyze experimental data and determine whether observed patterns are meaningful. This ensures reliable conclusions in developmental biology research.

Question 21 of 39 Medium

Which of the following describes a 'Parameter' in biostatistical analysis?

  1. A A characteristic of a small sample
  2. B The numerical result of a single random observation
  3. C A variable that cannot be measured directly
  4. D A numerical value describing a whole population

Correct answer: A numerical value describing a whole population

A parameter is a fixed value that describes a specific characteristic of an entire population (e.g., population mean), whereas a statistic describes a sample.

Question 22 of 39 Medium

In a study of larval growth, if the data is highly skewed by a few extreme outliers, which measure of central tendency is most reliable?

  1. A Arithmetic Mean
  2. B Geometric Mean
  3. C Median
  4. D Mode

Correct answer: Median

The median is the middle value of a data set and is less affected by outliers or skewed distributions compared to the mean, making it a more robust measure for such data.

Question 23 of 39 Medium

If the probability of a specific gene mutation occurring in a population is 0.25, what is the probability that the mutation does NOT occur?

  1. A 0.25
  2. B 0.50
  3. C 0.75
  4. D 1.00

Correct answer: 0.75

The sum of the probabilities of all possible mutually exclusive events must equal 1. Therefore, P(not occurring) = 1 - P(occurring) = 1 - 0.25 = 0.75.

Question 24 of 39 Medium

Which sampling technique ensures that every individual in the population has an equal and independent chance of being selected?

  1. A Simple random sampling
  2. B Systematic sampling
  3. C Non-probability convenience sampling
  4. D Purposive sampling

Correct answer: Simple random sampling

Simple random sampling is a probability sampling method where each member of the population has an exactly equal chance of being chosen, reducing selection bias.

Question 25 of 39 Medium

The square root of the variance is known as the:

  1. A Range
  2. B Mean deviation
  3. C Standard deviation
  4. D Coefficient of variation

Correct answer: Standard deviation

Standard deviation is the positive square root of the variance and is used to quantify the amount of variation or dispersion of a set of data values.

Question 26 of 39 Medium

Which type of variable is the number of eggs laid by a Drosophila female?

  1. A Discrete variable
  2. B Continuous variable
  3. C Qualitative variable
  4. D Nominal variable

Correct answer: Discrete variable

Discrete variables represent counts that can only take specific integer values (e.g., 1, 2, 3 eggs) and cannot be subdivided into fractions.

Question 27 of 39 Medium

In a Normal (Gaussian) Distribution, what percentage of data points approximately fall within one standard deviation (±1 SD) of the mean?

  1. A 68%
  2. B 50%
  3. C 95%
  4. D 99%

Correct answer: 68%

According to the empirical rule for normal distributions, approximately 68.2% of the data falls within one standard deviation of the mean.

Question 28 of 39 Medium

Which of the following is an example of a 'Null Hypothesis' (H₀) for an experiment testing a new growth hormone in fish?

  1. A The hormone significantly increases the average total body weight of treated fish
  2. B The hormone significantly decreases fish weight
  3. C There is no significant difference in weight between treated and control fish
  4. D The hormone has toxic and harmful effects on the fish

Correct answer: There is no significant difference in weight between treated and control fish

The null hypothesis typically states that there is no effect, no difference, or no relationship between the variables being studied.

Question 29 of 39 Medium

The difference between the largest and the smallest observations in a data set is the:

  1. A Variance
  2. B Standard Error
  3. C Statistical Range
  4. D Quartile deviation

Correct answer: Statistical Range

The range is the simplest measure of dispersion, calculated by subtracting the minimum value from the maximum value in a data set.

Question 30 of 39 Medium

Which graphical representation is specifically used to show the relationship between two continuous variables, such as body length and body weight?

  1. A Vertical bar chart
  2. B Histogram
  3. C Scatter plot
  4. D Pie chart diagram

Correct answer: Scatter plot

A scatter plot uses dots to represent values for two different numeric variables, helping to visualize correlations or trends between them.

Question 31 of 39 Medium

If a coin is tossed three times, what is the total number of possible outcomes in the sample space?

  1. A 3
  2. B 6
  3. C 9
  4. D 8

Correct answer: 8

For independent events, the total outcomes are calculated as (n) raised to the power of (r). Here, 2 sides per coin raised to the power of 3 tosses (2³) equals 8.

Question 32 of 39 Medium

Which measure of dispersion is expressed as a percentage and used to compare the variability of two different populations with different units?

  1. A Standard Deviation
  2. B Variance
  3. C Interquartile Range (IQR)
  4. D Coefficient of Variation

Correct answer: Coefficient of Variation

The Coefficient of Variation (CV) is (Standard Deviation / Mean) * 100. Since it is a ratio, it is unitless and allows for the comparison of variance between groups with different scales.

Question 33 of 39 Medium

When a population is divided into non-overlapping groups (like age or sex) and samples are taken from each group, it is called:

  1. A Stratified random sampling
  2. B Cluster sampling
  3. C Multi-stage random sampling
  4. D Systematic sampling

Correct answer: Stratified random sampling

In stratified random sampling, the population is partitioned into 'strata' based on shared characteristics, and random samples are drawn from each stratum to ensure representation.

Question 34 of 39 Medium

Which of the following values cannot represent a probability?

  1. A 0
  2. B 0.5
  3. C 1.0
  4. D 1.5

Correct answer: 1.5

Probabilities must always range from 0 (impossible event) to 1 (certain event). A value of 1.5 is mathematically impossible in probability theory.

Question 35 of 39 Medium

Standard Error of the Mean (SEM) is calculated by dividing the standard deviation by the:

  1. A Mean
  2. B The total sample size (n)
  3. C The total population variance value
  4. D Square root of the sample size

Correct answer: Square root of the sample size

SEM = SD / √n. It measures how much the sample mean is likely to vary from the actual population mean.

Question 36 of 39 Medium

Which term describes the symmetry of a frequency distribution curve?

  1. A Kurtosis
  2. B Skewness
  3. C Precision
  4. D Accuracy

Correct answer: Skewness

Skewness refers to the lack of symmetry in a distribution. If one tail is longer than the other, the distribution is said to be skewed.

Question 37 of 39 Medium

The 'Mode' of a distribution is the value that:

  1. A Occurs most frequently in the data
  2. B Is the exact center of the data
  3. C Is the average of all values
  4. D Is the difference between mean and median

Correct answer: Occurs most frequently in the data

The mode is the observation that appears with the highest frequency in a data set. A data set can have one mode, multiple modes, or no mode at all.

Question 38 of 39 Medium

Which of the following is a 'Qualitative' or 'Categorical' variable?

  1. A Body temperature in °C
  2. B Blood group category
  3. C Weight in grams
  4. D Tail length in cm

Correct answer: Blood group category

Qualitative variables describe attributes or categories that do not have a natural numerical scale, such as blood type or eye color.

Question 39 of 39 Medium

In statistical testing, a 'p-value' less than 0.05 generally indicates that:

  1. A The result is due to chance
  2. B The null hypothesis should be accepted
  3. C Result is statistically significant
  4. D The sample size was too small

Correct answer: Result is statistically significant

A p-value < 0.05 means there is less than a 5% probability that the observed results occurred by random chance, leading researchers to reject the null hypothesis.

0 / 39 answered