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BIO401 Final Term AI Solved

Box and Whisker Plot is also sometimes called:

A) Whisker Box
B) None of these
C) Box Whisker
D) Box Plot

AI Explanation

A box-and-whisker plot is commonly shortened to a box plot. It displays the distribution of data using the median, quartiles, and whiskers.

BIO401 Final Term AI Solved

Two or more events are said to be _________ , if the events do not have any outcomes in common.

A) mutually inclusive
B) none of these
C) interdependent
D) mutually exclusive

AI Explanation

Two or more events are mutually exclusive when they have no outcomes in common. Therefore, the occurrence of one event prevents the other from occurring simultaneously.

BIO401 Final Term AI Solved

Quantiles are more robust and less susceptible than _ if there are outlying observations in the data

A) Standard deviation
B) Mean
C) Dispersion
D) Mode

AI Explanation

Quantiles are robust measures that are less affected by extreme or outlying observations. The mean, by contrast, can be strongly influenced by unusually large or small values.

BIO401 Final Term AI Solved

In an array the Quartiles are _ cut-points that divides the values into 4 equal parts.

A) 3
B) 6
C) 4
D) 2

AI Explanation

Quartiles divide an ordered data set into four equal parts. Three cut-points, Q1, Q2, and Q3, are therefore required to create these four parts.

BIO401 Final Term AI Solved

Relative frequency in population is known as

A) None of these
B) Probability
C) Dispersion
D) Sampling

AI Explanation

Relative frequency represents the proportion of times an event occurs within a population. In probability theory, this relative frequency corresponds to the probability of the event.

BIO401 Final Term AI Solved

The location parameters which help us to determine the position of a particular observations in a data are called _______

A) Measures of observation
B) Measures of position
C) Measures of change
D) Local parameters

AI Explanation

Measures of position describe where a particular observation lies within a data set. Examples include quartiles, percentiles, and deciles.

BIO401 Final Term AI Solved

If an Event consists of exactly one outcome, it is called

A) Simple complex event
B) Simple Event
C) None of these
D) Complex event

AI Explanation

A simple event consists of exactly one outcome from the sample space. An event containing two or more possible outcomes is called a compound or complex event.

BIO401 Final Term AI Solved

The positive square root of the variance is called _______

A) Standard deviation
B) Mode
C) Mean
D) Quartile

AI Explanation

Standard deviation is defined as the positive square root of the variance. It measures the typical spread of observations around the mean.

BIO401 Final Term AI Solved

__________________ is independent of the scale of measurement:

A) Dispersion
B) Coefficient of variation
C) Standard deviation
D) All

AI Explanation

The coefficient of variation is a relative measure of dispersion calculated as the standard deviation divided by the mean. Because it is a ratio, it is independent of the scale of measurement.

BIO401 Final Term AI Solved

Which one is not the condition for Binomial distributio?

A) For each trial, there are only two possible outcomes (success/failure).
B) There is a fixed number, n, of identical trials.
C) The probability of success, p, remains the same for each trial.
D) None

AI Explanation

All three listed statements are conditions of a binomial distribution: fixed identical trials, two possible outcomes per trial, and a constant probability of success. Therefore, none of the options A-C is an incorrect condition.

BIO401 Final Term AI Solved

Q10

________ is defined as departure from symmetry

A) Mode
B) Probability
C) Mean
D) Skewness

AI Explanation

Skewness is a statistical measure that describes the departure of a distribution from symmetry. A symmetric distribution has little or no skewness, while asymmetric distributions show positive or negative skewness.

BIO401 Final Term AI Solved

Q11

The Mean and Median are Special cases of a family of parameters known as

A) Location parameters
B) None of these
C) Specific parameters
D) Local parameters

AI Explanation

The mean and median are measures that describe the central or positional location of observations in a distribution. They are therefore special cases of location parameters.

BIO401 Final Term AI Solved

Q12

The Mean and Median are Special cases of a family of parameters known as __________

A) Local parameters
B) Non-local parameters
C) Risk parameters
D) Mobile parameters

AI Explanation

The mean and median are commonly classified as location parameters because they indicate the central position of a distribution. Among the given options, “Local parameters” is the intended answer.

BIO401 Final Term AI Solved

Q13

The range of a list is ____________ if and only if all the data-points in the list are _______________:

A) 0, unequal
B) 1, unequal
C) 0, equal
D) 1, equal

AI Explanation

The range is calculated as the maximum value minus the minimum value. Therefore, the range is zero exactly when all data points have the same value.

BIO401 Final Term AI Solved

Q14

Skewness can be of ________ types:

A) 4
B) 1
C) 2
D) 3

AI Explanation

Skewness is commonly classified into three types: symmetric or zero skewness, positive skewness, and negative skewness. These describe the direction and degree of asymmetry in a distribution.

BIO401 Final Term AI Solved

Q15

in the special rule of multiplication of probability, the events must be:

A) Non exclusive
B) Mutually exclusive
C) Independent
D) Empirical

AI Explanation

The special multiplication rule for probability applies when events are independent. For independent events, the probability of both occurring is the product of their individual probabilities.

BIO401 Final Term AI Solved

Q16

The special rule of multiplication of probability, the events must be:

A) Empirical
B) Independent
C) Bayesian
D) Mutually exclusive

AI Explanation

The special multiplication rule requires independent events. In this case, the occurrence of one event does not affect the probability of the other.

BIO401 Final Term AI Solved

Q17

_______ estimates relationship between more than two variables.

A) Basic correlation
B) Multiple correlation
C) Basic regression
D) Binary correlation

AI Explanation

Multiple correlation measures the relationship between one variable and two or more other variables considered together. It extends the idea of simple correlation to multiple predictors or variables.

BIO401 Final Term AI Solved

Q18

Simple Correlation coefficient (r) is also called as _________

A) Kumar's correlation coefficient
B) Taimura's correlation coefficient
C) Monto's correlation coefficient
D) Pearson's correlation coefficient

AI Explanation

The simple correlation coefficient, commonly represented by r, is known as Pearson's correlation coefficient. It measures the strength and direction of a linear relationship between two variables.

BIO401 Final Term AI Solved

Q19

For large “p” and small “n”, the binomial distribution will be:

A) Right skewed
B) Non-symmetric
C) Left skewed
D) Symmetric

AI Explanation

When the probability of success p is large and the number of trials n is relatively small, a binomial distribution tends to be negatively or left skewed. Most outcomes cluster near the upper end, producing a longer tail toward lower values.