Correct Answer: A subset selected from the population
Explanation:
A sample is a smaller group drawn from the population, used to make inferences about the whole population.
Incorrect! Try again.
2The complete set of all items or individuals under study is called the:
introduction to sampling
Easy
A.Sample
B.Population
C.Statistic
D.Variable
Correct Answer: Population
Explanation:
The population refers to the entire collection of items or individuals of interest in a study.
Incorrect! Try again.
3One main advantage of sampling over studying the whole population is that it:
introduction to sampling
Easy
A.Saves time and cost
B.Increases the population size
C.Removes all errors
D.Always gives exact results
Correct Answer: Saves time and cost
Explanation:
Sampling requires fewer resources, making studies faster and cheaper than examining the entire population.
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4In simple random sampling, every member of the population has:
types of sampling: random and non random sampling
Easy
A.A chance based on their opinion
B.An equal chance of being selected
C.No chance of being selected
D.A chance based on convenience
Correct Answer: An equal chance of being selected
Explanation:
Simple random sampling ensures each member has an equal and independent probability of selection.
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5Which of the following is an example of non-random sampling?
types of sampling: random and non random sampling
Easy
A.Systematic random sampling
B.Simple random sampling
C.Convenience sampling
D.Stratified random sampling
Correct Answer: Convenience sampling
Explanation:
Convenience sampling selects units based on ease of access, not on random probability, making it a non-random method.
Incorrect! Try again.
6Dividing a population into subgroups and then randomly selecting from each is called:
types of sampling: random and non random sampling
Easy
A.Snowball sampling
B.Stratified sampling
C.Judgment sampling
D.Quota sampling
Correct Answer: Stratified sampling
Explanation:
Stratified sampling splits the population into strata and draws random samples from each to ensure representation.
Incorrect! Try again.
7In which sampling method does the researcher select units based on personal expertise or judgment?
types of sampling: random and non random sampling
Easy
A.Judgment sampling
B.Simple random sampling
C.Cluster sampling
D.Systematic sampling
Correct Answer: Judgment sampling
Explanation:
Judgment (purposive) sampling relies on the researcher's own judgment to choose units, making it a non-random method.
Incorrect! Try again.
8Data that describes qualities or categories, such as colour or gender, is called:
introduction to types of data-qualitative, quantitative, ordinal
Easy
A.Qualitative data
B.Continuous data
C.Quantitative data
D.Discrete data
Correct Answer: Qualitative data
Explanation:
Qualitative (categorical) data describes attributes or categories rather than numerical amounts.
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9Which of the following is an example of quantitative data?
introduction to types of data-qualitative, quantitative, ordinal
Easy
A.Blood group
B.Favourite food
C.Height in centimetres
D.Eye colour
Correct Answer: Height in centimetres
Explanation:
Quantitative data consists of numerical measurements such as height, weight, or age.
Incorrect! Try again.
10Data that can be ranked in a meaningful order, such as poor, average, good, is called:
introduction to types of data-qualitative, quantitative, ordinal
Easy
A.Continuous data
B.Ordinal data
C.Nominal data
D.Ratio data
Correct Answer: Ordinal data
Explanation:
Ordinal data has categories that follow a natural order or ranking, though differences between them are not fixed.
Incorrect! Try again.
11The arithmetic mean of the values is:
measures of central tendency: arithmetic Mean, average, median and its importance
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
Mean .
Incorrect! Try again.
12The median of a data set is the:
measures of central tendency: arithmetic Mean, average, median and its importance
Easy
A.Middle value when data is arranged in order
B.Sum of all values
C.Difference between largest and smallest values
D.Most frequently occurring value
Correct Answer: Middle value when data is arranged in order
Explanation:
The median is the central value that divides an ordered data set into two equal halves.
Incorrect! Try again.
13The median of the values is:
measures of central tendency: arithmetic Mean, average, median and its importance
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
With five ordered values, the middle (third) value is the median, which is .
Incorrect! Try again.
14The arithmetic mean is calculated by:
measures of central tendency: arithmetic Mean, average, median and its importance
Easy
A.Dividing the sum of values by their number
B.Choosing the middle value
C.Subtracting the smallest from the largest
D.Picking the most common value
Correct Answer: Dividing the sum of values by their number
Explanation:
The arithmetic mean equals the total of all observations divided by the number of observations.
Incorrect! Try again.
15Which measure of central tendency is most affected by extreme values (outliers)?
measures of central tendency: arithmetic Mean, average, median and its importance
Easy
A.Mode
B.Median
C.Range
D.Arithmetic mean
Correct Answer: Arithmetic mean
Explanation:
The mean uses every value, so very large or small values pull it strongly, unlike the median.
Incorrect! Try again.
16Which of the following is a characteristic of an ideal average?
characteristics of an ideal average
Easy
A.It should ignore some of the data
B.It should always be the largest value
C.It should be easy to understand and calculate
D.It should change with the observer
Correct Answer: It should be easy to understand and calculate
Explanation:
An ideal average should be simple to compute, clearly defined, and based on all observations.
Incorrect! Try again.
17An ideal average should be based on:
characteristics of an ideal average
Easy
A.A single random observation
B.Only the largest observation
C.All observations in the data
D.Only the smallest observation
Correct Answer: All observations in the data
Explanation:
A good average considers every value in the data set so that it truly represents the whole.
Incorrect! Try again.
18The value of Karl Pearson's coefficient of correlation always lies between:
correlation - Karl Pearson coefficient of correlation
Easy
A. and
B. and
C. and
D. and
Correct Answer: and
Explanation:
Pearson's correlation coefficient is bounded, satisfying .
Incorrect! Try again.
19A Karl Pearson correlation coefficient of indicates:
correlation - Karl Pearson coefficient of correlation
Easy
A.No correlation
B.Perfect positive correlation
C.Perfect negative correlation
D.A weak correlation
Correct Answer: Perfect positive correlation
Explanation:
When , the two variables move together perfectly in the same direction.
Incorrect! Try again.
20Inferential statistics is mainly used to:
introduction to inferential statistics
Easy
A.Only organise data in tables
B.Draw conclusions about a population from a sample
C.List every value in the population
D.Measure only qualitative data
Correct Answer: Draw conclusions about a population from a sample
Explanation:
Inferential statistics uses sample data to make generalisations or predictions about a larger population.
Incorrect! Try again.
21A researcher studies employees but collects data from only of them. The employees represent the:
introduction to sampling
Medium
A.Parameter
B.Sample
C.Population
D.Census
Correct Answer: Sample
Explanation:
A sample is a subset selected from the population. Here, the employees form the sample drawn from the population of .
Incorrect! Try again.
22Which of the following is the main advantage of sampling over a complete census?
introduction to sampling
Medium
A.It removes the need for statistical inference
B.It always eliminates all forms of error
C.It reduces cost and time while giving reliable estimates
D.It guarantees results identical to the population
Correct Answer: It reduces cost and time while giving reliable estimates
Explanation:
Sampling saves cost, time, and effort while still producing reliable estimates. It does not eliminate error entirely, nor does it match the population exactly.
Incorrect! Try again.
23A researcher selects every person from a list of customers to form a sample. This method is called:
types of sampling: random and non random sampling
Medium
A.Quota sampling
B.Systematic sampling
C.Convenience sampling
D.Stratified sampling
Correct Answer: Systematic sampling
Explanation:
Selecting units at a fixed interval (every item) from an ordered list is systematic sampling, a type of probability sampling.
Incorrect! Try again.
24A market researcher interviews shoppers who happen to be near the store entrance because they are easy to reach. This is an example of:
types of sampling: random and non random sampling
Medium
A.Convenience sampling
B.Cluster sampling
C.Simple random sampling
D.Systematic sampling
Correct Answer: Convenience sampling
Explanation:
Selecting units simply because they are easily accessible is convenience sampling, a non-random (non-probability) method prone to bias.
Incorrect! Try again.
25To ensure each subgroup (age group) is proportionally represented, a researcher divides the population into age groups and samples from each. This is:
types of sampling: random and non random sampling
Medium
A.Cluster sampling
B.Snowball sampling
C.Stratified sampling
D.Quota sampling
Correct Answer: Stratified sampling
Explanation:
Dividing the population into homogeneous strata and randomly sampling from each ensures proportional representation, which defines stratified sampling.
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26Which of the following is a key feature that distinguishes random sampling from non-random sampling?
types of sampling: random and non random sampling
Medium
A.It does not require a sampling frame
B.It is always cheaper to conduct
C.The sample size is always larger
D.Every unit has a known, nonzero chance of selection
Correct Answer: Every unit has a known, nonzero chance of selection
Explanation:
In random (probability) sampling, each unit has a known nonzero probability of being chosen. Non-random methods rely on judgment or convenience instead.
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27The variable "customer satisfaction" measured as Poor, Average, Good, Excellent is an example of which type of data?
introduction to types of data-qualitative, quantitative, ordinal
Medium
A.Ordinal
B.Interval
C.Nominal
D.Ratio
Correct Answer: Ordinal
Explanation:
These categories have a meaningful order (rank) but no fixed numerical distance between them, which characterizes ordinal data.
Incorrect! Try again.
28Which of the following variables is quantitative (numerical)?
introduction to types of data-qualitative, quantitative, ordinal
Medium
A.Marital status
B.Blood group of a patient
C.Number of children in a family
D.Favourite colour
Correct Answer: Number of children in a family
Explanation:
Number of children is a countable numeric quantity, making it quantitative. The others are categorical (qualitative) variables.
Incorrect! Try again.
29A dataset records the gender of respondents as Male or Female. This is best classified as:
introduction to types of data-qualitative, quantitative, ordinal
Medium
A.Nominal qualitative data
B.Ordinal data
C.Discrete quantitative data
D.Continuous quantitative data
Correct Answer: Nominal qualitative data
Explanation:
Gender categories have no inherent order and are not numerical, so the data is nominal (a type of qualitative data).
Incorrect! Try again.
30The arithmetic mean of the values is:
measures of central tendency: arithmetic Mean, average, median and its importance
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Mean .
Incorrect! Try again.
31Find the median of the data set: .
measures of central tendency: arithmetic Mean, average, median and its importance
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Arranged in order: . With values, the median is the average of the and : .
Incorrect! Try again.
32In a dataset containing an extreme outlier, which measure of central tendency is most appropriate?
measures of central tendency: arithmetic Mean, average, median and its importance
Medium
A.Median
B.Sum of values
C.Arithmetic mean
D.Range
Correct Answer: Median
Explanation:
The median is not affected by extreme values, so it better represents the centre of skewed data with outliers, unlike the mean.
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33The mean of observations is . If one observation of value is removed, the mean of the remaining becomes:
measures of central tendency: arithmetic Mean, average, median and its importance
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Total of values . After removing , sum over values, so new mean .
Incorrect! Try again.
34The median of the ordered data is:
measures of central tendency: arithmetic Mean, average, median and its importance
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
With (odd) values, the median is the middle () value, which is .
Incorrect! Try again.
35Which of the following is NOT a desirable characteristic of an ideal average?
characteristics of an ideal average
Medium
A.It should be based on all observations
B.It should be affected greatly by extreme values
C.It should be easy to understand
D.It should be rigidly defined
Correct Answer: It should be affected greatly by extreme values
Explanation:
An ideal average should NOT be unduly affected by extreme values. Rigid definition, use of all observations, and simplicity are desirable traits.
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36Which characteristic of the arithmetic mean makes it suitable for further algebraic and statistical treatment?
characteristics of an ideal average
Medium
A.It is based only on the middle value
B.It ignores extreme values
C.It cannot be calculated for open-ended classes
D.It is capable of algebraic manipulation
Correct Answer: It is capable of algebraic manipulation
Explanation:
The mean can be combined and manipulated algebraically (e.g., combined means), a property that makes it valuable for further analysis.
Incorrect! Try again.
37Karl Pearson's coefficient of correlation always lies within which range?
correlation - Karl Pearson coefficient of correlation
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Pearson's is bounded between (perfect negative) and (perfect positive), with indicating no linear correlation.
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38If the correlation coefficient between two variables is , this indicates:
correlation - Karl Pearson coefficient of correlation
Medium
A.A strong negative linear relationship
B.A weak positive relationship
C.No relationship at all
D.A perfect positive relationship
Correct Answer: A strong negative linear relationship
Explanation:
A value close to (like ) indicates a strong negative linear relationship: as one variable increases, the other tends to decrease.
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39Karl Pearson's coefficient of correlation is given by which formula?
correlation - Karl Pearson coefficient of correlation
Medium
A.
B.
C.
D. (deviations from mean)
Correct Answer: (deviations from mean)
Explanation:
Using deviations from the means, , which measures the strength of linear association.
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40A value of between two variables indicates:
correlation - Karl Pearson coefficient of correlation
Medium
A.A perfect positive correlation
B.A strong negative correlation
C.No linear correlation between them
D.That the variables are identical
Correct Answer: No linear correlation between them
Explanation:
means there is no linear relationship. Note that a nonlinear relationship may still exist even when .
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41For a bivariate dataset, the covariance is , the standard deviation of is , and the standard deviation of is . What is the Karl Pearson coefficient of correlation?
correlation - Karl Pearson coefficient of correlation
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Using . The negative sign indicates an inverse linear relationship.
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42If each value of is multiplied by and each value of is increased by , how does the Karl Pearson correlation coefficient change?
correlation - Karl Pearson coefficient of correlation
Hard
A.It remains unchanged
B.It becomes
C.It becomes
D.It becomes
Correct Answer: It remains unchanged
Explanation:
The Karl Pearson coefficient is invariant under linear transformations of the form (with positive scale). Since multiplying by a positive constant and adding constants do not affect the standardized relationship, stays the same.
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43A dataset of observations has a mean of . On rechecking, it is found that an observation recorded as should have been . What is the corrected mean?
measures of central tendency: arithmetic Mean, average, median and its importance
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Original sum . Corrected sum . Corrected mean .
Incorrect! Try again.
44Which characteristic of an ideal average is primarily violated by the mode when a dataset has two peaks of equal frequency?
characteristics of an ideal average
Hard
A.It should be rigidly defined
B.It should be based on all observations
C.It should be easy to understand
D.It should be affected by extreme values
Correct Answer: It should be rigidly defined
Explanation:
A bimodal distribution yields two modes, so the value is not uniquely determined. This violates the requirement that an ideal average be rigidly (uniquely) defined.
Incorrect! Try again.
45A researcher divides a population into strata by age group and then randomly selects proportionally from each stratum. Later the same list is sampled by selecting every -th person. Which two techniques are being combined?
types of sampling: random and non random sampling
Hard
A.Cluster sampling and quota sampling
B.Stratified random sampling and systematic sampling
C.Convenience sampling and stratified sampling
D.Simple random sampling and snowball sampling
Correct Answer: Stratified random sampling and systematic sampling
Explanation:
Dividing into strata with proportional random selection is stratified random sampling; selecting every -th unit is systematic sampling. Both are probability-based methods.
Incorrect! Try again.
46The mean of items was . Two items and were wrongly read as and . What is the correct mean?
measures of central tendency: arithmetic Mean, average, median and its importance
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Wrong sum . Correct sum . Correct mean .
Incorrect! Try again.
47Two variables have a Karl Pearson correlation coefficient of . What proportion of the variation in one variable is linearly explained by the other?
correlation - Karl Pearson coefficient of correlation
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The coefficient of determination is , meaning of the variation is explained by the linear relationship.
Incorrect! Try again.
48A survey records customer satisfaction as 'Poor', 'Average', 'Good', 'Excellent'. Which statement is most accurate about this data?
introduction to types of data-qualitative, quantitative, ordinal
Hard
A.It is interval; equal differences are guaranteed
B.It is ordinal; differences between categories are not necessarily equal
C.It is ratio; a true zero point exists
D.It is nominal; categories have no meaningful order
Correct Answer: It is ordinal; differences between categories are not necessarily equal
Explanation:
The categories have a natural rank order but the gaps between them are not measurable or equal, which is the defining feature of ordinal data.
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49For a moderately skewed distribution, the mode is and the mean is . Using the empirical relationship, what is the approximate median?
measures of central tendency: arithmetic Mean, average, median and its importance
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Empirical relation: . So .
Incorrect! Try again.
50Which of the following best describes the concept of 'sampling error'?
introduction to sampling
Hard
A.A mistake made while recording data during collection
B.Bias introduced by a poorly worded questionnaire
C.The error caused by non-response from selected units
D.The difference between a sample statistic and the true population parameter due to observing only a subset
Correct Answer: The difference between a sample statistic and the true population parameter due to observing only a subset
Explanation:
Sampling error is the natural variation arising because a sample, not the whole population, is studied. Recording mistakes and non-response are non-sampling errors.
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51The regression coefficients of a dataset are and . What is the value of the correlation coefficient?
correlation - Karl Pearson coefficient of correlation
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The correlation coefficient is the geometric mean of the two regression coefficients: (positive since both coefficients are positive).
Incorrect! Try again.
52A journalist interviews people found by asking initial respondents to refer their acquaintances, useful for studying a hidden population of undocumented workers. This technique is:
types of sampling: random and non random sampling
Hard
A.Stratified sampling, a random method
B.Systematic sampling, a random method
C.Snowball sampling, a non-random method
D.Cluster sampling, a random method
Correct Answer: Snowball sampling, a non-random method
Explanation:
Snowball sampling relies on referrals from existing subjects, making it a non-probability (non-random) method well suited to hard-to-reach or hidden populations.
Incorrect! Try again.
53The combined mean of two groups is . Group A has items with mean , and Group B has items with mean . What is the value of ?
measures of central tendency: arithmetic Mean, average, median and its importance
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Combined mean . So , giving , thus .
Incorrect! Try again.
54In hypothesis testing, a Type I error occurs when:
introduction to inferential statistics
Hard
A.A true null hypothesis is rejected
B.The sample size is too small to detect an effect
C.The alternative hypothesis is accidentally set as the null
D.A false null hypothesis is retained
Correct Answer: A true null hypothesis is rejected
Explanation:
A Type I error (false positive) is rejecting the null hypothesis when it is actually true; its probability is denoted . Retaining a false null is a Type II error.
Incorrect! Try again.
55Which average satisfies the maximum number of characteristics of an ideal average, being rigidly defined, based on all observations, and capable of further algebraic treatment?
characteristics of an ideal average
Hard
A.Geometric mode
B.Arithmetic mean
C.Mode
D.Median
Correct Answer: Arithmetic mean
Explanation:
The arithmetic mean is rigidly defined, uses every observation, and permits algebraic manipulation (e.g., combined means). Its main drawback is sensitivity to extreme values, but it meets the most ideal criteria.
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56A student computes for a dataset. What is the most appropriate conclusion?
correlation - Karl Pearson coefficient of correlation
Hard
A.The relationship is non-linear and can exceed
B.The variables are causally dependent on each other
C.A computational error occurred, since must lie between and
D.There is a very strong positive correlation exceeding perfect correlation
Correct Answer: A computational error occurred, since must lie between and
Explanation:
The Karl Pearson coefficient is bounded: . A value of is impossible and signals an arithmetic mistake in the calculation.
Incorrect! Try again.
57Which of the following variables is best classified as discrete quantitative data?
introduction to types of data-qualitative, quantitative, ordinal
Hard
A.Number of defective items in a batch
B.Blood group of patients
C.Ranking in a competition
D.Height of students in centimetres
Correct Answer: Number of defective items in a batch
Explanation:
A count of defective items takes only whole-number values, making it discrete quantitative. Height is continuous, blood group is qualitative/nominal, and ranking is ordinal.
Incorrect! Try again.
58In a distribution of incomes with a few extremely high earners, which measure of central tendency is most appropriate and why?
measures of central tendency: arithmetic Mean, average, median and its importance
Hard
A.Mode, because it identifies the most common income
B.Mean, because it uses all observations
C.Median, because it is not distorted by extreme values
D.Mean, because it is easiest to compute
Correct Answer: Median, because it is not distorted by extreme values
Explanation:
Income distributions are typically right-skewed by high earners. The median, based on position rather than magnitude, resists distortion from extreme values and better represents the typical income.
Incorrect! Try again.
59A researcher wants to generalize findings from a sample to a population using probability theory. This process best exemplifies:
introduction to inferential statistics
Hard
A.Census enumeration of the entire population
B.Data cleaning and preprocessing techniques
C.Inferential statistics through estimation and hypothesis testing
D.Descriptive statistics through data summarization
Correct Answer: Inferential statistics through estimation and hypothesis testing
Explanation:
Drawing conclusions about a population from sample data using probability underlies inferential statistics, which includes estimation and hypothesis testing. Descriptive statistics only summarizes observed data.
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60A factory quality inspector, needing quick results, tests only the units placed nearest to the office door each morning. What is the key limitation of this approach?
types of sampling: random and non random sampling
Hard
A.Simple random sampling was used but the sample size is too small
B.Convenience sampling introduces bias, so results may not represent the whole batch
C.Stratified sampling was applied without defining strata
D.Systematic sampling requires a fixed interval that is missing here
Correct Answer: Convenience sampling introduces bias, so results may not represent the whole batch
Explanation:
Selecting the most accessible units is convenience sampling, a non-random method. It risks selection bias because the sampled units may systematically differ from the rest of the batch.
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