COMM5000-Week1
Test your understanding of core statistics and data analysis concepts, including sampling, measurement types, data visualisation, probabilities, skewness, quartiles, variance, standard deviation, and correlation measures.
Made by @ffranch
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1: Milestone 1 (case study insight development) is worth how much, and when is it due?
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25%, Week 7 Friday
50%, Week 10 Friday
20%, Week 4 Friday 5 PM
5%, Weeks 6 and 7
2: A single measurement of something on an understandable scale is called a:
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Data
Datum
Statistic
Parameter
3: Filling a missing value with the mean or median of the other data is called:
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Imputation
Pairwise deletion
Deleting the whole characteristic
Garbage in, garbage out
4: Which pair of symbols refers to POPULATION parameters?
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s and n
σ and n
s and N
σ and N
5: Systematic favouring of certain outcomes due to how the sample was obtained is:
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Representative sampling
Imputation
Sampling bias
Pairwise deletion
6: A survey scale 1 = happy, 2 = neutral, 3 = unhappy is which type of data?
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Continuous
Discrete
Nominal
Ordinal
7: Observing the SAME sample of individuals at two or more points in time produces:
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Cross-sectional data
Panel (longitudinal) data
Pooled cross-section time series
Nominal data
8: Categories in a frequency distribution must be mutually exclusive and:
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Normally distributed
Ordered chronologically
Collectively exhaustive
Equal in size
9: Which chart suits QUANTITATIVE data and needs bins of equal size?
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Histogram
Bar chart
Pie chart
Contingency table
10: Pie charts emphasise which aspect of the categories?
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Absolute frequency
Time trends
Correlation
Relative frequency
11: 13 of 39 female students walk; there are 83 students in total. P(Walk given Female) = ?
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13/39 (about 33%)
13/83 (about 16%)
39/83 (about 47%)
1 - 13/39 (about 67%)
12: In a right (positively) skewed distribution, how do the mean and median compare?
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Mean < median
Mean = median
Mean > median
They cannot be compared
13: What is the median of the data set 5, 9, 14, 3, 2, 1, 70?
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3
5
9
14.86
14: Exam marks: Q1 = 38%, median = 51%, Q3 = 69%, min = 5%, max = 100%. What is the IQR?
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95%
13%
18%
31%
15: When computing a SAMPLE variance, the sum of squared deviations is divided by:
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n - 1
n (the sample size)
N (the population size)
n + 1
16: Why is the standard deviation easier to interpret than the variance?
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It is always a smaller number
It is not affected by outliers
It is in the same units as the data
It is unit free
17: Which statement about the correlation coefficient is correct?
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Its units are x unit * y unit
It is unit free and ranges from -1 to 1
It ranges from 0 to 100
It measures only non-linear relationships
18: For a U-shaped relationship, Pearson's r is about 0 but ksaai (ξ) is 0.78. Why?
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