WorksheetsQuantitative Methods in Finance Quiz 2
Total questions: 20
Worksheet time: 10mins
What is the primary purpose of univariate descriptive statistics?
To compare the relationship between two different variables.
To summarize the key features of a single variable.
To predict future values based on past data trends.
To determine the causation between two events.
How is the mean of a sample calculated?
By finding the most frequent value in the data set.
By identifying the middle point of the ordered data.
By adding all observations and dividing by the number of observations.
By subtracting the minimum value from the maximum value.
Why might the median be a better summary for financial data than the mean?
It is easier to calculate manually.
It accounts for the frequency of repeated values.
It is less affected by extreme values (outliers).
It always results in a whole number.
If a data set has an even number of observations, how is the median determined?
It is the highest value in the data set.
It is the average of the two middle data points.
It is the value that appears most often.
A median cannot be calculated for even data sets.
What is the mode of a data set?
The difference between the highest and lowest values.
The exact center of the data set.
The average of all values.
The most commonly observed value.
Which of the following is a potential disadvantage of the mode?
It is too sensitive to extreme values.
It may not always exist in a data set.
It requires complex algebraic formulas.
It can only be used for continuous variables.
Which measure of dispersion is calculated as the square of the standard deviation?
Variance.
Range.
Inter-quartile range.
Mean.
In practical examples like sales figures in pounds (£), why is standard deviation often preferred over variance?
It is a larger number and easier to see.
It is measured in the same units as the original data (£).
It is always a positive number while variance is negative.
It only considers the middle 50% of the data.
What is the formula for the Range?
Upper quartile minus lower quartile.
Maximum value minus minimum value.
The sum of all values divided by two.
Standard deviation squared.
Which quartile represents the 50th centile (the half-way mark) of ordered data?
Lower quartile.
First quartile.
Median (Second quartile).
Upper quartile.
How do you calculate the Inter-quartile range?
Maximum value minus minimum value.
Mean minus the median.
Upper quartile minus lower quartile.
Standard deviation divided by two.
When are inter-quartile ranges particularly useful compared to variance?
When the data set is very small.
When the data set contains extreme values.
When the data is normally distributed.
When the mean and mode are identical.
What do bivariate descriptive statistics summarize?
The distribution of a single variable.
How two variables are related to each other.
The frequency of values in a histogram.
The accuracy of a single hypothesis.
What is the range of values for a correlation coefficient?
Between 0 and 100.
Between -1 and 1.
Any positive number.
Between 0 and 1.
What does a negative correlation value indicate?
The two variables are completely unrelated.
The two variables move in the same direction.
The two variables tend to move in opposite directions.
There is an error in the data collection.
If two variables have a zero correlation, what does this mean?
They are perfectly related.
They move in the same direction.
They are unrelated to each other.
One variable is twice as large as the other.
What type of chart is used to view the distribution of a continuous variable?
Pie chart.
Histogram.
Line graph.
Venn diagram.
What are the characteristics of a 'Normal Distribution'?
It is skewed heavily to the left.
It has a bell shape, is symmetric, and has a single peak.
It has two distinct peaks and no center.
It is a flat horizontal line across all values.
Which of the following is considered a 'crude' measure of spread?
Standard deviation.
Variance.
Inter-quartile range.
Range.
What does a histogram show?
The correlation between two separate variables.
How many observations fall into each possible range of values.
The average value of the data set.
The difference between the mean and the mode.
