Self-evaluation test
The following 30 multiple-choice questions give a representative overview of the 40 multiple-choice questions of the actual Admission test.
Basic mathematics
What is logk(10k)?
- k*logk(10)
- 10
- k/10
- k*log10(k)
What is (100k)1/2?
What is k-1/2 (for k >= 0)?
em+n = em + en. Is this statement true or false?
log(m+n) = log(m) * log(n). Is this statement true or false (for both m and n > 0)?
log(1/m) = -log(m). Is this statement true or false (for m > 0)?
Below you find the matrices M1 and M2. What is their matrix product, i.e. what is M1T * M2?
Which vector is orthogonal to v (i.e. forms a 90 degree angle with it)?
What is the derivative of f(x) = log(x1/2 + 2) (with respect to x)?
- x1/2 / (2x1/2 + 4)
- -1 / (2x + 4x1/2)
- -x1/2 / (2x1/2 + 4)
- 1 / (2x + 4x1/2)
What is the integral of f(x) = xe2x (with respect to x)?
- (2x - 1)ex / 2 + Constant
- (2x - 1)e2x / 2 + Constant
- (2x - 1)ex / 4 + Constant
- (2x - 1)e2x / 4 + Constant
At what value does the function f(x) = -4x2 + 16x reach a maximum?
- -8
- 0
- 2
- None of the other options: the function f(x) reaches a minimum.
What is the area under the curve f(x) = 6x2 between the values x=-2 and x=2?
Probability
If a family has three children, then what is the probability that the family has AT LEAST two boys? Assume that a child of either gender is equally likely.
If two fair dice are thrown at the same time, what is the probability that you get a 1 is thrown first and a 2 next?
A letter is chosen at random from the word PROBABILITY. What is the probability that it is the letter B or I?
If three fair coins are thrown at the same time, then what is the probability of not obtaining three tails?
A company with 60 % male employees has 30 % female employees who work part-time. What is the probability that an employee of the company works part-time given it is a female employee?
Statistics
Consider the data values 10, 5, 6, 17, 13, 9, 19, 14, 7, 9. Their sample mean with 10 % of the values trimmed is 11.250.
Consider the following graph. It shows that the variance of the data is about 5.
A low p-value suggests that the null hypothesis is true.
Suppose researchers set up a study to evaluate a new treatment for allergies. Beforehand they specify that the chance of erroneously missing an effect equals 15%, while the chance of erroneously finding an effect equals 10%. When the eventual analysis returns a p-value of 0.12, the researchers will not reject the null hypothesis.
A farmer compares two fertilizing methods by means of a t-test. The 95 % confidence interval of the difference in mean yield between both methods is [-50; 850] euro. This implies that the difference in mean yield in this specific study is 400 euro.
R programming
The function load() loads a package in R and the function help() opens a help page.
- False for load() and false for help()
- False for load() but true for help()
- True for load() but false for help()
- True for load() and true for help()
Consider a vector x with 100 values in R. The command x[x == 50] selects those elements in x which are equal to 50 and the command x[-99] selects the one but last element in x.
- False for x[x == 50] and false for x[-99]
- True for x[x == 50] but false for x[-99]
- False for x[x == 50] but true for x[-99]
- True for x[x == 50] and true for x[-99]
With which R commands do you create the vectors [3, 2, 1,…, 3, 2, 1] and [5, 5, 5,…, 9, 9, 9] (each of length 15)?
- rep(3:1, times = 5) and rep(5:9, each = 3)
- rep(3:1, each = 5) and rep(5:9, times = 3)
Which R command implements the following mathematical expression (considering that the xi values are stored in a vector x of length N)?
- sum((x – sum(x)/len(x))^2) / len(x)
- sum((x – sum(x)/length(x))^2) / length(x)
- summate((x – summate(x)/len(x))^2) / len(x)
- summate((x – summate(x)/length(x))^2) / length(x)
The R function average() computes the statistical average of a vector and the function mode() computes its statistical mode.
- False for average() and false for mode()
- False for average() but true for mode()
- True for average() but false for mode()
- True for average() and true for mode()
Consider a numeric vector y in R and a grouping vector x (both of the same length). You can do a two-sided t-test with the R command t.test(y ~ x) and you can access its p-value with the command t.test(y ~ x)@p.value.
- False for t.test(y ~ x) and false for t.test(y ~ x)@p.value
- False for t.test(y ~ x) but true for t.test(y ~ x)@p.value
- True for t.test(y ~ x) but false for t.test(y ~ x)@p.value
- True for t.test(y ~ x) and true for t.test(y ~ x)@p.value
The function tr() generates t-distributed random values in R and the function fd() gives the probability under an F-distribution.
- False for tr() and false for fd()
- False for tr() but true for fd()
- True for tr() but false for fd()
- True for tr() and true for fd()
Which function in R is a high-level plotting function (i.e. it creates a new plot) and which is a low-level plotting function (i.e. it adds information to an existing plot)?
- High-level: text(), low-level: title()
- High-level: hist(), low-level: title()
- High-level: hist(), low-level: barplot()
- High-level: barplot(), low-level: hist()
Scores
Since the Admission test consists of multiple-choice questions, it is marked according to
Ghent University's regulations on multiple-choice tests. In addition, you need to correctly answer at least half of the questions in each of the four subsections (i.e.
Basic mathematics,
Probability,
Statistics and
R programming). Finally, you need to complete the test within 70 minutes.
The correct answers to the questions above are:
- k*logk(10)
- 10k
- 1/k0.5
- False
- False
- True
- MC
- vC
- 1 / (2x + 4x1/2)
- (2x - 1)e2x / 4 + Constant
- 2
- 32
- 1/2
- 1/36
- 4/11
- 7/8
- 3/4
- False
- False
- False
- True
- True
- False for load() but true for help()
- True for x[x == 50] but false for x[-99]
- rep(3:1, times = 5) and rep(5:9, each = 3)
- sum((x – sum(x)/length(x))^2) / length(x)
- False for average() and false for mode()
- True for t.test(y ~ x) but false for t.test(y ~ x)@p.value
- False for tr() and false for fd()
- High-level: hist(), low-level: title()