Degrees: Pharmacy, Biotechnology
Date: November 28, 2016

## Question 1

The table below gives the distribution of points obtained by students in the MIR exam last year.

1. Compute the interquartile range and explain your result. Are there outliers in the sample?
2. The minimum number of points to pass the exam is 150; what percentage of students passed the exam?
3. Study the representativity of the mean.
4. According to the values of skewness and kurtosis, can we assume that the sample has been taken from a normally distributed population?
5. Compute the standarized points of a student that got 150 points in the MIR.

## Question 2

The table show the data of the GDP (Gross Domestic Product) per capita (thousands of euros) and infant mortality (children per thousand) from 1993 till 2000.

Year GDP Mortality
1993 17 6.0
1994 17 5.6
1995 18 5.2
1996 18 4.9
1997 19 4.6
1998 20 4.3
1999 21 4.1
2000 22 4.0
1. Estimate the value of the GDP for an infant mortality of 3.8 children per thousand using the linear regression model.
2. Which regression model explains better the GDP as a function of the infant mortality, a linear model or an exponential one?
3. If we assume that the GPD per capita in year 2001 was 23 thousand €, what will be the expected infant mortality, according to the exponential regression model?
4. Consider the linear models of GDP on infant mortality, and infant mortality on GDP; which of the two is more reliable?

Use the following sums for the computations ($X$=GDP and $Y$=Infant mortality): $\sum x_i=152$, $\sum \log(x_i)=23.5229$, $\sum y_j=38.7$, $\sum \log(y_j)=12.5344$, $\sum x_i^2=2912$, $\sum \log(x_i)^2=69.2305$, $\sum y_j^2=190.87$, $\sum \log(y_j)^2=19.7912$, $\sum x_iy_j=726.5$, $\sum x_i\log(y_j)=236.3256$, $\sum \log(x_i)y_j=113.3308$, $\sum \log(x_i)\log(y_j)=36.76$.

## Question 3

Consider two variables $X$ and $Y$. Assume that the regression lines of the linear models intersect at the point $(2,3)$, and that, according to the appropriate linear model, the expected value of $Y$ for $x=3$ is $y=1$. How much will $Y$ change, according to the linear model, when $X$ increases by one unit?

If the coefficient of linear correlation is $-0.8$, how much will $X$ change, according to the linear model, when $Y$ increases by one unit?