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MOCK EXAM STATISTICS, Exámenes selectividad de Estática

mock exam for a statistics exam from last year

Tipo: Exámenes selectividad

2022/2023

Subido el 24/06/2024

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Mock Exam (Exam April 2022)
You must answer ONLY TWO questions, (the weighting is noted against the
sub-questions).
1. A survey found that 31% of the students applying to university wanted to attend a
university that was within 250 kilometres of their family home. The survey also found
that 51% of parents wanted their child to attend a university that was within 250
kilometres of the family home.
The results were based on simple random samples of 8347 students and 2087 parents
of students applying to university.
1.1. Construct a 90% confidence interval for the proportion of students who want to
attend a university within 250 kilometres of their family home. Show and justify
your calculations.
Construct a 90% confidence interval for the proportion of parents who want their
child to attend a university within 250 kilometres of their home. Show and justify
your calculations.
[25%]
1.2. What is the interpretation of the above 90% confidence intervals for the popula-
tion proportions?
[10%]
1.3. Explain why the two 90% confidence intervals for students and parents are not
of the same width.
[15%]
2. A simple random sample of size n= 15 is drawn from a distribution with probability
density function
fY= 3(1 y)2,0y1
2.1. Compute the expectation and the variance of Y. Show and justify your calcula-
tions.
Hint: Recall that Var(X) = E(XµX)2=E(X2)µ2
X,with µX=E(X).
[25%]
CONTINUED OVERLEAF
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Mock Exam (Exam April 2022)

You must answer ONLY TWO questions, (the weighting is noted against the sub-questions).

  1. A survey found that 31% of the students applying to university wanted to attend a university that was within 250 kilometres of their family home. The survey also found that 51% of parents wanted their child to attend a university that was within 250 kilometres of the family home. The results were based on simple random samples of 8347 students and 2087 parents of students applying to university.

1.1. Construct a 90% confidence interval for the proportion of students who want to attend a university within 250 kilometres of their family home. Show and justify your calculations. Construct a 90% confidence interval for the proportion of parents who want their child to attend a university within 250 kilometres of their home. Show and justify your calculations. [25%] 1.2. What is the interpretation of the above 90% confidence intervals for the popula- tion proportions? [10%] 1.3. Explain why the two 90% confidence intervals for students and parents are not of the same width. [15%]

  1. A simple random sample of size n = 15 is drawn from a distribution with probability density function fY = 3(1 − y)^2 , 0 ≤ y ≤ 1

2.1. Compute the expectation and the variance of Y. Show and justify your calcula- tions. Hint: Recall that Var(X) = E(X − μX )^2 = E(X^2 ) − μ^2 X , with μX = E(X). [25%]

CONTINUED OVERLEAF

2.2. Let Y¯ = 151

P 15

i=1 Yi. Use the central limit theorem to approximate

Pr

≤ Y¯ ≤

where Pr(A) denotes the probability that the event A occurs. Show and justify your calculations. [25%]

  1. Assume that { 10 , 12 , 15 , 16 , 16 , 17 , 20 , 22 } is a simple random sample from a popula- tion X, which is normally distributed.

3.1. Test the null hypothesis that E(X) = 15 at the significance level α = 0. 01. Show and justify your calculations. Hint: Note that x¯ = (

P 8

j=1 xj^ )/8 = 16^ and^

P 8

j=1(xj^ −^ x¯)

[25%]

3.2. What is the lowest level of significance at which the null hypothesis can be re- jected? Show and justify your calculations. Explain why it is useful to compute the p-value. [25%]

END OF PAPER