Question 1
26 marks
Hypothesis tests on phone use and exam results
- Statistics and probability
(a)(i)
1 mark
We are comparing the means of two independent groups with unknown population variances, so a -test on two samples is the right tool. It is one-tailed because we only care whether B is lower.
Mentor tip
A -test needs known population standard deviations. Here we only have sample values, so it is a -test.
(a)(ii)
1 mark
The -test relies on the underlying scores being normal. (The pooled version also assumes the two schools share the same population variance; either assumption works.)
Mentor tip
Give one assumption and phrase it about the populations, not the samples.
(a)(iii)
2 marks
- Hypotheses are about the population means and , not the sample means and .
- The alternative points the way we suspect: B lower than A.
Mentor tip
Writing is a common slip: the sample means are known numbers, so there is nothing to test about them.
(a)(iv)
3 marks
- The table gives , but the GDC wants the unbiased estimate , so convert each one first.
- Run the pooled two-sample -test on the GDC with .
Mentor tip
Typing and straight into the GDC gives a slightly wrong -value. Always check which standard deviation you have been handed.
(a)(v)
2 marks
- Compare the -value with the level.
- It is smaller, so reject and say what that means for the two schools.
Mentor tip
A conclusion needs both halves: the comparison with and a sentence in context about the schools.
(b)
1 mark
Think about what else could explain the gap. Only two schools were compared, and many things besides phones differ between schools (teachers, intake, resources).
Mentor tip
Avoid vague answers like 'not enough data'. Tie your reason to this study, for example the fact that just two schools were sampled.
(c)
3 marks
- Use the midpoint of each mark class: (the marks are whole numbers, so to has midpoint ).
- Multiply by the unrestricted-use frequencies, add up and divide by .
Mentor tip
Midpoints like and treat the data as continuous and give . For whole-number marks, average the smallest and largest possible values.
(d)(i)
2 marks
- Expected count . The smallest one sits in the lowest mark class and the unrestricted column.
- It is below , so merge that class with its neighbour: the first two rows.
Mentor tip
Quote the actual expected value. Saying 'some are under 5' without showing which is not a justification.
(d)(ii)
4 marks
- : achievement and mobile phone policy are independent. : they are not independent.
- Enter the table (first two rows merged into ) into the GDC test.
- Compare with and answer in terms of Ling's belief.
Mentor tip
If you forget to merge the rows the GDC gives . Same conclusion, but the wrong test.
(e)
1 mark
A Type I error means rejecting a true . The chance of that is exactly the significance level.
(f)(i)
3 marks
- Under the sample mean is normal with mean and standard error .
- The test is upper one-tailed, so find the value with above it using inverse normal.
Mentor tip
Use the standard error, not itself: the test is about the mean of 60 students.
(f)(ii)
1 mark
A Type II error is failing to reject when the true mean is . Find the chance the sample mean lands outside the critical region under that true mean.
Mentor tip
Keep the unrounded critical value in the GDC. Rounding to first moves the answer.
(g)(i)
1 mark
A larger significance level widens the critical region, so it is easier to reject when it is false.
(g)(ii)
1 mark
The price of a wider critical region is that a true is also rejected more often.
Mentor tip
For a fixed sample size, Type I and Type II errors pull against each other: lowering one raises the other.

