Validity or suitability of sample

Comment on whether a described sampling method is suitable or random, or explain whether the Central Limit theorem was needed for a CI calculation.

3 questions · Moderate -0.3

5.05d Confidence intervals: using normal distribution
Sort by: Default | Easiest first | Hardest first
AQA S1 2010 June Q7
11 marks Standard +0.3
7 An ambulance control centre responds to emergency calls in a rural area. The response time, \(T\) minutes, is defined as the time between the answering of an emergency call at the centre and the arrival of an ambulance at the given location of the emergency. Response times have an unknown mean \(\mu _ { T }\) and an unknown variance.
Anita, the centre's manager, asked Peng, a student on supervised work experience, to record and summarise the values of \(T\) obtained from a random sample of 80 emergency calls. Peng's summarised results were $$\text { Mean, } \bar { t } = 6.31 \quad \text { Variance (unbiased estimate), } s ^ { 2 } = 19.3$$ Only 1 of the 80 values of \(T\) exceeded 20
  1. Anita then asked Peng to determine a confidence interval for \(\mu _ { T }\). Peng replied that, from his summarised results, \(T\) was not normally distributed and so a valid confidence interval for \(\mu _ { T }\) could not be constructed.
    1. Explain, using the value of \(\bar { t } - 2 s\), why Peng's conclusion that \(T\) was not normally distributed was likely to be correct.
    2. Explain why Peng's conclusion that a valid confidence interval for \(\mu _ { T }\) could not be constructed was incorrect.
  2. Construct a \(98 \%\) confidence interval for \(\mu _ { T }\).
  3. Anita had two targets for \(T\). These were that \(\mu _ { T } < 8\) and that \(\mathrm { P } ( T \leqslant 20 ) > 95 \%\). Indicate, with justification, whether each of these two targets was likely to have been met.
    \includegraphics[max width=\textwidth, alt={}]{c4844a30-6a86-49e3-b6aa-8e213dfc8ca1-19_2484_1707_223_155}
Pre-U Pre-U 9795/2 2016 June Q1
5 marks Moderate -0.5
1 An investigation was carried out of the lengths of commuters' journeys. For a random sample of 500 commuters, the mean journey time was 75 minutes, and the standard deviation was 40 minutes.
  1. Calculate a 95\% confidence interval for the mean journey time.
  2. Explain whether you need to assume that journey times are normally distributed.
Edexcel S3 Q6
12 marks Moderate -0.8
As part of her statistics project, Deepa decided to estimate the amount of time A-level students at her school spend on private study each week. She took a random sample of students from those studying Arts subjects, Science subjects and a mixture of Arts and Science subjects. Each student kept a record of the time they spent on private study during the third week of term.
  1. Write down the name of the sampling method used by Deepa. [1]
  2. Give a reason for using this method and give one advantage this method has over simple random sampling. [2]
The results Deepa obtained are summarised in the table below.
Type of studentSample sizeMean number of hours
Arts1212.6
Science1214.1
Mixture810.2
  1. Show that an estimate of the mean time spent on private study by A level students at Deepa's school, based on these 32 students is 12.56, to 2 decimal places. [3]
The standard deviation of the time spent on private study by students at the school was 2.48 hours.
  1. Assuming that the number of hours spent on private study is normally distributed, find a 95% confidence interval for the mean time spent on private study by A level students at Deepa's school. [4]
A member of staff at the school suggested that A level students should spend on average 12 hours each week on private study.
  1. Comment on this suggestion in the light of your interval. [2]