Single binomial probability calculation

Questions asking for exactly one probability calculation (e.g., P(X=k) or P(X≥k) or P(X≤k)) from a binomial distribution in context, without multiple parts requiring different probability types.

4 questions

Edexcel Paper 3 2019 June Q4
  1. Magali is studying the mean total cloud cover, in oktas, for Leuchars in 1987 using data from the large data set. The daily mean total cloud cover for all 184 days from the large data set is summarised in the table below.
Daily mean total cloud cover (oktas)012345678
Frequency (number of days)01471030525228
One of the 184 days is selected at random.
  1. Find the probability that it has a daily mean total cloud cover of 6 or greater. Magali is investigating whether the daily mean total cloud cover can be modelled using a binomial distribution. She uses the random variable \(X\) to denote the daily mean total cloud cover and believes that \(X \sim \mathrm {~B} ( 8,0.76 )\) Using Magali's model,
    1. find \(\mathrm { P } ( X \geqslant 6 )\)
    2. find, to 1 decimal place, the expected number of days in a sample of 184 days with a daily mean total cloud cover of 7
  2. Explain whether or not your answers to part (b) support the use of Magali's model. There were 28 days that had a daily mean total cloud cover of 8 For these 28 days the daily mean total cloud cover for the following day is shown in the table below.
    Daily mean total cloud cover (oktas)012345678
    Frequency (number of days)001121599
  3. Find the proportion of these days when the daily mean total cloud cover was 6 or greater.
  4. Comment on Magali's model in light of your answer to part (d).
AQA AS Paper 2 2018 June Q19
19 Martin grows cucumbers from seed.
AQA AS Paper 2 Specimen Q19
9 marks
19 Ellie, a statistics student, read a newspaper article that stated that 20 per cent of students eat at least five portions of fruit and vegetables every day. Ellie suggests that the number of people who eat at least five portions of fruit and vegetables every day, in a sample of size \(n\), can be modelled by the binomial distribution \(\mathrm { B } ( n , 0.20 )\). 19
  1. There are 10 students in Ellie's statistics class.
    Using the distributional model suggested by Ellie, find the probability that, of the students in her class: 19
    1. two or fewer eat at least five portions of fruit and vegetables every day;
      [0pt] [1 mark] 19
  2. (ii) at least one but fewer than four eat at least five portions of fruit and vegetables every day;
    [0pt] [2 marks] 19
  3. Ellie's teacher, Declan, believes that more than 20 per cent of students eat at least five portions of fruit and vegetables every day. Declan asks the 25 students in his other statistics classes and 8 of them say that they eat at least five portions of fruit and vegetables every day. 19
    1. Name the sampling method used by Declan. 19
  4. (ii) Describe one weakness of this sampling method.
    19
  5. (iii) Assuming that these 25 students may be considered to be a random sample, carry out a hypothesis test at the \(5 \%\) significance level to investigate whether Declan's belief is supported by this evidence.
    [0pt] [6 marks]
SPS SPS SM 2021 February Q2
2. A researcher is studying changes in behaviour in travelling to work by people who live outside London, between 2001 and 2011. He chooses the 15 Local Authorities (LAs) outside London with the largest decreases in the percentage of people driving to work, and arranges these in descending order. The table shows the changes in percentages from 2001 to 2011 in various travel categories, for these Local Authorities.
Local AuthorityWork mainly at or from homeUnderground, metro, light rail, tramTrainBus, minibus or coachDriving a car or vanPassenger in a car or vanBicycleOn foot
Brighton and Hove3.20.11.50.8-8.2-1.52.12.3
Cambridge2.20.01.61.2-7.4-1.03.10.6
Elmbridge2.90.44.10.2-6.6-0.70.3-0.3
Oxford2.00.00.6-0.4-5.2-1.12.22.1
Epsom and Ewell1.60.43.91.1-5.2-0.90.0-0.6
Watford0.72.03.10.4-4.5-1.20.0-0.1
Tandridge3.30.24.0-0.1-4.5-1.10.0-1.3
Mole Valley3.30.11.90.3-4.4-0.70.2-0.3
St Albans2.30.33.4-0.3-4.3-1.20.3-0.2
Chiltern2.91.41.40.1-4.2-0.6-0.2-0.8
Exeter0.70.01.0-0.6-4.2-1.51.73.4
Woking2.10.13.70.0-4.2-1.3-0.10.0
Reigate and Banstead1.80.13.20.6-4.1-1.00.1-0.2
Waverley4.30.12.5-0.5-3.9-0.9-0.3-0.9
Guildford2.70.12.40.2-3.6-1.20.0-0.3
  1. Explain why these LAs are not necessarily the 15 LAs with the largest decreases in the percentage of people driving to work.
  2. The researcher wants to talk to those LAs outside London which have been most successful in encouraging people to change to cycling or walking to work.
    Suggest four LAs that he should talk to and why.
  3. The researcher claims that Waverley is the LA outside London which has had the largest increase in the number of people working mainly at or from home.
    Does the data support his claim? Explain your answer.
  4. Which two categories have replaced driving to work for the highest percentages of workers in these LAs? Support your answer with evidence from the table.
  5. The researcher suggested that there would be strong correlation between the decrease in the percentage driving to work and the increase in percentage working mainly at or from home. Without calculation, use data from the table to comment briefly on this suggestion.