AQA Further AS Paper 2 Statistics (Further AS Paper 2 Statistics) 2020 June

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Question 1 1 marks
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The discrete random variable \(X\) has the following probability distribution function. $$\mathrm{P}(X = x) = \begin{cases} 0.2 & x = 1 \\ 0.3 & x = 2 \\ 0.1 & x = 3, 4 \\ 0.25 & x = 5 \\ 0.05 & x = 6 \\ 0 & \text{otherwise} \end{cases}$$ Find the mode of \(X\). Circle your answer. [1 mark] 0.1 \quad 0.25 \quad 2 \quad 3
Question 2 1 marks
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A \(\chi^2\) test is carried out in a school to test for association between the class a student belongs to and the number of times they are late to school in a week. The contingency table below gives the expected values for the test.
Number of times late
01234
A8.121415.12144.76
Class B8.9915.516.7415.55.27
C11.8920.522.1420.56.97
Find a possible value for the degrees of freedom for the test. Circle your answer. [1 mark] 6 \quad 8 \quad 12 \quad 15
Question 3 5 marks
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The random variable \(X\) represents the value on the upper face of an eight-sided dice after it has been rolled. The faces are numbered 1 to 8 The random variable \(X\) is modelled by a discrete uniform distribution with \(n = 8\)
  1. Find E\((X)\) [1 mark]
  2. Find Var\((X)\) [1 mark]
  3. Find P\((X \geq 6)\) [1 mark]
  4. The dice was rolled 800 times and the results below were obtained.
    \(x\)12345678
    Frequency1036384110744185240
    State, with a reason, how you would refine the model for the random variable \(X\). [2 marks]
Question 4 3 marks
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Murni is investigating the annual salary of people from a particular town. She takes a random sample of 200 people from the town and records their annual salary. The mean annual salary is £28 500 and the standard deviation is £5100 Calculate a 97% confidence interval for the population mean of annual salaries for the people who live in the town, giving your values to the nearest pound. [3 marks]
Question 5 7 marks
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The discrete random variable \(X\) has the following probability distribution.
\(x\)2469
P\((X = x)\)0.20.60.10.1
  1. Find P\((X \leq 6)\) [1 mark]
  2. Let \(Y = 3X + 2\) Show that Var\((Y) = 32.49\) [5 marks]
  3. The continuous random variable \(T\) is independent of \(Y\). Given that Var\((T) = 5\), find Var\((T + Y)\) [1 mark]
Question 6 8 marks
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The continuous random variable \(X\) has probability density function $$f(x) = \begin{cases} \frac{4}{45}(x^3 - 10x^2 + 29x - 20) & 1 \leq x \leq 4 \\ 0 & \text{otherwise} \end{cases}$$
  1. Find P\((X < 2)\) [2 marks]
  2. Verify that the median of \(X\) is 2.3, correct to two significant figures. [4 marks]
  3. Find the mean of \(X\). [2 marks]
Question 7 6 marks
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A restaurant has asked Sylvia to conduct a \(\chi^2\) test for association between meal ordered and age of customer.
  1. State the hypotheses that Sylvia should use for her test. [1 mark]
  2. Sylvia correctly calculates her value of the test statistic to be 44.1 She uses a 5% level of significance and the degrees of freedom for the test is 30 Sylvia accepts the null hypothesis. Explain whether or not Sylvia was correct to accept the null hypothesis. [4 marks]
  3. State in context the correct conclusion to Sylvia's test. [1 mark]
Question 8 9 marks
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There are two hospitals in a city. Over a period of time, the first hospital recorded an average of 20 births a day. Over the same period of time, the second hospital recorded an average of 5 births a day. Stuart claims that birth rates in the hospitals have changed over time. On a randomly chosen day, he records a total of 16 births from the two hospitals.
  1. Investigate Stuart's claim, using a suitable test at the 5% level of significance. [6 marks]
  2. For a test of the type carried out in part (a), find the probability of making a Type I error, giving your answer to two significant figures. [3 marks]