Calculate mean or variance

A question is this type if and only if it asks to find, state, or prove the mean or variance of an exponential distribution, either from the PDF or using calculus.

3 questions · Standard +0.3

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AQA Further Paper 3 Statistics 2021 June Q7
11 marks Standard +0.3
7 The random variable \(X\) has an exponential distribution with parameter \(\lambda\) 7
  1. Prove that \(\mathrm { E } ( X ) = \frac { 1 } { \lambda }\) 7
  2. Prove that \(\operatorname { Var } ( X ) = \frac { 1 } { \lambda ^ { 2 } }\)
OCR MEI S3 2010 June Q4
18 marks Moderate -0.3
A random variable \(X\) has an exponential distribution with probability density function \(f(x) = \lambda e^{-\lambda x}\) for \(x \geq 0\), where \(\lambda\) is a positive constant.
  1. Verify that \(\int_0^{\infty} f(x) \, dx = 1\) and sketch \(f(x)\). [5]
  2. In this part of the question you may use the following result. $$\int_0^{\infty} x^r e^{-\lambda x} \, dx = \frac{r!}{\lambda^{r+1}} \text{ for } r = 0, 1, 2, \ldots$$ Derive the mean and variance of \(X\) in terms of \(\lambda\). [6]
The random variable \(X\) is used to model the lifetime, in years, of a particular type of domestic appliance. The manufacturer of the appliance states that, based on past experience, the mean lifetime is 6 years.
  1. Let \(\overline{X}\) denote the mean lifetime, in years, of a random sample of 50 appliances. Write down an approximate distribution for \(\overline{X}\). [4]
  2. A random sample of 50 appliances is found to have a mean lifetime of 7.8 years. Does this cast any doubt on the model? [3]
OCR Further Statistics 2017 Specimen Q8
15 marks Standard +0.8
A continuous random variable \(X\) has probability density function given by $$f(x) = \begin{cases} 0.8e^{-0.8x} & x \geq 0, \\ 0 & x < 0. \end{cases}$$
  1. Find the mean and variance of \(X\). [4]
The lifetime of a certain organism is thought to have the same distribution as \(X\). The lifetimes in days of a random sample of 60 specimens of the organism were found. The observed frequencies, together with the expected frequencies correct to 3 decimal places, are given in the table.
Range\(0 \leq x < 1\)\(1 \leq x < 2\)\(2 \leq x < 3\)\(3 \leq x < 4\)\(x \geq 4\)
Observed24221031
Expected33.04014.8466.6712.9972.446
  1. Show how the expected frequency for \(1 \leq x < 2\) is obtained. [4]
  2. Carry out a goodness of fit test at the 5\% significance level. [7]