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In a region of England, the government decides to use an advertising campaign to encourage people to eat more healthily - AQA - A-Level Maths Pure - Question 18 - 2018 - Paper 3

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In a region of England, the government decides to use an advertising campaign to encourage people to eat more healthily. Before the campaign, the mean consumption o... show full transcript

Worked Solution & Example Answer:In a region of England, the government decides to use an advertising campaign to encourage people to eat more healthily - AQA - A-Level Maths Pure - Question 18 - 2018 - Paper 3

Step 1

State the sampling method used to collect the survey.

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Answer

The sampling method used to collect the survey is known as opportunistic sampling, where the first 750 available individuals were selected from the population.

Step 2

Explain why this sample should not be used to conduct a hypothesis test.

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Answer

The sample should not be used to conduct a hypothesis test because it is not random. The individuals selected may not represent the entire population, leading to bias.

Step 3

Investigate, at the 10% level of significance, whether the advertising campaign has reduced the consumption of chocolate per person per week.

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Answer

Let us formulate our null and alternative hypotheses:

  • Null Hypothesis (H₀): μ = 66.5g (the mean consumption has not changed)
  • Alternative Hypothesis (H₁): μ < 66.5g (the mean consumption has decreased)

Next, we calculate the test statistic using the formula: z = rac{ar{x} - ext{μ}}{ rac{ ext{σ}}{ ext{√n}}} Where:

  • ar{x} = 65.4g (sample mean)
  • μ = 66.5g (population mean)
  • σ = 21.2g (standard deviation)
  • n = 750 (sample size)

Thus, we find: z = rac{65.4 - 66.5}{ rac{21.2}{ ext{√750}}} Calculating the standard error: ext{SE} = rac{21.2}{ ext{√750}} ≈ 0.732 Now, substituting back: z ≈ rac{-1.1}{0.732} ≈ -1.50

We compare the calculated z-value to the critical z-value at the 10% level of significance, which is -1.28 for a one-tailed test. Since -1.50 < -1.28, we reject H₀.

Conclusion: There is sufficient evidence at the 10% level of significance to suggest that the advertising campaign has reduced the consumption of chocolate per person per week.

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