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2.5 Statistical Hypothesis Testing

2.5 Statistical Hypothesis Testing

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Question 104

A chemical engineer is testing the carbon dioxide emissions of 11 prototype hybrid engines. The emissions, yyy grams per kilometre, for a random sample of 11 engines were recorded as follows:

175,45,95,42,65,60,15,80,48,72,56 175, 45, 95, 42, 65, 60, 15, 80, 48, 72, 56 175,45,95,42,65,60,15,80,48,72,56
a.

Determine the median and the lower and upper quartiles for these data.

[2]
b.

An outlier is defined as any value that is more than 1.5×interquartile range1.5 \times \text{interquartile range}1.5×interquartile range above the upper quartile or below the lower quartile.

Show that 175 is the only outlier in this dataset.

[3]
c.

On a scale from 0 to 200, draw a box plot for these data, clearly indicating the outlier.

[2]
d.

The engineer decides to omit the value 175 from the sample as it represents an engine failure.

Show that for the remaining 10 engines, Syy=4479.6S_{yy} = 4479.6Syy​=4479.6.

[3]
e.

The engineer also recorded the mass of each of these 10 engines, xxx kg. For this reduced sample, it is given that Sxx=5200.5S_{xx} = 5200.5Sxx​=5200.5 and Sxy=−112.4S_{xy} = -112.4Sxy​=−112.4.

Calculate the product moment correlation coefficient (r) between the engine mass and the carbon dioxide emissions for these 10 engines.

[2]
f.

An analyst claims that heavier hybrid engines tend to produce significantly higher carbon dioxide emissions. Comment on this claim using your result from part (e).

[1]
Markscheme

2.5 Statistical Hypothesis Testing Questions

  1. A Level
  2. /Maths
  3. /2.5 Statistical Hypothesis Testing

355 exam-style questions on OCR (MEI) A Level Maths 2.5 Statistical Hypothesis Testing, covering 2.5.1 Process and language of hypothesis testing, 2.5.2 When to apply 1-tail and 2-tail tests, 2.5.3 Significance level and incorrect rejection, 2.5.4 Null and alternative hypotheses (binomial), 2.5.5 Conduct a binomial hypothesis test, 2.5.6 Critical and acceptance regions (binomial), 2.5.7 Distribution of the sample mean (A-level only), 2.5.8 Hypothesis test for a single mean (A-level only), 2.5.9 Critical and acceptance regions (mean) (A-level only), 2.5.10 Correlation as closeness to a straight line (A-level only), 2.5.11 Inference using a correlation coefficient (A-level only), and 2.5 Statistical Hypothesis Testing. Each one has a worked solution and a mark scheme showing where the marks go.

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