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2.5 Statistical Hypothesis Testing

2.5 Statistical Hypothesis Testing

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Question 56

A meteorologist recorded the average daily rainfall (RRR) and the number of umbrellas sold (UUU) at a local shop for 12 selected days.

Rainfall (R R\,R mm)2.54.05.58.010.512.015.018.020.022.025.028.0
Umbrellas sold (UUU)375121018152219282430
a.

Draw a scatter graph for this information.

[2]
b.

Give an interpretation of the correlation between rainfall and umbrellas sold.

[1]
c.

The equation of the regression line is U=1.05R+1.22U = 1.05R + 1.22U=1.05R+1.22.

Give an interpretation of the gradient of this regression line.

[1]
d.

The product moment correlation coefficient is calculated to be 0.55.

Stating your hypotheses clearly, test at the 5% significance level whether there is a positive correlation between rainfall and umbrella sales.

[4]
e.

Determine whether you would reach the same conclusion at the 1% significance level.

[2]
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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