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A random sample of 8 observations of a normal random variable X has mean \( \bar{x} \), where \( \bar{x} = 6.246 \) and \( \sum (x - \bar{x})^2 = 0.784 \) - CIE - A-Level Further Maths - Question 6 - 2016 - Paper 1

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A-random-sample-of-8-observations-of-a-normal-random-variable-X-has-mean-\(-\bar{x}-\),-where-\(-\bar{x}-=-6.246-\)-and-\(-\sum-(x---\bar{x})^2-=-0.784-\)-CIE-A-Level Further Maths-Question 6-2016-Paper 1.png

A random sample of 8 observations of a normal random variable X has mean \( \bar{x} \), where \( \bar{x} = 6.246 \) and \( \sum (x - \bar{x})^2 = 0.784 \). Test, at... show full transcript

Worked Solution & Example Answer:A random sample of 8 observations of a normal random variable X has mean \( \bar{x} \), where \( \bar{x} = 6.246 \) and \( \sum (x - \bar{x})^2 = 0.784 \) - CIE - A-Level Further Maths - Question 6 - 2016 - Paper 1

Step 1

Estimate population variance:

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Answer

The sample variance, ( s^2 ), can be estimated using the formula:

s2=(xxˉ)2n1=0.78481=0.78470.112. s^2 = \frac{\sum (x - \bar{x})^2}{n - 1} = \frac{0.784}{8 - 1} = \frac{0.784}{7} \approx 0.112.

Thus, we will use this variance in further calculations.

Step 2

State hypotheses:

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Answer

We will conduct a one-tailed test where:

  • Null Hypothesis (( H_0 )): ( \mu \geq 6.44 )
  • Alternative Hypothesis (( H_1 )): ( \mu < 6.44 )

Step 3

Calculate value of test statistic:

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Answer

Using the formula for the t-statistic:

t=xˉμ0s/nt = \frac{\bar{x} - \mu_0}{s / \sqrt{n}}

Substituting in the values:

  • ( \bar{x} = 6.246 )
  • ( \mu_0 = 6.44 )
  • ( s = \sqrt{0.112} \approx 0.334 )
  • ( n = 8 )

We get:

t=6.2466.440.334/80.1940.1181.645.t = \frac{6.246 - 6.44}{0.334 / \sqrt{8}} \approx \frac{-0.194}{0.118} \approx -1.645.

Step 4

State our correct tabular value:

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Answer

Using a t-table for a one-tailed test with ( n-1 = 7 ) degrees of freedom and a significance level of 0.05, the critical value is approximately -1.895.

Step 5

Conclusion:

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Answer

Since our calculated t-value of -1.645 is greater than -1.895, we do not reject the null hypothesis.

Thus, at the 5% significance level, we do not have sufficient evidence to conclude that the population mean of ( X ) is less than 6.44.

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