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Step 1: Null Hypothesis

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$\\operatorname{H}_0\\;: \\; \\mu=\\;$[[0]]

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Step 2: Alternative Hypothesis

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$\\operatorname{H}_1\\;: \\; \\mu \\neq\\;$[[1]]

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Step 3: Test statistic

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Should we use the z or t test statistic? [[0]] (enter z or t).

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Now calculate the test statistic = ? [[1]] (to 3 decimal places)

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Step 4: critical value

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Use tables to find the critical value for a significance level of 5%. 

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[[0]]

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\n

Your Decision:

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[[0]]

\n

\n

 

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Conclusion:

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[[1]]

\n

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{this} 

\n

{claim}

\n

{test}

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A sample of {n} {things}

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{resultis} £{m} with a standard  deviation of £{stand}.

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Perform an appropriate hypothesis test to see if the claim made by the online flight company is substantiated (use a two-tailed test).

\n ", "metadata": {"description": "

Provided with information on a sample with sample mean and standard deviation, but no information on the population variance, use the t test to either accept or reject a given null hypothesis.

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a)

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Step 1: Null Hypothesis

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$\\operatorname{H}_0\\;: \\; \\mu=\\;\\var{thisamount}$

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Step 2: Alternative Hypothesis

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$\\operatorname{H}_1\\;: \\; \\mu \\neq\\;\\var{thisamount}$

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b)

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We should use the t statistic as the population variance is unknown.

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The test statistic:

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\\[t =\\frac{ |\\var{m} -\\var{thisamount}|} {\\sqrt{\\frac{\\var{stand} ^ 2 }{\\var{n}}}} = \\var{tval}\\]

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to 3 decimal places.

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c)

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As  $n=\\var{n}$ we use the $t_{\\var{n-1}}$ tables.  For a significance level of 5%:

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$t_{{\\frac{\\alpha}{2},}\\var{n-1}}=\\var{tcrit}$

\n

\n


d)

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Hence there is {evi1[pval]} evidence against $\\operatorname{H}_0$ and so we {dothis} $\\operatorname{H}_0$.

\n

{Correctc}

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