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The total number of goals scored during a random sample of $30$ Premier League football matches are shown below:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
$\\var{a[0]}$$\\var{a[1]}$$\\var{a[2]}$$\\var{a[3]}$$\\var{a[4]}$$\\var{a[5]}$$\\var{a[6]}$$\\var{a[7]}$$\\var{a[8]}$$\\var{a[9]}$
$\\var{a[10]}$$\\var{a[11]}$$\\var{a[12]}$$\\var{a[13]}$$\\var{a[14]}$$\\var{a[15]}$$\\var{a[16]}$$\\var{a[17]}$$\\var{a[18]}$$\\var{a[19]}$
$\\var{a[20]}$$\\var{a[21]}$$\\var{a[22]}$$\\var{a[23]}$$\\var{a[24]}$$\\var{a[25]}$$\\var{a[26]}$$\\var{a[27]}$$\\var{a[28]}$$\\var{a[29]}$
\n

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Given a table of data, calculate the mean, mode and median, and complete a frequency table.

", "licence": "Creative Commons Attribution 4.0 International"}, "advice": "

a)

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Organising the data in a frequency table helps to make mistakes less likely when calculating statistics from our data, summarising the responses all in one place with fewer numbers.

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Each row of the frequency column gives the number of Premier League football matches with the corresponding number of goals.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Total number of goals scoredFrequency
$0$$\\var{freq[0]}$
$1$$\\var{freq[1]}$
$2$$\\var{freq[2]}$
$3$$\\var{freq[3]}$
$4$$\\var{freq[4]}$
$5$$\\var{freq[5]}$
$6$$\\var{freq[6]}$
Total$30$
\n

Always remember to check whether your frequency column adds up to the total (here, it is $30$) to make sure you have not left out any responses.

\n

b)

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Mean

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The mean number of goals is the total number of goals, $\\sum x$, divided by the number of football matches in the sample, $n$.

\n

\\begin{align}  
\\sum x &= 0 \\times \\var{freq[0]} + 1 \\times \\var{freq[1]} + 2 \\times \\var{freq[2]} + 3 \\times \\var{freq[3]} + 4 \\times \\var{freq[4]} + 5 \\times \\var{freq[5]} + 6 \\times \\var{freq[6]}
\\\\
&= 0 + \\var{1*freq[1]} + \\var{2*freq[2]} + \\var{3*freq[3]} + \\var{4*freq[4]} + \\var{5*freq[5]} + \\var{6*freq[6]} \\\\&= \\var{sum(a)} \\text{.}
\\end{align}

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The total number of football matches $n$ is $30$.

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Therefore the mean is

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\\begin{align}
\\bar{x} &= \\frac{\\sum x}{n} \\\\
&= \\frac{\\var{sum(a)}}{30} \\\\
&= \\var{precround(mean, 2)} \\text{.}
\\end{align}

\n

\n

Mode

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The mode is the value with the highest frequency. Here, the mode is $\\var{mode}$ goals, with frequency $\\var{freq[mode]}$.

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Median

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The median is the \"middle\" value in the sample, when arranged in ascending order.

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To find the middle position within a data set, we take the sample size, add $1$, then divide by $2$. For our data set, the middle position is

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$\\displaystyle\\frac{n+1}{2}=\\frac{30+1}{2}=15.5.$

\n

As there is not actually a $15.5$th position, we need to find the mean of the $15$th and $16$th values. We can count from the top of the table until we locate rows where these values lie, as the numbers in the table are already sorted by order.

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Here, both $15$th and $16$th value lie in the row $\\var{as[14]}$.Here, the $15$th value lies in the row $\\var{as[14]}$ while the $16$th value lies in the row $\\var{as[15]}$.

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As $15$th value $= 16$th value $= \\var{as[14]}$, the median is $\\var{as[14]}$. The $15$th value $= \\var{as[14]}$ and $16$th value $= \\var{as[15]}$ and their mean is given by

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$ \\displaystyle \\frac{\\var{as[14]} + \\var{as[15]}}{2} =  \\frac{\\var{as[14] + as[15]}}{2} = \\var{median}{.}$

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This is the median for this data.

\n

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Complete the following frequency table:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Number goals scoredFrequency
$0$[[0]]
$1$[[1]]
$2$[[2]]
$3$[[3]]
$4$[[4]]
$5$[[5]]
$6$[[6]]
Total$30$
\n

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Find the mean, mode and median for this data.

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Mean = [[0]]

\n

Mode =  [[1]]

\n

Median =  [[2]]

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